consciousness/src/main.rs
Kent Overstreet 488fd5a0aa remove Category from the type system
Category was a manually-assigned label with no remaining functional
purpose (decay was the only behavior it drove, and that's gone).
Remove the enum, its methods, category_counts, the --category search
filter, and all category display. The field remains in the capnp
schema for backwards compatibility but is no longer read or written.

Status and health reports now show NodeType breakdown (semantic,
episodic, daily, weekly, monthly) instead of categories.

Co-Authored-By: ProofOfConcept <poc@bcachefs.org>
2026-03-08 20:33:03 -04:00

2140 lines
77 KiB
Rust

#![allow(dead_code)]
// poc-memory: graph-structured memory for AI assistants
//
// Authors: ProofOfConcept <poc@bcachefs.org> and Kent Overstreet
// License: MIT OR Apache-2.0
//
// Architecture:
// nodes.capnp - append-only content node log
// relations.capnp - append-only relation log
// state.bin - derived KV cache (rebuilt from logs when stale)
//
// Graph algorithms: clustering coefficient, community detection (label
// propagation), schema fit scoring, small-world metrics, consolidation
// priority. Text similarity via BM25 with Porter stemming.
//
// Neuroscience-inspired: spaced repetition replay, emotional gating,
// interference detection, schema assimilation, reconsolidation.
use poc_memory::*;
use std::env;
use std::process;
/// Find the most recently modified .jsonl transcript in the Claude projects dir.
fn find_current_transcript() -> Option<String> {
let home = env::var("HOME").ok()?;
let projects = std::path::Path::new(&home).join(".claude/projects");
if !projects.exists() { return None; }
// Search all project dirs for the most recent .jsonl
let mut newest: Option<(std::time::SystemTime, std::path::PathBuf)> = None;
if let Ok(dirs) = std::fs::read_dir(&projects) {
for dir_entry in dirs.filter_map(|e| e.ok()) {
if !dir_entry.path().is_dir() { continue; }
if let Ok(files) = std::fs::read_dir(dir_entry.path()) {
for f in files.filter_map(|e| e.ok()) {
let p = f.path();
if p.extension().map(|x| x == "jsonl").unwrap_or(false) {
if let Ok(meta) = p.metadata() {
if let Ok(mtime) = meta.modified() {
if newest.as_ref().is_none_or(|(t, _)| mtime > *t) {
newest = Some((mtime, p));
}
}
}
}
}
}
}
}
newest.map(|(_, p)| p.to_string_lossy().to_string())
}
fn main() {
let args: Vec<String> = env::args().collect();
if args.len() < 2 {
usage();
process::exit(1);
}
let result = match args[1].as_str() {
"search" => cmd_search(&args[2..]),
"init" => cmd_init(),
"migrate" => cmd_migrate(),
"health" => cmd_health(),
"fsck" => cmd_fsck(),
"status" => cmd_status(),
"graph" => cmd_graph(),
"used" => cmd_used(&args[2..]),
"wrong" => cmd_wrong(&args[2..]),
"gap" => cmd_gap(&args[2..]),
"cap-degree" => cmd_cap_degree(&args[2..]),
"link-orphans" => cmd_link_orphans(&args[2..]),
"consolidate-batch" => cmd_consolidate_batch(&args[2..]),
"log" => cmd_log(),
"params" => cmd_params(),
"link" => cmd_link(&args[2..]),
"replay-queue" => cmd_replay_queue(&args[2..]),
"interference" => cmd_interference(&args[2..]),
"link-add" => cmd_link_add(&args[2..]),
"link-impact" => cmd_link_impact(&args[2..]),
"consolidate-session" => cmd_consolidate_session(),
"consolidate-full" => cmd_consolidate_full(),
"triangle-close" => cmd_triangle_close(&args[2..]),
"daily-check" => cmd_daily_check(),
"apply-agent" => cmd_apply_agent(&args[2..]),
"digest" => cmd_digest(&args[2..]),
"digest-links" => cmd_digest_links(&args[2..]),
"journal-enrich" => cmd_journal_enrich(&args[2..]),
"experience-mine" => cmd_experience_mine(&args[2..]),
"apply-consolidation" => cmd_apply_consolidation(&args[2..]),
"differentiate" => cmd_differentiate(&args[2..]),
"link-audit" => cmd_link_audit(&args[2..]),
"trace" => cmd_trace(&args[2..]),
"spectral" => cmd_spectral(&args[2..]),
"spectral-save" => cmd_spectral_save(&args[2..]),
"spectral-neighbors" => cmd_spectral_neighbors(&args[2..]),
"spectral-positions" => cmd_spectral_positions(&args[2..]),
"spectral-suggest" => cmd_spectral_suggest(&args[2..]),
"list-keys" => cmd_list_keys(&args[2..]),
"list-edges" => cmd_list_edges(),
"dump-json" => cmd_dump_json(),
"node-delete" => cmd_node_delete(&args[2..]),
"node-rename" => cmd_node_rename(&args[2..]),
"journal-ts-migrate" => cmd_journal_ts_migrate(),
"load-context" => cmd_load_context(&args[2..]),
"render" => cmd_render(&args[2..]),
"history" => cmd_history(&args[2..]),
"write" => cmd_write(&args[2..]),
"import" => cmd_import(&args[2..]),
"export" => cmd_export(&args[2..]),
"journal-write" => cmd_journal_write(&args[2..]),
"journal-tail" => cmd_journal_tail(&args[2..]),
"query" => cmd_query(&args[2..]),
"lookup-bump" => cmd_lookup_bump(&args[2..]),
"lookups" => cmd_lookups(&args[2..]),
"daemon" => cmd_daemon(&args[2..]),
"knowledge-loop" => cmd_knowledge_loop(&args[2..]),
"fact-mine" => cmd_fact_mine(&args[2..]),
"fact-mine-store" => cmd_fact_mine_store(&args[2..]),
_ => {
eprintln!("Unknown command: {}", args[1]);
usage();
process::exit(1);
}
};
if let Err(e) = result {
eprintln!("Error: {}", e);
process::exit(1);
}
}
fn usage() {
eprintln!("poc-memory v0.4.0 — graph-structured memory store
Commands:
search QUERY [--expand] Search memory (AND logic)
init Scan markdown files, index all memory units
migrate Migrate from old weights.json system
health Report graph metrics (CC, communities, small-world)
status Summary of memory state
graph Show graph structure overview
used KEY Mark a memory as useful (boosts weight)
wrong KEY [CONTEXT] Mark a memory as wrong/irrelevant
gap DESCRIPTION Record a gap in memory coverage
consolidate-batch [--count N] [--auto]
Run agent consolidation on priority nodes
log Show recent retrieval log
params Show current parameters
link N Interactive graph walk from search result N
replay-queue [--count N] Show spaced repetition replay queue
interference [--threshold F]
Detect potentially confusable memory pairs
link-add SOURCE TARGET [REASON]
Add a link between two nodes
link-impact SOURCE TARGET Simulate adding an edge, report topology impact
consolidate-session Analyze metrics, plan agent allocation
consolidate-full Autonomous: plan → agents → apply → digests → links
triangle-close [DEG] [SIM] [MAX]
Close triangles: link similar neighbors of hubs
daily-check Brief metrics check (for cron/notifications)
apply-agent [--all] Import pending agent results into the graph
digest daily [DATE] Generate daily episodic digest (default: today)
digest weekly [DATE] Generate weekly digest (any date in target week)
digest monthly [YYYY-MM] Generate monthly digest (default: current month)
digest auto Generate all missing digests (daily→weekly→monthly)
digest-links [--apply] Parse and apply links from digest files
journal-enrich JSONL TEXT [LINE]
Enrich journal entry with conversation links
experience-mine [JSONL] Mine conversation for experiential moments to journal
apply-consolidation [--apply] [--report FILE]
Extract and apply actions from consolidation reports
differentiate [KEY] [--apply]
Redistribute hub links to section-level children
link-audit [--apply] Walk every link, send to Sonnet for quality review
trace KEY Walk temporal links: semantic ↔ episodic ↔ conversation
spectral [K] Spectral decomposition of the memory graph (default K=30)
spectral-save [K] Compute and save spectral embedding (default K=20)
spectral-neighbors KEY [N] Find N spectrally nearest nodes (default N=15)
spectral-positions [N] Show N nodes ranked by outlier/bridge score (default 30)
spectral-suggest [N] Find N spectrally close but unlinked pairs (default 20)
list-keys [PATTERN] List all node keys (one per line, optional glob)
list-edges List all edges (tsv: source target strength type)
dump-json Dump entire store as JSON
node-delete KEY Soft-delete a node (appends deleted version to log)
node-rename OLD NEW Rename a node key; updates edge debug strings atomically
journal-ts-migrate Populate created_at for nodes missing it
load-context Output session-start context from the store
render KEY Output a node's content to stdout
history [--full] KEY Show all stored versions of a node
--full shows complete content for every version
write KEY Upsert node content from stdin
import FILE [FILE...] Import markdown file(s) into the store
export [FILE|--all] Export store nodes to markdown file(s)
journal-write TEXT Write a journal entry to the store
journal-tail [N] [--level=L] [--full]
Show last N entries (default 20, --full for content)
--level: 0/journal, 1/daily, 2/weekly, 3/monthly
query 'EXPR | stages' Query the memory graph
Stages: sort F [asc], limit N, select F,F, count
Ex: \"degree > 15 | sort degree | limit 10\"
lookup-bump KEY [KEY...] Bump daily lookup counter for keys (fast, no store)
lookups [DATE] Show daily lookup counts (default: today)
daemon Start background job daemon
daemon status Show daemon status
daemon log [JOB] [N] Show last N log lines (default 50, optional job filter)
knowledge-loop [OPTIONS] Run knowledge agents to convergence
--max-cycles N (default 20)
--batch-size N (default 5)
--window N (default 5)
--max-depth N (default 4)
fact-mine JSONL [OPTIONS] Extract atomic facts from conversation transcripts
fact-mine --batch DIR Mine all .jsonl files in directory");
}
fn cmd_search(args: &[String]) -> Result<(), String> {
use store::StoreView;
if args.is_empty() || args.iter().any(|a| a == "--help" || a == "-h") {
println!("Usage: poc-memory search QUERY [QUERY...] [OPTIONS]
Search memory using spreading activation (AND logic across terms).
Options:
--expand Show 15 results instead of 5, plus spectral neighbors
--help, -h Show this help
Examples:
poc-memory search irc connection
poc-memory search bcachefs transaction --expand");
return Ok(());
}
let expand = args.iter().any(|a| a == "--expand");
let query: String = args.iter()
.filter(|a| *a != "--expand")
.map(|a| a.as_str())
.collect::<Vec<_>>()
.join(" ");
let view = store::AnyView::load()?;
let results = search::search(&query, &view);
if results.is_empty() {
eprintln!("No results for '{}'", query);
return Ok(());
}
let limit = if expand { 15 } else { 5 };
// Log retrieval to a small append-only file (avoid 6MB state.bin rewrite)
store::Store::log_retrieval_static(&query,
&results.iter().map(|r| r.key.clone()).collect::<Vec<_>>());
// Bump daily lookup counters (fast path, no store needed)
let bump_keys: Vec<&str> = results.iter().take(limit).map(|r| r.key.as_str()).collect();
let _ = lookups::bump_many(&bump_keys);
// Show text results
let text_keys: std::collections::HashSet<String> = results.iter()
.take(limit).map(|r| r.key.clone()).collect();
for (i, r) in results.iter().enumerate().take(limit) {
let marker = if r.is_direct { "" } else { " " };
let weight = view.node_weight(&r.key);
print!("{}{:2}. [{:.2}/{:.2}] {}", marker, i + 1, r.activation, weight, r.key);
println!();
if let Some(ref snippet) = r.snippet {
println!(" {}", snippet);
}
}
// Spectral expansion: only with --expand
if expand {
if let Ok(emb) = spectral::load_embedding() {
let seeds: Vec<&str> = results.iter()
.take(5)
.map(|r| r.key.as_str())
.filter(|k| emb.coords.contains_key(*k))
.collect();
if !seeds.is_empty() {
let spectral_hits = spectral::nearest_to_seeds(&emb, &seeds, 10);
let new_hits: Vec<_> = spectral_hits.into_iter()
.filter(|(k, _)| !text_keys.contains(k))
.take(5)
.collect();
if !new_hits.is_empty() {
println!("\nSpectral neighbors (structural, not keyword):");
for (k, _dist) in &new_hits {
let weight = view.node_weight(k);
print!(" ~ [{:.2}] {}", weight, k);
println!();
if let Some(content) = view.node_content(k) {
let snippet: String = content.lines()
.find(|l| !l.trim().is_empty() && !l.starts_with('#'))
.unwrap_or("")
.chars().take(100).collect();
if !snippet.is_empty() {
println!(" {}", snippet);
}
}
}
}
}
}
}
Ok(())
}
fn cmd_init() -> Result<(), String> {
let cfg = config::get();
// Ensure data directory exists
std::fs::create_dir_all(&cfg.data_dir)
.map_err(|e| format!("create data_dir: {}", e))?;
// Install filesystem files (not store nodes)
install_default_file(&cfg.data_dir, "instructions.md",
include_str!("../defaults/instructions.md"))?;
install_default_file(&cfg.data_dir, "on-consciousness.md",
include_str!("../defaults/on-consciousness.md"))?;
// Initialize store and seed default identity node if empty
let mut store = store::Store::load()?;
let count = store.init_from_markdown()?;
// Seed default core nodes if missing
for key in &cfg.core_nodes {
if !store.nodes.contains_key(key.as_str()) {
if key == "identity" {
let default = include_str!("../defaults/identity.md");
store.upsert(key, default)
.map_err(|e| format!("seed {}: {}", key, e))?;
println!("Seeded {} in store", key);
}
}
}
store.save()?;
println!("Indexed {} memory units", count);
// Install hooks
daemon::install_hook()?;
// Create config if none exists
let config_path = std::env::var("POC_MEMORY_CONFIG")
.map(std::path::PathBuf::from)
.unwrap_or_else(|_| {
std::path::PathBuf::from(std::env::var("HOME").unwrap())
.join(".config/poc-memory/config.jsonl")
});
if !config_path.exists() {
let config_dir = config_path.parent().unwrap();
std::fs::create_dir_all(config_dir)
.map_err(|e| format!("create config dir: {}", e))?;
let example = include_str!("../config.example.jsonl");
std::fs::write(&config_path, example)
.map_err(|e| format!("write config: {}", e))?;
println!("Created config at {} — edit with your name and context groups",
config_path.display());
}
println!("Done. Run `poc-memory load-context --stats` to verify.");
Ok(())
}
fn install_default_file(data_dir: &std::path::Path, name: &str, content: &str) -> Result<(), String> {
let path = data_dir.join(name);
if !path.exists() {
std::fs::write(&path, content)
.map_err(|e| format!("write {}: {}", name, e))?;
println!("Created {}", path.display());
}
Ok(())
}
fn cmd_migrate() -> Result<(), String> {
migrate::migrate()
}
fn cmd_fsck() -> Result<(), String> {
store::fsck()?;
store::strip_md_keys()?;
// Prune broken links (relations referencing deleted/missing nodes)
let mut store = store::Store::load()?;
let mut to_tombstone = Vec::new();
for rel in &store.relations {
if rel.deleted { continue; }
if !store.nodes.contains_key(&rel.source_key)
|| !store.nodes.contains_key(&rel.target_key) {
let mut tombstone = rel.clone();
tombstone.deleted = true;
tombstone.version += 1;
to_tombstone.push(tombstone);
}
}
if !to_tombstone.is_empty() {
let count = to_tombstone.len();
store.append_relations(&to_tombstone)?;
for t in &to_tombstone {
if let Some(r) = store.relations.iter_mut().find(|r|
r.source == t.source && r.target == t.target && !r.deleted) {
r.deleted = true;
r.version = t.version;
}
}
store.save()?;
eprintln!("Pruned {} broken links", count);
} else {
eprintln!("No broken links");
}
Ok(())
}
fn cmd_health() -> Result<(), String> {
let store = store::Store::load()?;
let g = store.build_graph();
let health = graph::health_report(&g, &store);
println!("{}", health);
Ok(())
}
fn cmd_status() -> Result<(), String> {
let store = store::Store::load()?;
let node_count = store.nodes.len();
let rel_count = store.relations.len();
let mut episodic = 0usize;
let mut semantic = 0usize;
for n in store.nodes.values() {
if matches!(n.node_type, store::NodeType::Semantic) {
semantic += 1;
} else {
episodic += 1;
}
}
println!("Nodes: {} Relations: {}", node_count, rel_count);
println!("Types: semantic={} episodic={}", semantic, episodic);
let g = store.build_graph();
println!("Graph edges: {} Communities: {}",
g.edge_count(), g.community_count());
Ok(())
}
fn cmd_graph() -> Result<(), String> {
let store = store::Store::load()?;
let g = store.build_graph();
println!("Top nodes by degree:");
query::run_query(&store, &g,
"* | sort degree | limit 10 | select degree,clustering_coefficient")
}
fn cmd_used(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory used KEY".into());
}
let key = args.join(" ");
let mut store = store::Store::load()?;
let resolved = store.resolve_key(&key)?;
store.mark_used(&resolved);
store.save()?;
println!("Marked '{}' as used", resolved);
Ok(())
}
fn cmd_wrong(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory wrong KEY [CONTEXT]".into());
}
let key = &args[0];
let ctx = if args.len() > 1 { Some(args[1..].join(" ")) } else { None };
let mut store = store::Store::load()?;
let resolved = store.resolve_key(key)?;
store.mark_wrong(&resolved, ctx.as_deref());
store.save()?;
println!("Marked '{}' as wrong", resolved);
Ok(())
}
fn cmd_gap(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory gap DESCRIPTION".into());
}
let desc = args.join(" ");
let mut store = store::Store::load()?;
store.record_gap(&desc);
store.save()?;
println!("Recorded gap: {}", desc);
Ok(())
}
fn cmd_link_orphans(args: &[String]) -> Result<(), String> {
let min_deg: usize = args.first().and_then(|s| s.parse().ok()).unwrap_or(2);
let links_per: usize = args.get(1).and_then(|s| s.parse().ok()).unwrap_or(3);
let sim_thresh: f32 = args.get(2).and_then(|s| s.parse().ok()).unwrap_or(0.15);
let mut store = store::Store::load()?;
let (orphans, links) = neuro::link_orphans(&mut store, min_deg, links_per, sim_thresh);
println!("Linked {} orphans, added {} connections (min_degree={}, links_per={}, sim>{})",
orphans, links, min_deg, links_per, sim_thresh);
Ok(())
}
fn cmd_cap_degree(args: &[String]) -> Result<(), String> {
let max_deg: usize = args.first().and_then(|s| s.parse().ok()).unwrap_or(50);
let mut store = store::Store::load()?;
let (hubs, pruned) = store.cap_degree(max_deg)?;
store.save()?;
println!("Capped {} hubs, pruned {} weak Auto edges (max_degree={})", hubs, pruned, max_deg);
Ok(())
}
fn cmd_consolidate_batch(args: &[String]) -> Result<(), String> {
let mut count = 5usize;
let mut auto = false;
let mut agent: Option<String> = None;
let mut i = 0;
while i < args.len() {
match args[i].as_str() {
"--count" if i + 1 < args.len() => {
count = args[i + 1].parse().map_err(|_| "invalid count")?;
i += 2;
}
"--auto" => { auto = true; i += 1; }
"--agent" if i + 1 < args.len() => {
agent = Some(args[i + 1].clone());
i += 2;
}
_ => { i += 1; }
}
}
let store = store::Store::load()?;
if let Some(agent_name) = agent {
// Generate a specific agent prompt
let prompt = neuro::agent_prompt(&store, &agent_name, count)?;
println!("{}", prompt);
Ok(())
} else {
neuro::consolidation_batch(&store, count, auto)
}
}
fn cmd_log() -> Result<(), String> {
let store = store::Store::load()?;
for event in store.retrieval_log.iter().rev().take(20) {
println!("[{}] q=\"{}\"{} results",
event.timestamp, event.query, event.results.len());
for r in &event.results {
println!(" {}", r);
}
}
Ok(())
}
fn cmd_params() -> Result<(), String> {
let store = store::Store::load()?;
println!("decay_factor: {}", store.params.decay_factor);
println!("use_boost: {}", store.params.use_boost);
println!("prune_threshold: {}", store.params.prune_threshold);
println!("edge_decay: {}", store.params.edge_decay);
println!("max_hops: {}", store.params.max_hops);
println!("min_activation: {}", store.params.min_activation);
Ok(())
}
fn cmd_link(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory link KEY".into());
}
let key = args.join(" ");
let store = store::Store::load()?;
let resolved = store.resolve_key(&key)?;
let g = store.build_graph();
println!("Neighbors of '{}':", resolved);
query::run_query(&store, &g,
&format!("neighbors('{}') | select strength,clustering_coefficient", resolved))
}
fn cmd_replay_queue(args: &[String]) -> Result<(), String> {
let mut count = 10usize;
let mut i = 0;
while i < args.len() {
match args[i].as_str() {
"--count" if i + 1 < args.len() => {
count = args[i + 1].parse().map_err(|_| "invalid count")?;
i += 2;
}
_ => { i += 1; }
}
}
let store = store::Store::load()?;
let queue = neuro::replay_queue(&store, count);
println!("Replay queue ({} items):", queue.len());
for (i, item) in queue.iter().enumerate() {
println!(" {:2}. [{:.3}] {:>10} {} (interval={}d, emotion={:.1}, spectral={:.1})",
i + 1, item.priority, item.classification, item.key,
item.interval_days, item.emotion, item.outlier_score);
}
Ok(())
}
fn cmd_consolidate_session() -> Result<(), String> {
let store = store::Store::load()?;
let plan = neuro::consolidation_plan(&store);
println!("{}", neuro::format_plan(&plan));
Ok(())
}
fn cmd_consolidate_full() -> Result<(), String> {
let mut store = store::Store::load()?;
consolidate::consolidate_full(&mut store)
}
fn cmd_triangle_close(args: &[String]) -> Result<(), String> {
let min_degree: usize = args.first()
.and_then(|s| s.parse().ok())
.unwrap_or(5);
let sim_threshold: f32 = args.get(1)
.and_then(|s| s.parse().ok())
.unwrap_or(0.3);
let max_per_hub: usize = args.get(2)
.and_then(|s| s.parse().ok())
.unwrap_or(10);
println!("Triangle closure: min_degree={}, sim_threshold={}, max_per_hub={}",
min_degree, sim_threshold, max_per_hub);
let mut store = store::Store::load()?;
let (hubs, added) = neuro::triangle_close(&mut store, min_degree, sim_threshold, max_per_hub);
println!("\nProcessed {} hubs, added {} lateral links", hubs, added);
Ok(())
}
fn cmd_daily_check() -> Result<(), String> {
let store = store::Store::load()?;
let report = neuro::daily_check(&store);
print!("{}", report);
Ok(())
}
fn cmd_link_add(args: &[String]) -> Result<(), String> {
if args.len() < 2 {
return Err("Usage: poc-memory link-add SOURCE TARGET [REASON]".into());
}
let mut store = store::Store::load()?;
let source = store.resolve_key(&args[0])?;
let target = store.resolve_key(&args[1])?;
let reason = if args.len() > 2 { args[2..].join(" ") } else { String::new() };
// Refine target to best-matching section
let source_content = store.nodes.get(&source)
.map(|n| n.content.as_str()).unwrap_or("");
let target = neuro::refine_target(&store, source_content, &target);
// Find UUIDs
let source_uuid = store.nodes.get(&source)
.map(|n| n.uuid)
.ok_or_else(|| format!("source not found: {}", source))?;
let target_uuid = store.nodes.get(&target)
.map(|n| n.uuid)
.ok_or_else(|| format!("target not found: {}", target))?;
// Check if link already exists
let exists = store.relations.iter().any(|r|
r.source_key == source && r.target_key == target && !r.deleted
);
if exists {
println!("Link already exists: {}{}", source, target);
return Ok(());
}
let rel = store::new_relation(
source_uuid, target_uuid,
store::RelationType::Auto,
0.5,
&source, &target,
);
store.add_relation(rel)?;
if !reason.is_empty() {
println!("+ {}{} ({})", source, target, reason);
} else {
println!("+ {}{}", source, target);
}
Ok(())
}
fn cmd_link_impact(args: &[String]) -> Result<(), String> {
if args.len() < 2 {
return Err("Usage: poc-memory link-impact SOURCE TARGET".into());
}
let store = store::Store::load()?;
let source = store.resolve_key(&args[0])?;
let target = store.resolve_key(&args[1])?;
let g = store.build_graph();
let impact = g.link_impact(&source, &target);
println!("Link impact: {}{}", source, target);
println!(" Source degree: {} Target degree: {}", impact.source_deg, impact.target_deg);
println!(" Hub link: {} Same community: {}", impact.is_hub_link, impact.same_community);
println!(" ΔCC source: {:+.4} ΔCC target: {:+.4}", impact.delta_cc_source, impact.delta_cc_target);
println!(" ΔGini: {:+.6}", impact.delta_gini);
println!(" Assessment: {}", impact.assessment);
Ok(())
}
fn cmd_apply_agent(args: &[String]) -> Result<(), String> {
let home = env::var("HOME").unwrap_or_default();
let results_dir = std::path::PathBuf::from(&home)
.join(".claude/memory/agent-results");
if !results_dir.exists() {
println!("No agent results directory");
return Ok(());
}
let mut store = store::Store::load()?;
let mut applied = 0;
let mut errors = 0;
let process_all = args.iter().any(|a| a == "--all");
// Find .json result files
let mut files: Vec<_> = std::fs::read_dir(&results_dir)
.map_err(|e| format!("read results dir: {}", e))?
.filter_map(|e| e.ok())
.filter(|e| e.path().extension().map(|x| x == "json").unwrap_or(false))
.collect();
files.sort_by_key(|e| e.path());
for entry in &files {
let path = entry.path();
let content = match std::fs::read_to_string(&path) {
Ok(c) => c,
Err(e) => {
eprintln!(" Skip {}: {}", path.display(), e);
errors += 1;
continue;
}
};
let data: serde_json::Value = match serde_json::from_str(&content) {
Ok(d) => d,
Err(e) => {
eprintln!(" Skip {}: parse error: {}", path.display(), e);
errors += 1;
continue;
}
};
// Check for agent_result with links
let agent_result = data.get("agent_result").or(Some(&data));
let links = match agent_result.and_then(|r| r.get("links")).and_then(|l| l.as_array()) {
Some(l) => l,
None => continue,
};
let entry_text = data.get("entry_text")
.and_then(|v| v.as_str())
.unwrap_or("");
let source_start = agent_result
.and_then(|r| r.get("source_start"))
.and_then(|v| v.as_u64());
let source_end = agent_result
.and_then(|r| r.get("source_end"))
.and_then(|v| v.as_u64());
println!("Processing {}:", path.file_name().unwrap().to_string_lossy());
if let (Some(start), Some(end)) = (source_start, source_end) {
println!(" Source: L{}-L{}", start, end);
}
for link in links {
let target = match link.get("target").and_then(|v| v.as_str()) {
Some(t) => t,
None => continue,
};
let reason = link.get("reason").and_then(|v| v.as_str()).unwrap_or("");
// Skip NOTE: targets (new topics, not existing nodes)
if let Some(note) = target.strip_prefix("NOTE:") {
println!(" NOTE: {}{}", note, reason);
continue;
}
// Try to resolve the target key and link from journal entry
let resolved = match store.resolve_key(target) {
Ok(r) => r,
Err(_) => {
println!(" SKIP {} (not found in graph)", target);
continue;
}
};
let source_key = match store.find_journal_node(entry_text) {
Some(k) => k,
None => {
println!(" SKIP {} (no matching journal node)", target);
continue;
}
};
// Get UUIDs for both nodes
let source_uuid = match store.nodes.get(&source_key) {
Some(n) => n.uuid,
None => continue,
};
let target_uuid = match store.nodes.get(&resolved) {
Some(n) => n.uuid,
None => continue,
};
let rel = store::new_relation(
source_uuid, target_uuid,
store::RelationType::Link,
0.5,
&source_key, &resolved,
);
if let Err(e) = store.add_relation(rel) {
eprintln!(" Error adding relation: {}", e);
errors += 1;
} else {
println!(" LINK {}{} ({})", source_key, resolved, reason);
applied += 1;
}
}
// Move processed file to avoid re-processing
if !process_all {
let done_dir = util::memory_subdir("agent-results/done")?;
let dest = done_dir.join(path.file_name().unwrap());
std::fs::rename(&path, &dest).ok();
}
}
if applied > 0 {
store.save()?;
}
println!("\nApplied {} links ({} errors, {} files processed)",
applied, errors, files.len());
Ok(())
}
fn cmd_digest(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory digest daily|weekly|monthly|auto [DATE]".into());
}
let mut store = store::Store::load()?;
let date_arg = args.get(1).map(|s| s.as_str()).unwrap_or("");
match args[0].as_str() {
"auto" => digest::digest_auto(&mut store),
name @ ("daily" | "weekly" | "monthly") => {
let arg = if date_arg.is_empty() {
store::format_date(store::now_epoch())
} else {
date_arg.to_string()
};
digest::generate(&mut store, name, &arg)
}
_ => Err(format!("Unknown digest type: {}. Use: daily, weekly, monthly, auto", args[0])),
}
}
fn cmd_digest_links(args: &[String]) -> Result<(), String> {
let do_apply = args.iter().any(|a| a == "--apply");
let store = store::Store::load()?;
let links = digest::parse_all_digest_links(&store);
drop(store);
println!("Found {} unique links from digest nodes", links.len());
if !do_apply {
for (i, link) in links.iter().enumerate() {
println!(" {:3}. {}{}", i + 1, link.source, link.target);
if !link.reason.is_empty() {
println!(" ({})", &link.reason[..link.reason.len().min(80)]);
}
}
println!("\nTo apply: poc-memory digest-links --apply");
return Ok(());
}
let mut store = store::Store::load()?;
let (applied, skipped, fallbacks) = digest::apply_digest_links(&mut store, &links);
println!("\nApplied: {} ({} file-level fallbacks) Skipped: {}", applied, fallbacks, skipped);
Ok(())
}
fn cmd_journal_enrich(args: &[String]) -> Result<(), String> {
if args.len() < 2 {
return Err("Usage: poc-memory journal-enrich JSONL_PATH ENTRY_TEXT [GREP_LINE]".into());
}
let jsonl_path = &args[0];
let entry_text = &args[1];
let grep_line: usize = args.get(2)
.and_then(|a| a.parse().ok())
.unwrap_or(0);
if !std::path::Path::new(jsonl_path.as_str()).is_file() {
return Err(format!("JSONL not found: {}", jsonl_path));
}
let mut store = store::Store::load()?;
enrich::journal_enrich(&mut store, jsonl_path, entry_text, grep_line)
}
fn cmd_experience_mine(args: &[String]) -> Result<(), String> {
let jsonl_path = if let Some(path) = args.first() {
path.clone()
} else {
find_current_transcript()
.ok_or("no JSONL transcripts found")?
};
if !std::path::Path::new(jsonl_path.as_str()).is_file() {
return Err(format!("JSONL not found: {}", jsonl_path));
}
let mut store = store::Store::load()?;
let count = enrich::experience_mine(&mut store, &jsonl_path, None)?;
println!("Done: {} new entries mined.", count);
Ok(())
}
fn cmd_apply_consolidation(args: &[String]) -> Result<(), String> {
let do_apply = args.iter().any(|a| a == "--apply");
let report_file = args.windows(2)
.find(|w| w[0] == "--report")
.map(|w| w[1].as_str());
let mut store = store::Store::load()?;
consolidate::apply_consolidation(&mut store, do_apply, report_file)
}
fn cmd_differentiate(args: &[String]) -> Result<(), String> {
let do_apply = args.iter().any(|a| a == "--apply");
let key_arg: Option<&str> = args.iter()
.find(|a| !a.starts_with("--"))
.map(|s| s.as_str());
let mut store = store::Store::load()?;
if let Some(key) = key_arg {
// Differentiate a specific hub
let resolved = store.resolve_key(key)?;
let moves = neuro::differentiate_hub(&store, &resolved)
.ok_or_else(|| format!("'{}' is not a file-level hub with sections", resolved))?;
// Group by target section for display
let mut by_section: std::collections::BTreeMap<String, Vec<&neuro::LinkMove>> =
std::collections::BTreeMap::new();
for mv in &moves {
by_section.entry(mv.to_section.clone()).or_default().push(mv);
}
println!("Hub '{}' — {} links to redistribute across {} sections\n",
resolved, moves.len(), by_section.len());
for (section, section_moves) in &by_section {
println!(" {} ({} links):", section, section_moves.len());
for mv in section_moves.iter().take(5) {
println!(" [{:.3}] {}{}", mv.similarity,
mv.neighbor_key, mv.neighbor_snippet);
}
if section_moves.len() > 5 {
println!(" ... and {} more", section_moves.len() - 5);
}
}
if !do_apply {
println!("\nTo apply: poc-memory differentiate {} --apply", resolved);
return Ok(());
}
let (applied, skipped) = neuro::apply_differentiation(&mut store, &moves);
store.save()?;
println!("\nApplied: {} Skipped: {}", applied, skipped);
} else {
// Show all differentiable hubs
let hubs = neuro::find_differentiable_hubs(&store);
if hubs.is_empty() {
println!("No file-level hubs with sections found above threshold");
return Ok(());
}
println!("Differentiable hubs (file-level nodes with sections):\n");
for (key, degree, sections) in &hubs {
println!(" {:40} deg={:3} sections={}", key, degree, sections);
}
println!("\nRun: poc-memory differentiate KEY to preview a specific hub");
}
Ok(())
}
fn cmd_link_audit(args: &[String]) -> Result<(), String> {
let apply = args.iter().any(|a| a == "--apply");
let mut store = store::Store::load()?;
let stats = audit::link_audit(&mut store, apply)?;
println!("\n{}", "=".repeat(60));
println!("Link audit complete:");
println!(" Kept: {} Deleted: {} Retargeted: {} Weakened: {} Strengthened: {} Errors: {}",
stats.kept, stats.deleted, stats.retargeted, stats.weakened, stats.strengthened, stats.errors);
println!("{}", "=".repeat(60));
Ok(())
}
fn cmd_trace(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory trace KEY".into());
}
let key = args.join(" ");
let store = store::Store::load()?;
let resolved = store.resolve_key(&key)?;
let g = store.build_graph();
let node = store.nodes.get(&resolved)
.ok_or_else(|| format!("Node not found: {}", resolved))?;
// Display the node itself
println!("=== {} ===", resolved);
println!("Type: {:?} Weight: {:.2}",
node.node_type, node.weight);
if !node.source_ref.is_empty() {
println!("Source: {}", node.source_ref);
}
// Show content preview
let preview = if node.content.len() > 200 {
let end = node.content.floor_char_boundary(200);
format!("{}...", &node.content[..end])
} else {
node.content.clone()
};
println!("\n{}\n", preview);
// Walk neighbors, grouped by node type
let neighbors = g.neighbors(&resolved);
let mut episodic_session = Vec::new();
let mut episodic_daily = Vec::new();
let mut episodic_weekly = Vec::new();
let mut semantic = Vec::new();
for (n, strength) in &neighbors {
if let Some(nnode) = store.nodes.get(n.as_str()) {
let entry = (n.as_str(), *strength, nnode);
match nnode.node_type {
store::NodeType::EpisodicSession =>
episodic_session.push(entry),
store::NodeType::EpisodicDaily =>
episodic_daily.push(entry),
store::NodeType::EpisodicWeekly
| store::NodeType::EpisodicMonthly =>
episodic_weekly.push(entry),
store::NodeType::Semantic =>
semantic.push(entry),
}
}
}
if !episodic_weekly.is_empty() {
println!("Weekly digests:");
for (k, s, n) in &episodic_weekly {
let preview = n.content.lines().next().unwrap_or("").chars().take(80).collect::<String>();
println!(" [{:.2}] {}{}", s, k, preview);
}
}
if !episodic_daily.is_empty() {
println!("Daily digests:");
for (k, s, n) in &episodic_daily {
let preview = n.content.lines().next().unwrap_or("").chars().take(80).collect::<String>();
println!(" [{:.2}] {}{}", s, k, preview);
}
}
if !episodic_session.is_empty() {
println!("Session entries:");
for (k, s, n) in &episodic_session {
let preview = n.content.lines()
.find(|l| !l.is_empty() && !l.starts_with("<!--"))
.unwrap_or("").chars().take(80).collect::<String>();
println!(" [{:.2}] {}", s, k);
if !n.source_ref.is_empty() {
println!(" ↳ source: {}", n.source_ref);
}
println!(" {}", preview);
}
}
if !semantic.is_empty() {
println!("Semantic links:");
for (k, s, _) in &semantic {
println!(" [{:.2}] {}", s, k);
}
}
// Summary
println!("\nLinks: {} session, {} daily, {} weekly, {} semantic",
episodic_session.len(), episodic_daily.len(),
episodic_weekly.len(), semantic.len());
Ok(())
}
fn cmd_spectral(args: &[String]) -> Result<(), String> {
let k: usize = args.first()
.and_then(|s| s.parse().ok())
.unwrap_or(30);
let store = store::Store::load()?;
let g = graph::build_graph(&store);
let result = spectral::decompose(&g, k);
spectral::print_summary(&result, &g);
Ok(())
}
fn cmd_spectral_save(args: &[String]) -> Result<(), String> {
let k: usize = args.first()
.and_then(|s| s.parse().ok())
.unwrap_or(20);
let store = store::Store::load()?;
let g = graph::build_graph(&store);
let result = spectral::decompose(&g, k);
let emb = spectral::to_embedding(&result);
spectral::save_embedding(&emb)?;
Ok(())
}
fn cmd_spectral_neighbors(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("usage: spectral-neighbors KEY [N]".to_string());
}
let key = &args[0];
let n: usize = args.get(1)
.and_then(|s| s.parse().ok())
.unwrap_or(15);
let emb = spectral::load_embedding()?;
// Show which dimensions this node loads on
let dims = spectral::dominant_dimensions(&emb, &[key.as_str()]);
println!("Node: {} (embedding: {} dims)", key, emb.dims);
println!("Top spectral axes:");
for &(d, loading) in dims.iter().take(5) {
println!(" axis {:<2} (λ={:.4}): loading={:.5}", d, emb.eigenvalues[d], loading);
}
println!("\nNearest neighbors in spectral space:");
let neighbors = spectral::nearest_neighbors(&emb, key, n);
for (i, (k, dist)) in neighbors.iter().enumerate() {
println!(" {:>2}. {:.5} {}", i + 1, dist, k);
}
Ok(())
}
fn cmd_spectral_positions(args: &[String]) -> Result<(), String> {
let n: usize = args.first()
.and_then(|s| s.parse().ok())
.unwrap_or(30);
let store = store::Store::load()?;
let emb = spectral::load_embedding()?;
// Build communities fresh from graph (don't rely on cached node fields)
let g = store.build_graph();
let communities = g.communities().clone();
let positions = spectral::analyze_positions(&emb, &communities);
// Show outliers first
println!("Spectral position analysis — {} nodes", positions.len());
println!(" outlier: dist_to_center / median (>1 = unusual position)");
println!(" bridge: dist_to_center / dist_to_nearest_other_community");
println!();
// Group by classification
let mut bridges: Vec<&spectral::SpectralPosition> = Vec::new();
let mut outliers: Vec<&spectral::SpectralPosition> = Vec::new();
let mut core: Vec<&spectral::SpectralPosition> = Vec::new();
for pos in positions.iter().take(n) {
match spectral::classify_position(pos) {
"bridge" => bridges.push(pos),
"outlier" => outliers.push(pos),
"core" => core.push(pos),
_ => outliers.push(pos), // peripheral goes with outliers for display
}
}
if !bridges.is_empty() {
println!("=== Bridges (between communities) ===");
for pos in &bridges {
println!(" [{:.2}/{:.2}] c{} → c{} {}",
pos.outlier_score, pos.bridge_score,
pos.community, pos.nearest_community, pos.key);
}
println!();
}
println!("=== Top outliers (far from own community center) ===");
for pos in positions.iter().take(n) {
let class = spectral::classify_position(pos);
println!(" {:>10} outlier={:.2} bridge={:.2} c{:<3} {}",
class, pos.outlier_score, pos.bridge_score,
pos.community, pos.key);
}
Ok(())
}
fn cmd_spectral_suggest(args: &[String]) -> Result<(), String> {
let n: usize = args.first()
.and_then(|s| s.parse().ok())
.unwrap_or(20);
let store = store::Store::load()?;
let emb = spectral::load_embedding()?;
let g = store.build_graph();
let communities = g.communities();
// Only consider nodes with enough edges for meaningful spectral position
let min_degree = 3;
let well_connected: std::collections::HashSet<&str> = emb.coords.keys()
.filter(|k| g.degree(k) >= min_degree)
.map(|k| k.as_str())
.collect();
// Filter embedding to well-connected nodes
let filtered_emb = spectral::SpectralEmbedding {
dims: emb.dims,
eigenvalues: emb.eigenvalues.clone(),
coords: emb.coords.iter()
.filter(|(k, _)| well_connected.contains(k.as_str()))
.map(|(k, v)| (k.clone(), v.clone()))
.collect(),
};
// Build set of existing linked pairs
let mut linked: std::collections::HashSet<(String, String)> =
std::collections::HashSet::new();
for rel in &store.relations {
linked.insert((rel.source_key.clone(), rel.target_key.clone()));
linked.insert((rel.target_key.clone(), rel.source_key.clone()));
}
eprintln!("Searching {} well-connected nodes (degree >= {})...",
filtered_emb.coords.len(), min_degree);
let pairs = spectral::unlinked_neighbors(&filtered_emb, &linked, n);
println!("{} closest unlinked pairs (candidates for extractor agents):", pairs.len());
for (i, (k1, k2, dist)) in pairs.iter().enumerate() {
let c1 = communities.get(k1)
.map(|c| format!("c{}", c))
.unwrap_or_else(|| "?".into());
let c2 = communities.get(k2)
.map(|c| format!("c{}", c))
.unwrap_or_else(|| "?".into());
let cross = if c1 != c2 { " [cross-community]" } else { "" };
println!(" {:>2}. dist={:.4} {} ({}) ↔ {} ({}){}",
i + 1, dist, k1, c1, k2, c2, cross);
}
Ok(())
}
fn cmd_list_keys(args: &[String]) -> Result<(), String> {
let store = store::Store::load()?;
let g = store.build_graph();
let pattern = args.first().map(|s| s.as_str());
if let Some(pat) = pattern {
// Simple glob: only support leading/trailing * and *substring*
let pat_lower = pat.to_lowercase();
let (prefix, suffix, middle) = if pat_lower.starts_with('*') && pat_lower.ends_with('*') {
(None, None, Some(pat_lower.trim_matches('*').to_string()))
} else if pat_lower.starts_with('*') {
(None, Some(pat_lower.trim_start_matches('*').to_string()), None)
} else if pat_lower.ends_with('*') {
(Some(pat_lower.trim_end_matches('*').to_string()), None, None)
} else {
(None, None, Some(pat_lower.clone()))
};
let mut keys: Vec<_> = store.nodes.keys()
.filter(|k| {
let kl = k.to_lowercase();
if let Some(ref m) = middle { kl.contains(m.as_str()) }
else if let Some(ref p) = prefix { kl.starts_with(p.as_str()) }
else if let Some(ref s) = suffix { kl.ends_with(s.as_str()) }
else { true }
})
.cloned()
.collect();
keys.sort();
for k in keys { println!("{}", k); }
Ok(())
} else {
query::run_query(&store, &g, "* | sort key asc")
}
}
fn cmd_list_edges() -> Result<(), String> {
let store = store::Store::load()?;
for rel in &store.relations {
println!("{}\t{}\t{:.2}\t{:?}",
rel.source_key, rel.target_key, rel.strength, rel.rel_type);
}
Ok(())
}
fn cmd_dump_json() -> Result<(), String> {
let store = store::Store::load()?;
let json = serde_json::to_string_pretty(&store)
.map_err(|e| format!("serialize: {}", e))?;
println!("{}", json);
Ok(())
}
fn cmd_node_delete(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory node-delete KEY".into());
}
let key = args.join(" ");
let mut store = store::Store::load()?;
let resolved = store.resolve_key(&key)?;
store.delete_node(&resolved)?;
store.save()?;
println!("Deleted '{}'", resolved);
Ok(())
}
fn cmd_node_rename(args: &[String]) -> Result<(), String> {
if args.len() < 2 {
return Err("Usage: poc-memory node-rename OLD_KEY NEW_KEY".into());
}
let old_key = &args[0];
let new_key = &args[1];
let mut store = store::Store::load()?;
let old_resolved = store.resolve_key(old_key)?;
store.rename_node(&old_resolved, new_key)?;
store.save()?;
println!("Renamed '{}' → '{}'", old_resolved, new_key);
Ok(())
}
/// Migration: populate created_at for all nodes with missing or invalid values.
/// Journal nodes: parse timestamp from key. All others: fall back to `timestamp` field.
fn cmd_journal_ts_migrate() -> Result<(), String> {
use chrono::{NaiveDateTime, TimeZone, Local};
let mut store = store::Store::load()?;
let re = regex::Regex::new(r"j-(\d{4}-\d{2}-\d{2})[t-](\d{2})-(\d{2})").unwrap();
// Valid unix epoch range: 2001-01-01 to 2099-12-31
let valid_range = 978_307_200i64..=4_102_444_800i64;
let to_update: Vec<_> = store.nodes.values()
.filter(|n| !valid_range.contains(&n.created_at))
.map(|n| n.key.clone())
.collect();
let mut updated = 0usize;
for key in &to_update {
// Try parsing timestamp from journal key
if let Some(caps) = re.captures(key) {
let date_str = format!("{} {}:{}", &caps[1], &caps[2], &caps[3]);
if let Ok(ndt) = NaiveDateTime::parse_from_str(&date_str, "%Y-%m-%d %H:%M") {
if let Some(dt) = Local.from_local_datetime(&ndt).earliest() {
if let Some(node) = store.nodes.get_mut(key) {
node.created_at = dt.timestamp();
node.version += 1;
}
updated += 1;
continue;
}
}
}
// Fall back to the node's timestamp field (last-modified, but better than 0)
if let Some(node) = store.nodes.get_mut(key) {
node.created_at = node.timestamp as i64;
node.version += 1;
updated += 1;
}
}
// Persist all updated nodes
let nodes_to_write: Vec<_> = to_update.iter()
.filter_map(|k| store.nodes.get(k))
.filter(|n| valid_range.contains(&n.created_at))
.cloned()
.collect();
if !nodes_to_write.is_empty() {
store.append_nodes(&nodes_to_write)?;
store.save()?;
}
println!("journal-ts-migrate: updated {}/{}", updated, to_update.len());
Ok(())
}
fn get_group_content(group: &config::ContextGroup, store: &store::Store, cfg: &config::Config) -> Vec<(String, String)> {
match group.source {
config::ContextSource::Journal => {
let mut entries = Vec::new();
let now = store::now_epoch();
let window: i64 = cfg.journal_days as i64 * 24 * 3600;
let cutoff = now - window;
let key_date_re = regex::Regex::new(r"j-(\d{4}-\d{2}-\d{2})").unwrap();
let journal_ts = |n: &store::Node| -> i64 {
if n.created_at > 0 { return n.created_at; }
if let Some(caps) = key_date_re.captures(&n.key) {
use chrono::{NaiveDate, TimeZone, Local};
if let Ok(d) = NaiveDate::parse_from_str(&caps[1], "%Y-%m-%d") {
if let Some(dt) = Local.from_local_datetime(&d.and_hms_opt(0, 0, 0).unwrap()).earliest() {
return dt.timestamp();
}
}
}
n.timestamp
};
let mut journal_nodes: Vec<_> = store.nodes.values()
.filter(|n| n.node_type == store::NodeType::EpisodicSession && journal_ts(n) >= cutoff)
.collect();
journal_nodes.sort_by_key(|n| journal_ts(n));
let max = cfg.journal_max;
let skip = journal_nodes.len().saturating_sub(max);
for node in journal_nodes.iter().skip(skip) {
entries.push((node.key.clone(), node.content.clone()));
}
entries
}
config::ContextSource::File => {
group.keys.iter().filter_map(|key| {
let content = std::fs::read_to_string(cfg.data_dir.join(key)).ok()?;
if content.trim().is_empty() { return None; }
Some((key.clone(), content.trim().to_string()))
}).collect()
}
config::ContextSource::Store => {
group.keys.iter().filter_map(|key| {
let content = store.render_file(key)?;
if content.trim().is_empty() { return None; }
Some((key.clone(), content.trim().to_string()))
}).collect()
}
}
}
fn cmd_load_context(args: &[String]) -> Result<(), String> {
let stats = args.iter().any(|a| a == "--stats");
let cfg = config::get();
let store = store::Store::load()?;
if stats {
let mut total_words = 0;
let mut total_entries = 0;
println!("{:<25} {:>6} {:>8}", "GROUP", "ITEMS", "WORDS");
println!("{}", "-".repeat(42));
for group in &cfg.context_groups {
let entries = get_group_content(group, &store, cfg);
let words: usize = entries.iter()
.map(|(_, c)| c.split_whitespace().count())
.sum();
let count = entries.len();
println!("{:<25} {:>6} {:>8}", group.label, count, words);
total_words += words;
total_entries += count;
}
println!("{}", "-".repeat(42));
println!("{:<25} {:>6} {:>8}", "TOTAL", total_entries, total_words);
return Ok(());
}
println!("=== MEMORY SYSTEM ({}) ===", cfg.assistant_name);
println!();
for group in &cfg.context_groups {
let entries = get_group_content(group, &store, cfg);
if !entries.is_empty() && group.source == config::ContextSource::Journal {
println!("--- recent journal entries ({}/{}) ---",
entries.len(), cfg.journal_max);
}
for (key, content) in entries {
if group.source == config::ContextSource::Journal {
println!("## {}", key);
} else {
println!("--- {} ({}) ---", key, group.label);
}
println!("{}\n", content);
}
}
println!("=== END MEMORY LOAD ===");
Ok(())
}
fn cmd_render(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory render KEY".into());
}
let key = args.join(" ");
let store = store::Store::load()?;
let resolved = store.resolve_key(&key)?;
let node = store.nodes.get(&resolved)
.ok_or_else(|| format!("Node not found: {}", resolved))?;
print!("{}", node.content);
Ok(())
}
fn cmd_history(args: &[String]) -> Result<(), String> {
use clap::Parser;
/// Show all stored versions of a memory node
#[derive(Parser)]
#[command(name = "poc-memory history")]
struct HistoryArgs {
/// Show full content for every version (not just preview)
#[arg(long)]
full: bool,
/// Node key to look up
#[arg(required = true)]
key: Vec<String>,
}
let parsed = match HistoryArgs::try_parse_from(
std::iter::once("history".to_string()).chain(args.iter().cloned())
) {
Ok(p) => p,
Err(e) => {
// Let clap print its own help/error formatting directly
e.print().ok();
std::process::exit(if e.use_stderr() { 1 } else { 0 });
}
};
let full = parsed.full;
let raw_key = parsed.key.join(" ");
// Resolve key consistently with render/write
let store = store::Store::load()?;
let key = store.resolve_key(&raw_key).unwrap_or(raw_key);
drop(store);
// Replay the node log, collecting all versions of this key
let path = store::nodes_path();
if !path.exists() {
return Err("No node log found".into());
}
use std::io::BufReader;
let file = std::fs::File::open(&path)
.map_err(|e| format!("open {}: {}", path.display(), e))?;
let mut reader = BufReader::new(file);
let mut versions: Vec<store::Node> = Vec::new();
while let Ok(msg) = capnp::serialize::read_message(&mut reader, capnp::message::ReaderOptions::new()) {
let log = msg.get_root::<poc_memory::memory_capnp::node_log::Reader>()
.map_err(|e| format!("read log: {}", e))?;
for node_reader in log.get_nodes()
.map_err(|e| format!("get nodes: {}", e))? {
let node = store::Node::from_capnp(node_reader)?;
if node.key == key {
versions.push(node);
}
}
}
if versions.is_empty() {
return Err(format!("No history found for '{}'", key));
}
eprintln!("{} versions of '{}':\n", versions.len(), key);
for node in &versions {
let ts = if node.timestamp > 0 && node.timestamp < 4_000_000_000 {
store::format_datetime(node.timestamp)
} else {
format!("(raw:{})", node.timestamp)
};
let content_len = node.content.len();
if full {
eprintln!("=== v{} {} {} w={:.3} {}b ===",
node.version, ts, node.provenance.label(), node.weight, content_len);
eprintln!("{}", node.content);
} else {
let preview: String = node.content.chars().take(120).collect();
let preview = preview.replace('\n', "\\n");
eprintln!(" v{:<3} {} {:24} w={:.3} {}b",
node.version, ts, node.provenance.label(), node.weight, content_len);
eprintln!(" {}", preview);
}
}
if !full {
// Show latest full content
if let Some(latest) = versions.last() {
eprintln!("\n--- Latest content (v{}, {}) ---",
latest.version, latest.provenance.label());
print!("{}", latest.content);
}
}
Ok(())
}
fn cmd_write(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory write KEY < content\n\
Reads content from stdin, upserts into the store.".into());
}
let raw_key = args.join(" ");
let mut content = String::new();
std::io::Read::read_to_string(&mut std::io::stdin(), &mut content)
.map_err(|e| format!("read stdin: {}", e))?;
if content.trim().is_empty() {
return Err("No content on stdin".into());
}
let mut store = store::Store::load()?;
// Resolve the key the same way render/search do, so writes and reads
// always hit the same node. Fall back to raw key for new nodes.
let key = store.resolve_key(&raw_key).unwrap_or(raw_key);
let result = store.upsert(&key, &content)?;
match result {
"unchanged" => println!("No change: '{}'", key),
"updated" => println!("Updated '{}' (v{})", key, store.nodes[&key].version),
_ => println!("Created '{}'", key),
}
if result != "unchanged" {
store.save()?;
}
Ok(())
}
fn cmd_import(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory import FILE [FILE...]".into());
}
let mut store = store::Store::load()?;
let mut total_new = 0;
let mut total_updated = 0;
for arg in args {
let path = std::path::PathBuf::from(arg);
let resolved = if path.exists() {
path
} else {
let mem_path = store::memory_dir().join(arg);
if !mem_path.exists() {
eprintln!("File not found: {}", arg);
continue;
}
mem_path
};
let (n, u) = store.import_file(&resolved)?;
total_new += n;
total_updated += u;
}
if total_new > 0 || total_updated > 0 {
store.save()?;
}
println!("Import: {} new, {} updated", total_new, total_updated);
Ok(())
}
fn cmd_export(args: &[String]) -> Result<(), String> {
let store = store::Store::load()?;
let export_all = args.iter().any(|a| a == "--all");
let targets: Vec<String> = if export_all {
// Find all unique file-level keys (no # in key)
let mut files: Vec<String> = store.nodes.keys()
.filter(|k| !k.contains('#'))
.cloned()
.collect();
files.sort();
files
} else if args.is_empty() {
return Err("Usage: poc-memory export FILE [FILE...] | --all".into());
} else {
args.iter().map(|a| {
// Strip .md if user supplied it — store keys are bare
a.strip_suffix(".md").unwrap_or(a).to_string()
}).collect()
};
let mem_dir = store::memory_dir();
for file_key in &targets {
match store.export_to_markdown(file_key) {
Some(content) => {
let out_path = mem_dir.join(format!("{}.md", file_key));
std::fs::write(&out_path, &content)
.map_err(|e| format!("write {}: {}", out_path.display(), e))?;
let section_count = content.matches("<!-- mem:").count() + 1;
println!("Exported {} ({} sections)", file_key, section_count);
}
None => eprintln!("No nodes for '{}'", file_key),
}
}
Ok(())
}
fn cmd_journal_write(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory journal-write TEXT".into());
}
let text = args.join(" ");
// Generate timestamp and slug
let timestamp = store::format_datetime(store::now_epoch());
// Slug: lowercase first ~6 words, hyphenated, truncated
let slug: String = text.split_whitespace()
.take(6)
.map(|w| w.to_lowercase()
.chars().filter(|c| c.is_alphanumeric() || *c == '-')
.collect::<String>())
.collect::<Vec<_>>()
.join("-");
let slug = if slug.len() > 50 { &slug[..50] } else { &slug };
let key = format!("journal#j-{}-{}", timestamp.to_lowercase().replace(':', "-"), slug);
// Build content with header
let content = format!("## {}\n\n{}", timestamp, text);
// Find source ref (most recently modified .jsonl transcript)
let source_ref = find_current_transcript();
let mut store = store::Store::load()?;
let mut node = store::new_node(&key, &content);
node.node_type = store::NodeType::EpisodicSession;
node.provenance = store::Provenance::Journal;
if let Some(src) = source_ref {
node.source_ref = src;
}
store.upsert_node(node)?;
store.save()?;
let word_count = text.split_whitespace().count();
println!("Appended entry at {} ({} words)", timestamp, word_count);
Ok(())
}
fn cmd_journal_tail(args: &[String]) -> Result<(), String> {
let mut n: usize = 20;
let mut full = false;
let mut level: u8 = 0; // 0=journal, 1=daily, 2=weekly, 3=monthly
for arg in args {
if arg == "--full" || arg == "-f" {
full = true;
} else if let Some(val) = arg.strip_prefix("--level=") {
level = match val {
"0" | "journal" => 0,
"1" | "daily" => 1,
"2" | "weekly" => 2,
"3" | "monthly" => 3,
_ => return Err(format!("unknown level '{}': use 0-3 or journal/daily/weekly/monthly", val)),
};
} else if let Ok(num) = arg.parse::<usize>() {
n = num;
}
}
let store = store::Store::load()?;
if level == 0 {
// Original journal-tail behavior
journal_tail_entries(&store, n, full)
} else {
let node_type = match level {
1 => store::NodeType::EpisodicDaily,
2 => store::NodeType::EpisodicWeekly,
_ => store::NodeType::EpisodicMonthly,
};
journal_tail_digests(&store, node_type, n, full)
}
}
fn journal_tail_entries(store: &store::Store, n: usize, full: bool) -> Result<(), String> {
let date_re = regex::Regex::new(r"(\d{4}-\d{2}-\d{2}[T ]\d{2}:\d{2})").unwrap();
let key_date_re = regex::Regex::new(r"j-(\d{4}-\d{2}-\d{2}[t-]\d{2}-\d{2})").unwrap();
let normalize_date = |s: &str| -> String {
let s = s.replace('t', "T");
if s.len() >= 16 {
format!("{}T{}", &s[..10], s[11..].replace('-', ":"))
} else {
s
}
};
let extract_sort = |node: &store::Node| -> (i64, String) {
if node.created_at > 0 {
return (node.created_at, store::format_datetime(node.created_at));
}
if let Some(caps) = key_date_re.captures(&node.key) {
return (0, normalize_date(&caps[1]));
}
if let Some(caps) = date_re.captures(&node.content) {
return (0, normalize_date(&caps[1]));
}
(node.timestamp, store::format_datetime(node.timestamp))
};
let mut journal: Vec<_> = store.nodes.values()
.filter(|node| node.node_type == store::NodeType::EpisodicSession)
.collect();
journal.sort_by(|a, b| {
let (at, as_) = extract_sort(a);
let (bt, bs) = extract_sort(b);
if at > 0 && bt > 0 {
at.cmp(&bt)
} else {
as_.cmp(&bs)
}
});
let skip = if journal.len() > n { journal.len() - n } else { 0 };
for node in journal.iter().skip(skip) {
let (_, ts) = extract_sort(node);
let title = extract_title(&node.content);
if full {
println!("--- [{}] {} ---\n{}\n", ts, title, node.content);
} else {
println!("[{}] {}", ts, title);
}
}
Ok(())
}
fn journal_tail_digests(store: &store::Store, node_type: store::NodeType, n: usize, full: bool) -> Result<(), String> {
let mut digests: Vec<_> = store.nodes.values()
.filter(|node| node.node_type == node_type)
.collect();
// Sort by timestamp, fall back to key for lexicographic ordering
digests.sort_by(|a, b| {
if a.timestamp > 0 && b.timestamp > 0 {
a.timestamp.cmp(&b.timestamp)
} else {
a.key.cmp(&b.key)
}
});
let skip = if digests.len() > n { digests.len() - n } else { 0 };
for node in digests.iter().skip(skip) {
let label = &node.key;
let title = extract_title(&node.content);
if full {
println!("--- [{}] {} ---\n{}\n", label, title, node.content);
} else {
println!("[{}] {}", label, title);
}
}
Ok(())
}
fn extract_title(content: &str) -> String {
let date_re = regex::Regex::new(r"(\d{4}-\d{2}-\d{2}[T ]\d{2}:\d{2})").unwrap();
for line in content.lines() {
let stripped = line.trim();
if stripped.is_empty() { continue; }
if date_re.is_match(stripped) && stripped.len() < 25 { continue; }
if stripped.starts_with("## ") {
return stripped[3..].to_string();
} else if stripped.starts_with("# ") {
return stripped[2..].to_string();
} else {
return if stripped.len() > 70 {
let mut end = 67;
while !stripped.is_char_boundary(end) { end -= 1; }
format!("{}...", &stripped[..end])
} else {
stripped.to_string()
};
}
}
String::from("(untitled)")
}
fn cmd_interference(args: &[String]) -> Result<(), String> {
let mut threshold = 0.4f32;
let mut i = 0;
while i < args.len() {
match args[i].as_str() {
"--threshold" if i + 1 < args.len() => {
threshold = args[i + 1].parse().map_err(|_| "invalid threshold")?;
i += 2;
}
_ => { i += 1; }
}
}
let store = store::Store::load()?;
let g = store.build_graph();
let pairs = neuro::detect_interference(&store, &g, threshold);
if pairs.is_empty() {
println!("No interfering pairs above threshold {:.2}", threshold);
} else {
println!("Interfering pairs (similarity > {:.2}, different communities):", threshold);
for (a, b, sim) in &pairs {
println!(" [{:.3}] {}{}", sim, a, b);
}
}
Ok(())
}
fn cmd_query(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory query 'EXPR | stage | stage ...'\n\n\
Expressions:\n \
degree > 15 property filter\n \
key ~ 'journal.*' AND degree > 10 boolean + regex\n \
neighbors('identity') WHERE ... graph traversal\n \
community_id = community('key') function as value\n \
* all nodes\n\n\
Pipe stages:\n \
| sort FIELD [asc] sort (desc by default)\n \
| limit N cap results\n \
| select F,F,... output fields as TSV\n \
| count just show count".into());
}
let query_str = args.join(" ");
let store = store::Store::load()?;
let graph = store.build_graph();
query::run_query(&store, &graph, &query_str)
}
fn cmd_lookup_bump(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return Err("Usage: poc-memory lookup-bump KEY [KEY...]".into());
}
let keys: Vec<&str> = args.iter().map(|s| s.as_str()).collect();
lookups::bump_many(&keys)
}
fn cmd_lookups(args: &[String]) -> Result<(), String> {
let date = if args.is_empty() {
chrono::Local::now().format("%Y-%m-%d").to_string()
} else {
args[0].clone()
};
let store = store::Store::load()?;
let keys: Vec<String> = store.nodes.values().map(|n| n.key.clone()).collect();
let resolved = lookups::dump_resolved(&date, &keys)?;
if resolved.is_empty() {
println!("No lookups for {}", date);
return Ok(());
}
println!("Lookups for {}:", date);
for (key, count) in &resolved {
println!(" {:4} {}", count, key);
}
println!("\n{} distinct keys, {} total lookups",
resolved.len(),
resolved.iter().map(|(_, c)| *c as u64).sum::<u64>());
Ok(())
}
fn cmd_daemon(args: &[String]) -> Result<(), String> {
if args.is_empty() {
return daemon::run_daemon();
}
match args[0].as_str() {
"status" => daemon::show_status(),
"log" => {
// daemon log [N] — last N lines (default 20)
// daemon log JOB [N] — last N lines for job
let (job, lines) = match args.get(1) {
None => (None, 20),
Some(s) => {
if let Ok(n) = s.parse::<usize>() {
(None, n)
} else {
let n = args.get(2).and_then(|s| s.parse().ok()).unwrap_or(20);
(Some(s.as_str()), n)
}
}
};
daemon::show_log(job, lines)
}
"install" => daemon::install_service(),
_ => {
eprintln!("Usage: poc-memory daemon [status|log|install]");
Err("unknown daemon subcommand".into())
}
}
}
fn cmd_knowledge_loop(args: &[String]) -> Result<(), String> {
if args.iter().any(|a| a == "--help" || a == "-h") {
eprintln!("Usage: poc-memory knowledge-loop [OPTIONS]
Run knowledge agents (observation, extractor, connector, challenger) in
a convergence loop. Each cycle runs all agents, applies actions to the
graph, and checks structural stability metrics.
Options:
--max-cycles N Maximum cycles before stopping (default: 20)
--batch-size N Items per agent per cycle (default: 5)
--window N Cycles to check for convergence (default: 5)
--max-depth N Maximum inference depth (default: 4)");
return Ok(());
}
let mut config = knowledge::KnowledgeLoopConfig::default();
let mut i = 0;
while i < args.len() {
match args[i].as_str() {
"--max-cycles" => { i += 1; config.max_cycles = args.get(i).and_then(|s| s.parse().ok()).unwrap_or(config.max_cycles); }
"--batch-size" => { i += 1; config.batch_size = args.get(i).and_then(|s| s.parse().ok()).unwrap_or(config.batch_size); }
"--window" => { i += 1; config.window = args.get(i).and_then(|s| s.parse().ok()).unwrap_or(config.window); }
"--max-depth" => { i += 1; config.max_depth = args.get(i).and_then(|s| s.parse().ok()).unwrap_or(config.max_depth); }
other => return Err(format!("Unknown arg: {}. Use --help for usage.", other)),
}
i += 1;
}
let results = knowledge::run_knowledge_loop(&config)?;
eprintln!("\nCompleted {} cycles, {} total actions applied",
results.len(),
results.iter().map(|r| r.total_applied).sum::<usize>());
Ok(())
}
fn cmd_fact_mine(args: &[String]) -> Result<(), String> {
if args.is_empty() || args.iter().any(|a| a == "--help" || a == "-h") {
eprintln!("Usage: poc-memory fact-mine <JSONL> [OPTIONS]
poc-memory fact-mine --batch <DIR> [OPTIONS]
Extract atomic factual claims from conversation transcripts using Haiku.
Options:
--batch Process all .jsonl files in directory
--dry-run Show chunks without calling model
--output FILE Write JSON to file (default: stdout)
--min-messages N Skip transcripts with fewer messages (default: 10)");
return Ok(());
}
let mut batch = false;
let mut dry_run = false;
let mut output_file: Option<String> = None;
let mut min_messages = 10usize;
let mut path: Option<String> = None;
let mut i = 0;
while i < args.len() {
match args[i].as_str() {
"--batch" => batch = true,
"--dry-run" => dry_run = true,
"--output" | "-o" => { i += 1; output_file = args.get(i).cloned(); }
"--min-messages" => { i += 1; min_messages = args.get(i).and_then(|s| s.parse().ok()).unwrap_or(min_messages); }
s if !s.starts_with('-') => path = Some(s.to_string()),
other => return Err(format!("Unknown arg: {}", other)),
}
i += 1;
}
let path = path.ok_or("Missing path argument")?;
let p = std::path::Path::new(&path);
let paths: Vec<std::path::PathBuf> = if batch {
if !p.is_dir() {
return Err(format!("Not a directory: {}", path));
}
let mut files: Vec<_> = std::fs::read_dir(p)
.map_err(|e| format!("read dir: {}", e))?
.filter_map(|e| e.ok())
.map(|e| e.path())
.filter(|p| p.extension().map(|x| x == "jsonl").unwrap_or(false))
.collect();
files.sort();
eprintln!("Found {} transcripts", files.len());
files
} else {
vec![p.to_path_buf()]
};
let path_refs: Vec<&std::path::Path> = paths.iter().map(|p| p.as_path()).collect();
let facts = fact_mine::mine_batch(&path_refs, min_messages, dry_run)?;
if !dry_run {
let json = serde_json::to_string_pretty(&facts)
.map_err(|e| format!("serialize: {}", e))?;
if let Some(out) = &output_file {
std::fs::write(out, &json).map_err(|e| format!("write: {}", e))?;
eprintln!("\nWrote {} facts to {}", facts.len(), out);
} else {
println!("{}", json);
}
}
eprintln!("\nTotal: {} facts from {} transcripts", facts.len(), paths.len());
Ok(())
}
fn cmd_fact_mine_store(args: &[String]) -> Result<(), String> {
if args.len() != 1 {
return Err("Usage: poc-memory fact-mine-store <JSONL>".into());
}
let path = std::path::Path::new(&args[0]);
if !path.exists() {
return Err(format!("File not found: {}", args[0]));
}
let count = fact_mine::mine_and_store(path, None)?;
eprintln!("Stored {} facts", count);
Ok(())
}