kent/consciousness
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

stop filtering journal/digest nodes from knowledge and search

Browse source 
Journal and digest nodes are episodic memory — they should participate
in the graph on the same terms as everything else. Remove all
journal#/daily-/weekly-/monthly- skip filters from knowledge
extraction, connector pairs, challenger, semantic keys, and link
candidate selection. Use node_type field instead of key name matching
for episodic/semantic classification.

Operational nodes (MEMORY, where-am-i, work-queue, work-state) are
still filtered — they're system state, not memory.

Co-Authored-By: ProofOfConcept <poc@bcachefs.org>
This commit is contained in:
Kent Overstreet 2026-03-08 20:02:01 -04:00
parent b00e09b091
commit 70c0276fa0
4 changed files with 13 additions and 28 deletions
Download patch file Download diff file Expand all files Collapse all files

12
src/neuro/prompts.rs
View file

@ -145,12 +145,10 @@ fn format_nodes_section(store: &Store, items: &[ReplayItem], graph: &Graph) -> S
// Suggested link targets: text-similar semantic nodes not already neighbors
let neighbor_keys: std::collections::HashSet<&str> = neighbors.iter()
.map(|(k, _)| k.as_str()).collect();
let skip = ["MEMORY", "where-am-i", "work-queue", "work-state"];
let mut candidates: Vec<(&str, f32)> = store.nodes.iter()
.filter(|(k, _)| {
// Only semantic/topic file nodes, not episodic
!k.starts_with("journal.") && !k.starts_with("deep-index.")
&& !k.starts_with("daily-") && !k.starts_with("weekly-")
&& !k.starts_with("monthly-") && !k.starts_with("session-")
!skip.contains(&k.as_str())
&& *k != &item.key
&& !neighbor_keys.contains(k.as_str())
})
@ -300,7 +298,7 @@ pub fn consolidation_batch(store: &Store, count: usize, auto: bool) -> Result<()
println!("Consolidation batch ({} nodes):\n", items.len());
for item in &items {
let node_type = store.nodes.get(&item.key)
.map(|n| if n.key.contains("journal") { "episodic" } else { "semantic" })
.map(|n| if matches!(n.node_type, crate::store::NodeType::EpisodicSession) { "episodic" } else { "semantic" })
.unwrap_or("?");
println!(" [{:.3}] {} (cc={:.3}, interval={}d, type={})",
item.priority, item.key, item.cc, item.interval_days, node_type);
@ -347,8 +345,6 @@ pub fn agent_prompt(store: &Store, agent: &str, count: usize) -> Result<String,
store.nodes.get(&item.key)
.map(|n| matches!(n.node_type, crate::store::NodeType::EpisodicSession))
.unwrap_or(false)
|| item.key.contains("journal")
|| item.key.contains("session")
});
items.truncate(count);
let nodes_section = format_nodes_section(store, &items, &graph);
@ -363,7 +359,7 @@ pub fn agent_prompt(store: &Store, agent: &str, count: usize) -> Result<String,
"transfer" => {
// Recent episodic entries
let mut episodes: Vec<_> = store.nodes.iter()
.filter(|(k, _)| k.contains("journal") || k.contains("session"))
.filter(|(_, n)| matches!(n.node_type, crate::store::NodeType::EpisodicSession))
.map(|(k, n)| (k.clone(), n.timestamp))
.collect();
episodes.sort_by(|a, b| b.1.cmp(&a.1));