memory: add spreading activation tool
Add `poc-memory graph spread` command that takes multiple seed node keys, runs spreading activation through the graph, and returns nodes ranked by total activation — nodes that bridge multiple seed concepts score highest. Expose spreading_activation() as pub from the query engine. Add memory_spread and memory_search_content tool definitions for MCP. Co-Authored-By: Proof of Concept <poc@bcachefs.org>
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3 changed files with 49 additions and 1 deletions
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@ -6,6 +6,7 @@
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// trace, spectral-*, organize, interference.
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use crate::{store, graph, neuro, spectral};
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use crate::store::StoreView;
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pub fn cmd_graph() -> Result<(), String> {
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let store = store::Store::load()?;
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@ -109,6 +110,45 @@ pub fn cmd_normalize_strengths(apply: bool) -> Result<(), String> {
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Ok(())
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}
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pub fn cmd_spread(keys: &[String], max_results: usize) -> Result<(), String> {
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if keys.is_empty() {
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return Err("spread requires at least one seed key".into());
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}
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let store = store::Store::load()?;
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let graph = graph::build_graph_fast(&store);
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let params = store.params();
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let seeds: Vec<(String, f64)> = keys.iter()
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.filter_map(|k| {
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let resolved = store.resolve_key(k).ok()?;
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Some((resolved, 1.0))
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})
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.collect();
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if seeds.is_empty() {
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return Err("no valid seed keys found".into());
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}
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let results = crate::search::spreading_activation(
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&seeds, &graph, &store,
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params.max_hops, params.edge_decay, params.min_activation,
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);
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let seed_keys: std::collections::HashSet<&str> = seeds.iter()
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.map(|(k, _)| k.as_str())
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.collect();
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for (key, score) in results.iter()
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.filter(|(k, _)| !seed_keys.contains(k.as_str()))
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.take(max_results)
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{
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println!(" {:.2} {}", score, key);
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}
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Ok(())
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}
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pub fn cmd_link(key: &[String]) -> Result<(), String> {
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if key.is_empty() {
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return Err("link requires a key".into());
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