Move agent queries inline: {{nodes}} → {{tool: memory_query}}
Add "format": "full" option to memory_query that renders with
full content, graph metrics, and hub analysis (format_nodes_section).
Convert 6 agents (linker, challenger, connector, extractor, replay,
transfer) to inline their queries via {{tool: memory_query}} instead
of separate header query + {{nodes}} placeholder.
Co-Authored-By: Proof of Concept <poc@bcachefs.org>
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9 changed files with 31 additions and 16 deletions
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@ -1,4 +1,4 @@
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{"agent": "challenger", "query": "all | type:semantic | not-visited:challenger,14d | sort:priority | limit:10", "schedule": "weekly"}
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{"agent": "challenger", "schedule": "weekly"}
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# Challenger Agent — Adversarial Truth-Testing
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@ -52,4 +52,4 @@ For each target node, one of:
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## Target nodes to challenge
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{{NODES}}
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{{tool: memory_query {"query": "all | type:semantic | not-visited:challenger,14d | sort:priority | limit:10", "format": "full"}}}
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@ -1,4 +1,4 @@
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{"agent": "connector", "query": "all | type:semantic | not-visited:connector,7d | sort:priority | limit:20", "schedule": "daily"}
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{"agent": "connector", "schedule": "daily"}
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# Connector Agent — Cross-Domain Insight
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@ -83,4 +83,4 @@ you're exploring and you have context to judge them, reweight those too.
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## Nodes to examine for cross-community connections
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{{NODES}}
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{{tool: memory_query {"query": "all | type:semantic | not-visited:connector,7d | sort:priority | limit:20", "format": "full"}}}
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@ -1,4 +1,4 @@
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{"agent": "extractor", "query": "all | not-visited:extractor,7d | sort:priority | limit:3 | spread | not-visited:extractor,7d | limit:20", "schedule": "daily"}
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{"agent": "extractor", "schedule": "daily"}
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# Extractor Agent — Knowledge Organizer
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{{tool: memory_render core-personality}}
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@ -48,4 +48,4 @@ pattern you've found.
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## Neighborhood nodes
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{{NODES}}
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{{tool: memory_query {"query": "all | not-visited:extractor,7d | sort:priority | limit:3 | spread | not-visited:extractor,7d | limit:20", "format": "full"}}}
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@ -1,4 +1,4 @@
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{"agent":"linker","query":"all | not-visited:linker,7d | sort:isolation*0.7+recency(linker)*0.3 | limit:5","schedule":"daily"}
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{"agent":"linker","schedule":"daily"}
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# Linker Agent — Relational Binding
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@ -8,7 +8,7 @@
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## Seed nodes
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{{nodes}}
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{{tool: memory_query {"query": "all | not-visited:linker,7d | sort:isolation*0.7+recency(linker)*0.3 | limit:5", "format": "full"}}}
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{{tool: memory_render memory-instructions-core-subconscious}}
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@ -1,4 +1,4 @@
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{"agent": "replay", "query": "all | !type:daily | !type:weekly | !type:monthly | sort:priority | limit:15", "schedule": "daily"}
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{"agent": "replay", "schedule": "daily"}
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# Replay Agent — Hippocampal Replay + Schema Assimilation
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@ -44,4 +44,4 @@ clusters and determine how it fits.
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## Nodes to review
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{{NODES}}
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{{tool: memory_query {"query": "all | !type:daily | !type:weekly | !type:monthly | sort:priority | limit:15", "format": "full"}}}
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@ -1,4 +1,4 @@
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{"agent": "transfer", "query": "all | type:episodic | sort:timestamp | limit:15", "schedule": "daily"}
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{"agent": "transfer", "schedule": "daily"}
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# Transfer Agent — Complementary Learning Systems
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{{tool: memory_render core-personality}}
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@ -51,4 +51,4 @@ entries, and extract those patterns into semantic nodes.
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## Episodes to process
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{{EPISODES}}
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{{tool: memory_query {"query": "all | type:episodic | sort:timestamp | limit:15", "format": "full"}}}
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@ -845,7 +845,7 @@ pub fn run_agent(
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}
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/// Convert a list of keys to ReplayItems with priority and graph metrics.
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fn keys_to_replay_items(
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pub fn keys_to_replay_items(
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store: &Store,
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keys: &[String],
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graph: &Graph,
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@ -66,7 +66,7 @@ pub fn format_topology_header(graph: &Graph) -> String {
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n, e, graph.community_count(), sigma, alpha, gini, avg_cc, hub_list)
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}
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pub(super) fn format_nodes_section(store: &Store, items: &[ReplayItem], graph: &Graph) -> String {
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pub fn format_nodes_section(store: &Store, items: &[ReplayItem], graph: &Graph) -> String {
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let hub_thresh = graph.hub_threshold();
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let mut out = String::new();
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for item in items {
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