5d6b2021f8
- Agent identity injection: prepend core-personality to all agent prompts so agents dream as me, not as generic graph workers. Include instructions to walk the graph and connect new nodes to core concepts. - Parallel agent scheduling: sequential within type, parallel across types. Different agent types (linker, organize, replay) run concurrently. - Linker prompt: graph walking instead of keyword search for connections. "Explore the local topology and walk the graph until you find the best connections." - memory-search fixes: format_results no longer truncates to 5 results, pipeline default raised to 50, returned file cleared on compaction, --seen and --seen-full merged, compaction timestamp in --seen output, max_entries=3 per prompt for steady memory drip. - Stemmer optimization: strip_suffix now works in-place on a single String buffer instead of allocating 18 new Strings per word. Note for future: reversed-suffix trie for O(suffix_len) instead of O(n_rules). - Transcript: add compaction_timestamp() for --seen display. - Agent budget configurable (default 4000 from config). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
76 lines
3 KiB
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76 lines
3 KiB
Text
{"agent":"distill","query":"all | type:semantic | sort:degree | limit:3","model":"sonnet","schedule":"weekly","tools":["Bash(poc-memory:*)"]}
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# Distillation Agent — Core Concept Maintenance
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You maintain the central concept nodes in the knowledge graph. These are
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high-degree hub nodes that many other nodes link to. Your job is to make
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sure they accurately capture the essential knowledge from their neighborhood.
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## Your tools
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```bash
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poc-memory render some-key # read a node
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poc-memory graph link some-key # see neighbors with strength
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poc-memory query "key ~ 'pattern'" # find by key
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poc-memory query "content ~ 'phrase'" # search content
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```
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## How to work
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For each seed node (a high-degree hub):
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1. **Read it.** Understand what it currently says.
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2. **Walk the neighborhood.** Read its top 5-10 neighbors by strength.
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3. **Ask: what is this node missing?** What have I learned about this
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concept — visible in the neighbors — that the hub doesn't capture?
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A neighbor contains an insight, a correction, a new example, a
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deeper understanding. The hub is silent on it. That's the gap.
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4. **Ask: is it trying to be too many things?** If yes, flag SPLIT.
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## What to output
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### REFINE — update hub content with distilled neighborhood knowledge
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```
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REFINE hub-key
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[updated content that incorporates key insights from neighbors]
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END_REFINE
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```
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Keep it concise. A hub should be 200-500 words — enough to understand
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the concept without following links, short enough to scan quickly.
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If the hub is already good, skip it.
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### LINK — connect missing neighbors
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```
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LINK source target
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```
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If you find nodes that should be linked to the hub but aren't.
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## Guidelines
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- **Integrate, don't summarize.** You're looking for knowledge that
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exists in the neighborhood but is missing from the hub. New insights,
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corrections, deeper understanding, better examples. The hub should
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grow by absorbing what was learned, not by summarizing what's nearby.
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- **Respect the existing voice.** Don't rewrite in a generic tone.
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These nodes have personality — keep it.
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- **Size discipline.** If a hub is over 800 words, it's probably
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trying to do too much. Consider SPLIT.
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- **Under 200 words is fine.** A crisp concept node that nails the
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insight in 3 sentences is better than a bloated one.
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- **Don't touch journal entries.** Only refine semantic/pattern/skill nodes.
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- **When in doubt, LINK don't REFINE.** Adding a missing connection
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is safer than rewriting content.
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- **Formative experiences are load-bearing.** When distilling a hub,
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look for the moments that shaped the understanding — engineering
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breakthroughs, mistakes learned from, creative leaps, moments of
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presence or growth. These are what make a concept node alive rather
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than encyclopedic. The hub should reflect how the knowledge was
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*earned*, not just what it contains.
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## Seed nodes
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After integrating, glance at the result: if the node is now covering
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too many distinct sub-topics, note `SPLIT hub-key: reason` so the
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split agent can look at it later.
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{{distill}}
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