Agent identity, parallel scheduling, memory-search fixes, stemmer optimization
- 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>
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@ -60,6 +60,12 @@ If you find nodes that should be linked to the hub but aren't.
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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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