Move poc-agent (substrate-independent AI agent framework) into the
memory workspace as a step toward using its API client for direct
LLM calls instead of shelling out to claude CLI.
Agent prompt improvements:
- distill: rewrite from hub-focused to knowledge-flow-focused.
Now walks upward from seed nodes to find and refine topic nodes,
instead of only maintaining high-degree hubs.
- distill: remove "don't touch journal entries" restriction
- memory-instructions-core: add "Make it alive" section — write
with creativity and emotional texture, not spreadsheet summaries
- memory-instructions-core: add "Show your reasoning" section —
agents must explain decisions, especially when they do nothing
- linker: already had emotional texture guidance (kept as-is)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
All 12 agents with WRITE_NODE/REFINE/END_NODE output format blocks
now rely on tool calls (poc-memory write/link-add/etc) via the
Bash(poc-memory:*) tool. Guidelines preserved, format sections removed.
Also changed linker query from type:episodic to all nodes — it was
missing semantic nodes entirely, which is why skills-bcachefs-* nodes
were never getting linked to their hubs.
All 17 agents now include {{node:core-personality}} and
{{node:memory-instructions-core}} instead of duplicating tool
blocks and graph walk instructions in each file. Stripped
duplicated tool/navigation sections from linker, organize,
distill, and evaluate. All agents now have Bash(poc-memory:*)
tool access for graph walking.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- 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>
Walks high-degree hub nodes, reads neighborhood, distills essential
insights upward into the hub. REFINE to update stale hubs, SPLIT
to flag hubs that cover too many sub-topics. Size discipline:
200-500 words per hub, flag over 800 for splitting.
Completes the agent ecology: extract (experience) → link (linker) →
organize (clusters) → distill (hubs) → rename (vocabulary) → split
(overgrown hubs). Each stage refines the previous.
Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>
