ca62692a28
Phase 1 sends a large node with its neighbor communities to the LLM
and gets back a JSON split plan (child keys, descriptions, section
hints). Phase 2 fires one extraction call per child in parallel —
each gets the full parent content and extracts/reorganizes just its
portion.
This handles arbitrarily large nodes because output is always
proportional to one child, not the whole parent. Tested on the kent
node (19K chars → 3 children totaling 20K chars with clean topic
separation).
New files:
prompts/split-plan.md — phase 1 planning prompt
prompts/split-extract.md — phase 2 extraction prompt
prompts/split.md — original single-phase (kept for reference)
Modified:
agents/prompts.rs — split_candidates(), split_plan_prompt(),
split_extract_prompt(), agent_prompt "split" arm
agents/daemon.rs — job_split_agent() two-phase implementation,
RPC dispatch for "split" agent type
tui.rs — added "split" to AGENT_TYPES
|
||
|---|---|---|
| .. | ||
| assimilate.md | ||
| challenger.md | ||
| connector.md | ||
| consolidation.md | ||
| digest.md | ||
| experience.md | ||
| extractor.md | ||
| health.md | ||
| journal-enrich.md | ||
| linker.md | ||
| observation-extractor.md | ||
| orchestrator.md | ||
| README.md | ||
| rename.md | ||
| replay.md | ||
| separator.md | ||
| split-extract.md | ||
| split-plan.md | ||
| split.md | ||
| transfer.md | ||
Consolidation Agent Prompts
Five Sonnet agents, each mapping to a biological memory consolidation process.
Run during "sleep" (dream sessions) or on-demand via poc-memory consolidate-batch.
Agent roles
| Agent | Biological analog | Job |
|---|---|---|
| replay | Hippocampal replay + schema assimilation | Review priority nodes, propose integration |
| linker | Relational binding (hippocampal CA1) | Extract relations from episodes, cross-link |
| separator | Pattern separation (dentate gyrus) | Resolve interfering memory pairs |
| transfer | CLS (hippocampal → cortical transfer) | Compress episodes into semantic summaries |
| health | Synaptic homeostasis (SHY/Tononi) | Audit graph health, flag structural issues |
Invocation
Each prompt is a template. The harness (poc-memory consolidate-batch) fills in
the data sections with actual node content, graph metrics, and neighbor lists.
Output format
All agents output structured actions, one per line:
LINK source_key target_key [strength]
CATEGORIZE key category
COMPRESS key "one-sentence summary"
EXTRACT key topic_file.md section_name
CONFLICT key1 key2 "description"
DIFFERENTIATE key1 key2 "what makes them distinct"
MERGE key1 key2 "merged summary"
DIGEST "title" "content"
NOTE "observation about the graph or memory system"
The harness parses these and either executes (low-risk: LINK, CATEGORIZE, NOTE) or queues for review (high-risk: COMPRESS, EXTRACT, MERGE, DIGEST).