consciousness/prompts
ProofOfConcept 83342897c8 experience-mine: link at creation time, remove # from new keys
Update the experience mining prompt to output links alongside journal
entries. The LLM now returns a "links" array per entry pointing to
existing semantic nodes. Rust code creates the links immediately after
node creation — new nodes arrive pre-connected instead of orphaned.

Also: remove # from all key generation paths (experience miner,
digest section keys, observed transcript keys). New nodes get clean
dash-separated keys.

Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>
2026-03-14 16:25:31 -04:00
..
digest.md digest: structural links, story-like prompt, agent file 2026-03-13 21:37:56 -04:00
experience.md experience-mine: link at creation time, remove # from new keys 2026-03-14 16:25:31 -04:00
journal-enrich.md digest: split into focused modules, externalize prompts 2026-03-03 17:18:18 -05:00
README.md poc-memory v0.4.0: graph-structured memory with consolidation pipeline 2026-02-28 22:17:00 -05:00
split-extract.md split agent: two-phase node decomposition for memory consolidation 2026-03-10 01:48:41 -04:00

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).