ProofOfConcept
5c641d9f8a
knowledge agents: extractor, connector, challenger, observation
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Four layer-2 agents that produce new knowledge from the memory graph:
mine conversations, extract patterns from clusters, find cross-domain
connections, stress-test existing nodes. Output to agent-results/.
knowledge_loop.py runs them on a schedule with quality tracking.
2026-03-03 10:56:44 -05:00
ProofOfConcept
23fac4e5fe
poc-memory v0.4.0: graph-structured memory with consolidation pipeline
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Rust core:
- Cap'n Proto append-only storage (nodes + relations)
- Graph algorithms: clustering coefficient, community detection,
schema fit, small-world metrics, interference detection
- BM25 text similarity with Porter stemming
- Spaced repetition replay queue
- Commands: search, init, health, status, graph, categorize,
link-add, link-impact, decay, consolidate-session, etc.
Python scripts:
- Episodic digest pipeline: daily/weekly/monthly-digest.py
- retroactive-digest.py for backfilling
- consolidation-agents.py: 3 parallel Sonnet agents
- apply-consolidation.py: structured action extraction + apply
- digest-link-parser.py: extract ~400 explicit links from digests
- content-promotion-agent.py: promote episodic obs to semantic files
- bulk-categorize.py: categorize all nodes via single Sonnet call
- consolidation-loop.py: multi-round automated consolidation
Co-Authored-By: Kent Overstreet <kent.overstreet@linux.dev>
2026-02-28 22:17:00 -05:00
