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ProofOfConcept 5c641d9f8a knowledge agents: extractor, connector, challenger, observation 
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
..
bulk-categorize.py scripts: use capnp store instead of reading markdown directly 2026-02-28 23:32:47 -05:00
call-sonnet.sh poc-memory v0.4.0: graph-structured memory with consolidation pipeline 2026-02-28 22:17:00 -05:00
consolidation-agents.py scripts: use capnp store instead of reading markdown directly 2026-02-28 23:32:47 -05:00
consolidation-loop.py scripts: use capnp store instead of reading markdown directly 2026-02-28 23:32:47 -05:00
content-promotion-agent.py delete superseded Python scripts 2026-03-01 00:13:03 -05:00
daily-check.sh poc-memory v0.4.0: graph-structured memory with consolidation pipeline 2026-02-28 22:17:00 -05:00
fact-mine.py spectral decomposition, search improvements, char boundary fix 2026-03-03 01:33:31 -05:00
knowledge-agents.py spectral decomposition, search improvements, char boundary fix 2026-03-03 01:33:31 -05:00
knowledge-loop.py spectral decomposition, search improvements, char boundary fix 2026-03-03 01:33:31 -05:00
knowledge_agents.py knowledge agents: extractor, connector, challenger, observation 2026-03-03 10:56:44 -05:00
knowledge_loop.py knowledge agents: extractor, connector, challenger, observation 2026-03-03 10:56:44 -05:00
retroactive-digest.py scripts: use capnp store instead of reading markdown directly 2026-02-28 23:32:47 -05:00
store_helpers.py scripts: use capnp store instead of reading markdown directly 2026-02-28 23:32:47 -05:00