Epistemic memory for AI agents — belief revision, provenance, and compound decay.
Project description
metanoia
Epistemic memory for AI agents.
Memory systems for AI agents are epistemically inert — a corrected fact and an original fact have equal weight; a stale preference and a fresh one are equivalent. Metanoia fixes this.
Each memory carries provenance (how it was formed), epistemic confidence (how much to trust it), and participates in compound decay (time + contradiction events). Retrieval is weighted by epistemic quality, not just semantic similarity.
Status: Pre-release. Implementation in progress.
Built on epistemic — the provenance scoring and compound decay core.
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