AI & Machine Learning

Memex

Cross-session shared memory for agents. Use at session start to load the persistent bias-log via `mcp__memex__recent_observations`, mid-session to search prior context with `mcp__memex__search`, and immediately when a bias surfaces to log a new `observation` via `mcp__memex__add`. The six-layer reconstruction trail (raw → embedded → indexed → graphed → curated → reflexive) means memex stores facts AND the agent's own reasoning patterns across sessions. Prefer querying memex before re-deriving prior architectural decisions; re-derivation is itself evidence that the trail is incomplete.

Publisher / source
pjt222/agent-almanac (found on the CSV list)
Upstream record
pjt222/agent-almanac
Version
Version 1
Published
Publication review
Approved for publication
Content fingerprint
85a545e254cd768aadeda33844cf949deb54e44633e02eea6700703a1a05e911