Anneal Memory

Unclaimed

by phillipclapham

Living memory for AI agents with an immune system. Episodes compress into identity. Zero dependencies, works with any client.

agent-memoryai-agentsai-memorycompressionllmmcpmemory-managementmodel-context-protocolpython

Install

$pip install anneal-memory

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Tools (9)

crystal_index

The always-on name + one-clause menu of the crystallized store — what graduated wisdom exists, so the agent isn't blind to its own corpus (the bodies fill on cue via crystalrecall)

crystal_recall

Recall crystallized (graduated, long-term) patterns relevant to a query — the on-demand semantic tier. Keyword scoring is corpus-aware (rare, distinctive terms outweigh common process-words, so recall stays precise on a large store), and recall also follows evidence edges — surfacing a pattern groun

delete_episode

Remove content that should not exist (PII, sensitive data). Cascades to associations. Logged in audit trail

prepare_wrap

At session end — returns episodes + current continuity + association context + compression instructions

recall

Before making decisions that might have prior context. Query by time, type, keyword, or ID

record

When something important happens — a decision, observation, tension, question, outcome, or context change

save_continuity

After compressing — server validates structure, citations, records associations, applies decay, and saves

spore_

The prospective (spore) layer — open loops that must resolve, distinct from retrospective memory: sporeadd / sporelist / sporesurface / sporeget / sporeupdate / sporetouch / sporedescend / sporeascend. See Prospective memory — spores

status

Check memory health: episode counts, wrap history, continuity size, association network metrics