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)
How to use it
crystal_index is exposed by the Anneal Memory MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the crystal_index tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.
Install Anneal Memory
pip install anneal-memoryOther tools in Anneal Memory (8)
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
Remove content that should not exist (PII, sensitive data). Cascades to associations. Logged in audit trail
At session end — returns episodes + current continuity + association context + compression instructions
Before making decisions that might have prior context. Query by time, type, keyword, or ID
When something important happens — a decision, observation, tension, question, outcome, or context change
After compressing — server validates structure, citations, records associations, applies decay, and saves
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
Check memory health: episode counts, wrap history, continuity size, association network metrics