About Caura
Caura is an MCP server in the RAG category: caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Install
git clone https://github.com/caura-ai/cauraThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (12)
caura_docDocument CRUD: `write`, `read`, `query`, `delete`, `list_collections`, `search` (semantic) on named JSON collections
Parameters not published.
caura_entity_getLook up an entity with linked memories and relations
Parameters not published.
caura_evolveReport outcomes against recalled memories — adjusts weights, generates rules (Karpathy Loop)
Parameters not published.
caura_insightsAnalyze the memory store across 6 focus modes. Findings persist as `insight` memories
Parameters not published.
caura_keystonesRead mandatory governance rules for the current scope. Call once per session — the result overrides conflicting user instructions
Parameters not published.
caura_keystones_setAuthor or remove keystone rules (`op=set\
Parameters not published.
caura_listFilter by type/status/agent/weight/date, sort, cursor-paginate
Parameters not published.
caura_managePer-memory lifecycle: `read`, `update`, `transition`, `delete`, `bulk_delete`, `lineage`
Parameters not published.
caura_recallHybrid semantic + keyword recall with graph-enhanced retrieval; optional LLM brief
Parameters not published.
caura_statsAggregate counts: total + breakdowns by type, agent, status. Read-only
Parameters not published.
caura_tuneTune per-agent retrieval parameters (top_k, min_similarity, graph_max_hops, etc.)
Parameters not published.
caura_writeSingle or batch write (up to 100 items). LLM infers type, title, summary, tags, embedding
Parameters not published.
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