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MCP server · RAG

Caura

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.

52Fair

Scored 2 months ago · breakdown

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

From source
git clone https://github.com/caura-ai/caura

This 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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Questions

About Caura

How do I install Caura?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Caura safe to use with an AI agent?

Its trust score is 52 out of 100 (fair). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Caura still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.