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caura MCP Server

caura-ai/caura

Score: 84.9 ↓ 3% Rank #930 Agent Framework
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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.

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Overview

caura-ai/caura is a Python tool licensed under Apache-2.0. 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. Topics: agent-memory, agentic-ai, ai-agents, ai-infrastructure, claude, fastapi, knowledge-graph, llm-memory, mcp, mcp-server, memory-management, multi-agent-systems, openai, pgvector, rag.

Ranked #930 out of 24849 indexed tools.

In the top 4% of all indexed tools.

Has 26 contributors.

Actively maintained with commits in the last week.

Ecosystem

Python Apache-2.0
agent-memoryagentic-aiai-agentsai-infrastructureclaudefastapiknowledge-graphllm-memorymcpmcp-servermemory-managementmulti-agent-systemsopenaipgvectorrag

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 544

544 stars → growing community

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 55%

83/150 issues closed → decent issue management

Contributors 10% 26

26 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 89
Description Detailed
License Apache-2.0

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

topic:mcptopic:mcp-server

From the README

<h1 align="center">Caura &mdash; Shared governed memory for AI agents</h1>

<h3 align="center">Fleet memory for AI agents &mdash; governed, shared, self-improving.</h3>

<p align="center"><strong>MemClaw is now Caura</strong> &mdash; same product, one name.<br /> 
Existing <code>memclaw_*</code> tool calls and supported <code>MEMCLAW_*</code> environment aliases continue to work; use <code>caura_*</code> names and current Caura URLs for new configuration. The PyPI name <code>memclaw-client</code> is kept only as a redirect shell (0.5.1) that installs <code>caura-client</code>; it provides no <code>memclaw_client</code> import and no <code>MemClaw</code> class. The npm package <code>@caura/memclaw-client</code> was never published.</p> 

<p align="center">
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