caura

by caura-ai · Memory & Knowledge · ★ 509

caura is an MCP server by caura-ai. 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. It has 509 GitHub stars and ranks #138 of 1287 in Memory & Knowledge by stars.

Category: Memory & Knowledge
Author: caura-ai
GitHub stars: 509
This week: Tracking since 18 Oct 2026
Language: Python
License: Apache-2.0 (open source)
Last update: 2026-10-23 (yesterday)
Links: Source Website PyPI

agent-memory
agentic-ai
ai-agents
ai-infrastructure
claude
fastapi
knowledge-graph
llm-memory
mcp
mcp-server
memory-management
multi-agent-systems
+3 more

How to install caura

caura is published on PyPI as caura-bus-mcp, and it depends on mcp. These steps assume it runs as a local stdio server, which is the usual setup.

Check the README. Confirm the start command and note any API keys or environment variables it needs (pass them with -e KEY=value or an env block). You need uv for uvx.

Add it to Claude Code from a terminal:

claude mcp add caura -- uvx caura-bus-mcp

Or add it to Cursor or Claude Desktop in .cursor/mcp.json or claude_desktop_config.json:

{
  "mcpServers": {
    "caura": {
      "command": "uvx",
      "args": [
        "caura-bus-mcp"
      ]
    }
  }
}

Restart the client and check it. Run claude mcp list, or open the client's MCP settings, and confirm caura and its tools are listed. The install guide covers VS Code and Codex.

Also listed in

Maintain this project? Get it featured ($99/mo, pinned at the top of Memory & Knowledge) or see what featuring includes.

Report a problem with this listing

Frequently asked questions

What is caura?

caura is an MCP server by caura-ai in the Memory & Knowledge 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. It has 509 GitHub stars and ranks #138 of 1287 in Memory & Knowledge by stars.

Is caura free and open source?

Yes. caura is published under the Apache-2.0 license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to caura?

Other Memory & Knowledge projects on MCP Harbor include open-webui, graphify, claude-mem. Each alternative links to its own page with stars, license and recent activity. The Memory & Knowledge category ranks all 1287 by stars, and you can re-sort it by growth this week.

Alternatives to caura

open-webuiTrending★ 156,612

open-webui · Python+650 stars this week (+0.4%)

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

graphifyTrending★ 134,032

Graphify-Labs · Python+6,459 stars this week (+5.1%)

Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.

claude-memTrending★ 102,636

thedotmack · TypeScript+1,292 stars this week (+1.3%)

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

ragflowTrending★ 92,783

infiniflow · Go+413 stars this week (+0.4%)

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

lobehub★ 83,457

lobehub · TypeScript+167 stars this week (+0.2%)

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

headroomTrending★ 77,678

headroomlabs-ai · Python+2,109 stars this week (+2.8%)

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

All 1287 Memory & Knowledge MCP servers →

Data last updated 25 October 2026. Stars and downloads are refreshed every day from GitHub and npm.