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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.

Subagents380 stars46 forksPythonApache-2.0Updated today
ClaudeWave Trust Score
97/100
Verified
Passed
  • Open-source license (Apache-2.0)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
Last scanned: 6/11/2026
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/caura-ai/caura-memclaw && cp caura-memclaw/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.

2 items in this repository

memclawSkill

The agent's persistent long-term memory — the only knowledge that survives across sessions, shared across the fleet under access control. Consult it at the start of a task to recall prior decisions, findings, and rules before acting, and write outcomes, decisions, and lessons as work completes. Use whenever a memclaw_* tool is present, whenever the user refers to past work ("what did we decide", "last time", "earlier"), or whenever any durable fact needs to be stored, recalled, superseded, or shared with the fleet. Do not use it for throwaway within-session scratch state.

Install

How an agent should operate as one mind inside a shared Company Brain built on MemClaw — recall before acting, obey fleet keystones, reuse and publish skills, and report outcomes so every task compounds across the whole organization. Use this whenever you work as part of a MemClaw-connected team or fleet and your work should build on, and feed back into, what the organization already knows; it sets the operating posture. For the mechanics of individual memclaw_* tools, see the companion "memclaw" skill.

Install
Use cases

Subagents overview

README preview not available. Visit the repo on GitHub for full documentation.
agent-memoryagentic-aiai-agentsai-infrastructureclaudefastapiknowledge-graphllm-memorymcpmcp-servermemory-managementmulti-agent-systemsopenaipgvectorrag

What people ask about caura-memclaw

What is caura-ai/caura-memclaw?

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caura-ai/caura-memclaw is subagents for the Claude AI ecosystem. 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 380 GitHub stars and was last updated today.

How do I install caura-memclaw?

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You can install caura-memclaw by cloning the repository (https://github.com/caura-ai/caura-memclaw) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is caura-ai/caura-memclaw safe to use?

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Our security agent has analyzed caura-ai/caura-memclaw and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains caura-ai/caura-memclaw?

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caura-ai/caura-memclaw is maintained by caura-ai. The last recorded GitHub activity is from today, with 30 open issues.

Are there alternatives to caura-memclaw?

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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.

Deploy caura-memclaw to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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