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Manage Memoh AI agents, containers, files, and memory from MCP clients.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "memoh-mcp" yet — see the docs or source repo.
Using memoh-mcp, list the available Memoh AI agents and show each agent's basic info and status.
A list of agents with identifiable basic information and current status for further management.
Use memoh-mcp to inspect Memoh-related containers and health status, and point out any issues.
A report of container and health check results, highlighting any potentially abnormal items.
With memoh-mcp, review the memory and chat resources related to an agent and summarize the context to continue work.
An overview of related memory and chat content to help continue the agent's context.
Developers can manage Memoh agents, files, skills, and chat resources directly inside Claude Code, Cursor, or another MCP-compatible client. This keeps AI agent operations inside the normal development workflow.
DevOps engineers or technical leads can use the tool to inspect containers, settings, and health status to quickly understand whether the Memoh environment is operating normally. It is useful for initial checks when issues appear.
When a team needs to continue an AI agent's task, they can review its memory and chat content to restore context quickly. This is helpful for ongoing agent collaboration and follow-up work.
It is an MCP server for managing Memoh AI agents from Claude Code, Cursor, or other MCP-compatible clients. The description says it provides 26 tools covering bots, containers, files, skills, memory, chat, settings, and health.
It is explicitly described as working with Claude Code, Cursor, and any MCP-compatible client. For more compatibility details, see the source repository.
The provided material does not include installation steps or prerequisite details. For setup, runtime requirements, or any key requirements, see the source repository.
Manage persistent agent memories across global or repository-specific scopes.
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Give AI agents persistent memory and semantic retrieval across conversations.
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Provide shared memory for Claude across apps with sessions, handoffs, and artifacts.