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Give AI agents persistent long-term memory with CRUD and search capabilities.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.mem0ai/mem0" MCP server from askskill: Run: claude mcp add --transport http 'io-github-mem0ai-mem0' 'https://mcp.mem0.ai/mcp'
Use mem0 to remember that user 'Zhang San prefers Chinese replies and usually asks about billing,' and make this long-term memory searchable later by user ID.
The tool stores a persistent user-preference memory that can be retrieved in later interactions.
First use mem0 to search long-term memories related to 'Project Alpha deadline,' then pass the retrieved results to the AI agent for drafting a reply.
It returns relevant past memories so the agent can generate a more consistent fact-based response.
Update the saved memory 'the client contact is Li Si' to 'the client contact is Wang Min'; if the client is inactive, delete the related long-term memory.
The tool updates or removes the memory so the agent stops using outdated information.
Developers can use it to store user preferences, historical facts, and task context when building AI agents, so the agent remains consistent across sessions. It fits applications that need to remember past interactions.
When an agent needs to recall information before responding, it can search existing long-term memories and feed the results into its reasoning flow. This helps reduce repeated questions and improve relevance.
For information that changes over time, update and delete operations help keep memories accurate. This is useful in agent workflows where contacts, preferences, or task states evolve.
No documentation provided
Check the source repo for usage and examples.
This is a persistent memory tool for AI agents that can add, search, update, and delete long-term memories. Its core value is helping agents retain context across interactions.
Based on the provided description, it supports four operations: add, search, update, and delete. In other words, it can create, retrieve, modify, and remove long-term memories.
The provided material does not include installation steps, runtime requirements, or API key setup details. See the source repository for exact prerequisites and integration instructions.
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