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Connect agents to self-hosted mem0 for persistent memory operations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mem0-mcp" yet — see the docs or source repo.
Add this fact to mem0 memory: the user prefers answers in Chinese and likes a concise style.
The tool stores the preference as a durable fact in mem0 for future conversations.
Search memory for facts related to the user's preferred output language and return the most relevant results.
It returns relevant stored memory entries so the agent can maintain context.
Review existing memories about the user's response style, automatically reconcile conflicts, and keep the latest consistent version.
The tool manages memory entries and automatically reconciles conflicting information.
Developers building conversational or task-oriented agents can use it to connect an agent to a self-hosted mem0 service through MCP. This lets the agent add, search, and manage durable facts over time.
When a team wants agent memory to stay in a self-hosted environment, this bridge can be used as a stdio MCP interface. It fits scenarios that need persistent memory operations without relying on a hosted service.
Researchers or developers running multi-turn interaction experiments can use its question-rewrite and automatic reconciliation capabilities to improve memory retrieval and consistency. This makes it easier to find relevant information from past facts.
It is a lightweight stdio MCP bridge for connecting to a self-hosted mem0 OSS server. It supports persistent memory operations for agents such as adding, searching, and managing durable facts.
Based on the description, you need a self-hosted mem0 OSS server and an MCP setup that communicates over stdio. For exact installation and runtime details, see the source repository.
Beyond basic memory CRUD, this tool emphasizes durable facts, automatic reconciliation, and question rewriting. In other words, it not only stores information but also helps agents retrieve and maintain memory more consistently.
Give AI agents persistent memory, retrieval, and context management across conversations.
Toggle a local memory server on macOS to extract and store facts.
Give AI agents persistent memory and semantic retrieval across conversations.
Manage persistent agent memories across global or repository-specific scopes.
Connect local memory vaults to MCP for persistent AI context read and write.
Safely read, write, and search a local Markdown memory store via MCP.