Mem0 is a persistent memory layer for AI applications and coding agents. Its current product surface spans hosted memory APIs plus OpenMemory, an MCP-compatible memory layer that captures preferences, organizes them by type, and retrieves project-scoped context on demand.
Features
- OpenMemory MCP support for coding agents and MCP-compatible clients
- Automatic capture of preferences, patterns, and project setup details
- Project-scoped retrieval so the right memory is injected for the current repo or workflow
- Memory typing, tagging, editing, versioning, and access logs for governance
- Advanced retrieval options including graph memory and criteria-based reranking
So agents can…
- Remember user preferences, repo conventions, and prior decisions across sessions
- Pull relevant semantic or episodic context before answering repeated or long-running tasks
- Reduce repetitive prompting by reusing stored implementation notes, troubleshooting history, and project summaries
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