OpenMemory – Make your MCP clients more context-aware
Hey HN, we’re launching OpenMemory (https://github.com/mem0ai/mem0/tree/main/openmemory), an open source tool that lets you run a personal, portable memory layer for LLMs. Fully self-hosted and under your control. It uses standard MCP protocol and plugs into any MCP client (like Cursor, Windsurf, Claude, etc.) over Server-Sent Events (SSE). https://mem0.ai/blog/how-to-make-your-clients-more-context-a... is a complete tutorial that shows how to set it up locally, the underlying components involved, complete overview of architecture and…
What it does
In the maker’s words, at launch
Hey HN, we’re launching OpenMemory (https://github.com/mem0ai/mem0/tree/main/openmemory), an open source tool that lets you run a personal, portable memory layer for LLMs. Fully self-hosted and under your control. It uses standard MCP protocol and plugs into any MCP client (like Cursor, Windsurf, Claude, etc.) over Server-Sent Events (SSE). https://mem0.ai/blog/how-to-make-your-clients-more-context-a... is a complete tutorial that shows how to set it up locally, the underlying components involved, complete overview of architecture and with some real-world use cases with examples. It also explains the basic flow, why the project even matters, security, access control and what's actually happening behind the UI. A couple of months ago, we were experimenting with multi-agent setups using tools like Cursor and Claude, and we kept running into the same issue: Agents starting the conversation from scratch (no context). We wanted something lightweight but powerful, a memory layer that lives locally on your machine, works with any MCP client over SSE, and lets you store, search, and control long-term memory without shipping your data to the cloud. It acts as a middle layer between your LLM-powered client and a vector database, storing and recalling arbitrary chunks of text called “memories” across sessions. Under the hood, it uses Qdrant for semantic search and relevance-based retrieval, while running entirely on your own infrastructure via Docker, Postgres and Qdrant with zero data leaving your system. A built-in Next.js & Redux dashboard lets you inspect which apps are reading or writing memories, along with a full audit trail of state changes. So happy to share learnings and get insights from your experiences. looking forward to comments!
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