Memory
byredaphid
0Enables MCP Clients to remember user information across conversations by leveraging vector search technology.
About
Memory is a robust MCP Server that empowers AI clients like Cursor and Claude with the crucial ability to retain and recall user-specific information across ongoing conversations. It utilizes advanced vector search technology to find relevant memories based on meaning, not just keywords, ensuring a more intelligent and context-aware interaction. Built entirely on Cloudflare's serverless platform, including Workers, D1, Vectorize, Durable Objects, and Workers AI, it offers a scalable, secure, and cost-efficient solution for persistent memory in AI applications.
Key Features
- Isolated memory namespaces for each user's data.
- Built on Cloudflare's serverless stack (Workers, D1, Vectorize, Durable Objects, Workers AI).
- Cost-effective deployment, utilizing Cloudflare's free tiers for normal usage.
- Built-in rate limiting for security and abuse prevention.
- Contextual memory recall using vector search and AI embeddings.
- 0 GitHub stars
Use Cases
- Tracking and leveraging user behaviors for personalized application experiences.
- Providing persistent memory for AI agents and conversational clients.
- Storing and retrieving information for a semantic knowledge base.
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