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ai-memory

https://github.com/topoteretes/cognee Deterministic LLMs Outputs for AI Applications and AI Agents

🔧🔗https://github.com/mem0ai/mem0 Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.

AGI Memory

https://github.com/QuixiAI/agi-memory A sophisticated database design for Artificial General Intelligence (AGI) memory management, implementing multiple types of memory storage and retrieval mechanisms inspired by human cognitive architecture.

🔧🔗https://github.com/nbursa/sentience

Experimental AI-native programming language designed around memory and contextual agents.

OpenAPI MCP Server

🔧🔗https://git.tomfos.tr/tom/openapi-mcp-server MCP server to provide OpenAPI-flavour tools to an Open WebUI instance

🔧🔗https://github.com/modelscope/MemoryScope

Equip your LLM chatbot with a powerful and flexible long term memory system.

🔧🔗https://github.com/harishsg993010/HawkinsDB Building smarter LLM applications isn't just about better models - it's about better memory. HawkinsDB is our take on giving AI systems a more human-like way to store and recall information, inspired by how our own brains work. Based on Jeff Hawkins' Thousand Brains Theory, it helps AI models manage complex information in a way that's both powerful and intuitive.

🔧🔗https://github.com/Yuchen20/Memory-Plus 🧠 𝑴𝒆𝒎𝒐𝒓𝒚-𝑷𝒍𝒖𝒔 is a lightweight, local RAG memory store for MCP agents. Easily record, retrieve, update, delete, and visualize persistent "memories" across sessions—perfect for developers working with multiple AI coders (like Windsurf, Cursor, or Copilot) or anyone who wants their AI to actually remember them.