Universal memory layer for AI Agents
Memray is a memory profiler for Python
SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems
Memory for 24/7 proactive agents like openclaw (moltbot, clawdbot).
Agent S: an open agentic framework that uses computers like a human
An advanced memory forensics framework
AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.
Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-generation autonomous systems.
MS-Agent: a lightweight framework to empower agentic execution of complex tasks
Volatility 3.0 development
🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents
User Profile-Based Long-Term Memory for AI Chatbot Applications.
Public domain cross platform lock free thread caching 16-byte aligned memory allocator implemented in C
Long-term memory OS for your agents across LLMs and platforms.
A production-ready FastAPI template for building AI agent applications with LangGraph integration. This template provides a robust foundation for building scalable, secure, and maintainable AI agent services.
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