Memory for 24/7 proactive agents like openclaw (moltbot, clawdbot).
AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
Long-term memory OS for your agents across LLMs and platforms.
🧠 Make your agents learn from experience.
Semantica🧠: Open-Source Semantic Layer & Knowledge Engineering Framework for building Explainable, Auditable, and Trustworthy AI Systems — beyond Text Similarity
AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
Memory library for building stateful agents
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.
Survey and paper list on efficiency-guided LLM agents (memory, tool learning, planning).
Shared Memory Storage for Multi-Agent Systems
ai memory for coding
The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.
Simple standalone MCP server giving Claude the ability to remember your conversations and learn from them over time.
A survey of Graph-based Agent Memory | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based agent memory.
Memory and context manager just works.
Agent Skill. The only memory Claude Code needs exists in the file system.
DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.
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