Memory for 24/7 proactive agents like openclaw (moltbot, clawdbot).
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Updated
Feb 18, 2026 - Python
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.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Semantica 🧠 — A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.
A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.
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
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。
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
Survey and paper list on efficiency-guided LLM agents (memory, tool learning, planning).
Shared Memory Storage for Multi-Agent Systems
A survey of Graph-based Agent Memory | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based agent memory.
Memory for AI that works like yours—local, instant, persistent. 13x faster than Pinecone, 5x leaner than RAG. Finds what RAG misses. Zero cloud, zero cost.
ai memory for coding
Cognitive brain for Claude, AI agents & edge devices — learns with use, runs offline, single binary. Neuroscience-grounded 3-tier architecture with Hebbian learning.
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.
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