Dolt – Git for Data

Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.

Memory for 24/7 proactive agents like openclaw (moltbot, clawdbot).

SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems

A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物

AI memory OS for LLM and Agent systems(moltbot,clawdbot,openclaw), enabling persistent Skill memory for cross-task skill reuse and evolution.

Long-term memory for your 24/7 OpenClaw agents across LLMs and platforms.

🧠 Make your agents learn from experience. Now available as a hosted solution at kayba.ai

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

The context backend for AI agents. Durable agent memory you can trust. Build, version, and retrieve grounded context from a context graph.

A Markdown-first memory system, a standalone library for any AI agent. Inspired by OpenClaw.

Semantica 🧠 — A framework for building semantic layers, context graphs, and decision intelligence systems with explainability and provenance.

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。

The Enterprise-Ready OpenClaw. Your Proactive AI Assistant That Remembers Everything

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).

Cross-Agent Memory Bridge Persistent memory for AI coding agents across 10 IDEs (Cursor, Windsurf, Claude Code, Codex, Copilot, Kiro, Antigravity, OpenCode, Trae, Gemini CLI) via MCP. Team collaboration, auto-cleanup, mini-skills, workspace sync. Never re-explain your project again.

A survey of Graph-based Agent Memory | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based agent memory.

Shared Memory Storage for Multi-Agent Systems

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.

Memory and context manager just works.

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 selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.

LaborAny 的初衷，是把强大的 AI Agent 能力从“少数人的命令行工具”变成“每个人都能用的桌面生产力”。它基于 Claude Code CLI 构建，提供可视化任务分发、技能匹配与创建、定时执行和记忆管理，让不会编程的用户也能稳定调用 AI 完成真实工作流。Desktop AI workforce platform built on Claude Code CLI — route tasks, run/create skills, schedule jobs, and work with AI agents without coding.

Agent Skill. The only memory Claude Code needs exists in the file system.

A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.