Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.
Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.
Mnemosyne is a agentic memory and orchestration system designed to provide Claude Code with persistent semantic memory across sessions.
The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.
An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.
Compiles AI agent traces and truns them into reusable context.
Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
Memory and context manager just works.
Durable, searchable memory of your past agent sessions.
Community Repo for Nowledge Labs Products
Lightweight Long-Term Memory for LLM Agents.
Prismer Cloud
memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw
Universal memory runtime for AI agents
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.
Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
Every past session, subagent, and workflow -- queryable by your agent, browsable by you
Your First LLM-Wiki Conversation Knowledge Base
Shared Memory Storage for Multi-Agent Systems
Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
Notes for you, Memory for your agents. / 内置 Deepseek harness Agent / 适用 办公 & 写作 & Coding