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Agent Skills as a Memory Layer

Framework for AI agents to build and maintain a digital brain through Obsidian wiki

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

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.

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

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.

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

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

Free system monitor for OSX and macOS. See all system information at a glance in the menu bar.

An open source approach to locally record and enable searching everything you view on your Mac.

The paper list of "Memory in the Age of AI Agents: A Survey"

Research project. A Memory solution for users, teams, and applications.

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

Hardened allocator designed for modern systems. It has integration into Android's Bionic libc and can be used externally with musl and glibc as a dynamic library for use on other Linux-based platforms. It will gain more portability/integration over time.

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

A-MEM: Agentic Memory for LLM Agents

OpenClaw Supermemory lets to have long-term memory and recall for your openclaw agent.

CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems

Stash — persistent memory layer for AI agents. Episodes, facts, and working context stored in Postgres. MCP server included. Self-hosted, single binary, no cloud required.

CheetahClaws: A Fast and Easy-to-Use Agent Harness Infrastructure for Long-Horizon, Multi-Model, and Tool-Using AI Systems

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

local multi-agent harness

Allows to scale the ChatGPT API to multiple simultaneous sessions with infinite contextual and adaptive memory powered by GPT and Redis datastore.

Self-hosted Personal AI + agent runtime in .NET (NativeAOT-friendly)

Allows you to have an engaging and safely emotive spoken / CLI conversation with the AI ChatGPT / GPT-4 while giving you the option to let it remember things discussed.

Open-source memory runtime for AI agents — reproducible, provenance-tagged context bundles instead of query-time retrieval. Apache-2.0, self-hosted on Postgres + pgvector, Python + TypeScript SDKs.

Long-term memory layer for OpenClaw & MoltBook agents that learns and recalls your project context automatically.

Local-first AI memory you can see, edit, and override — portable across Claude Code, Codex, Cursor, Windsurf, and other MCP coding tools.

Persistent session memory for AI coding agents — local-first, with on-device inference, associative recall, and drift detection. Works with Claude Code, Cursor, and Codex.

Self-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.