Browse Claude Skill projects under the "agent-memory" topic.
Self-evolving Context Database for AI Agents. Unifies agent memory, resources, and skills.
Personal memory for agents - fast memory retrieval, self-evolving skills, and lower cost.
Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Codex, OpenClaw, Hermes, and more
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.
Lightweight Long-Term Memory for LLM Agents.
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 practi...
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...
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.
memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw
The Enterprise-Ready OpenClaw. Your Proactive AI Assistant That Remembers Everything
LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with Claude Code, OpenClaw, and any CLI agent.
MCP memory server for AI coding assistants. Works with Claude Code, Cursor, Codex, Gemini CLI, Cline, Continue, Cherry Studio, Zed, Hermes, OpenClaw, and any MCP client. Local, encrypted, verbatim recall. MIT.
Portable CC-inspired skills for memory, verification, multi-agent coordination, context compression, and proactive coding-agent workflows.
Local-first identity, memory, and secrets for AI agents. Portable state across models and harnesses.
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.
Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. Works with Claude Code and OpenClaw.
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.