AI Agent Skills

Two-layer memory system with grep-based recall.

#1 Persistent memory for AI coding agents based on real-world benchmarks

TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

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

Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI

[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

Universal memory layer for AI Agents

OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and…

Build stateful agents with long-term memory

Memory library for building stateful agents

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.

BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support

A local-first AI agent with persistent memory, emotional intelligence, and a peer-to-peer skills economy.