AI Agent Skills

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.

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

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

Universal memory layer for AI Agents

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

Hermes Agent memory plugin/provider for scope-aware recall, SQLite truth, LanceDB semantic search, and hybrid retrieval.

The collaboration layer for your AI workforce. Run a team of AI agents that coordinate over email, share memory, and get better with every task.

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building de…

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Open-source AI coworker, with memory

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deplo…

Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.

Agent Skills as a Memory Layer