A collection of portable agent skills that scrape ML/AI jobs, score them against your profile, and auto-fill Greenhouse applications.
An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
Independent directory of useful skills, plugins, memory providers, tools, surfaces, and guides for Nous Research's open-source Hermes Agent.
Hermes Agent skills and plugins: 350+ tools, memory providers, and guides for Nous Research's agent.
All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages
The agent that grows with you

Metorial MCP Index - An ever growing list of open source MCP servers 📁 🎉
The best-benchmarked open-source AI memory system. And it's free.
A memory system using mem0 for AI applications. Enables long-term memory for AI agents as a drop-in MCP server.
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw
[ICML 2026] Meta Context Engineering via Agentic Skill Evolution
Memory and context manager just works.
The engine powering hundreds of thousands of MCP connections 🤖 🔥
A comprehensive MCP server for Metabase with 70+ tools.
Memory server for llms that can be easily integrated to any client.
The largest open-source medical AI skills library for OpenClaw🦞.
Tracking Claude Code Usage Limits
Source-backed feature comparison of memory systems for AI coding agents. No affiliation, no marketing — just facts from public docs.
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
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.
Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.
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.
Model Context Protocol (MCP) Server to connect your AI with any MediaWiki