AI agent skills for Meshy AI 3D generation platform
MCP server for Meshy AI 3D generation platform
File-based message queue for local agent-to-agent communication (Maildir-style)
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.

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.
Independent directory of useful skills, plugins, memory providers, tools, surfaces, and guides for Nous Research's open-source Hermes Agent.
Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules, TODOs, and handoff.
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.
Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.
❤️ Generate mermaid diagram and chart with AI MCP dynamically.
A memory plugin for AI coding that turns engineering experience, repository knowledge, and your way of working into memory that remains useful in future tasks.
Persistent memory for AI coding agents
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
Personal memory across agents
Memory and context manager just works.
The engine powering hundreds of thousands of MCP connections 🤖 🔥