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)

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.

Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules, TODOs, and handoff.

All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages

The best-benchmarked open-source AI memory system. And it's free.

Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.

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.

memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw

Personal memory across agents

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

MCP Server to previewing mermaid diagrams with live reload

Connect any AI model to 1200+ integrations (MCP, CLI, API)

a philosophy for talking to AI agents without getting glazed. one trigger, four meanings. /meow.

🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now supports Claude Code, Codex, OpenClaw and Hermes Agent etc.

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

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.

Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync.

MCP Server for Membrane

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.