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.
The agent that grows with you
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.
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
The engine powering hundreds of thousands of MCP connections 🤖 🔥
Memory server for llms that can be easily integrated to any client.
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.
A Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.
a philosophy for talking to AI agents without getting glazed. one trigger, four meanings. /meow.
A selective learning and memory substrate for agentic systems — typed, revisable, decayable memory with competence learning and trust-aware retrieval.
A persistent local memory for AI, LLMs, or Copilot in VS Code.
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.
An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members.
Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and pgvector
Stop letting your work go unnoticed. Meridian keeps an automatic work journal of what you worked on and what you finished, summarised daily, and automatically drafts your project tickets for you.
Persistent Intelligence Infrastructure for AI Agents
The most powerful MCP Server for Metabase - 111+ tools for AI SQL generation, dashboard automation & enterprise BI. Works with Claude, Cursor, ChatGPT.
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
OWASP Foundation web repository