Open-source cognitive coprocessor with active memory for AI agents — persistent recall, semantic search, overnight dreaming, verified facts, encrypted USB sync. MCP server; works with Claude, ChatGPT, and any local LLM. Built by one maker and his agents.
A structural code search engine for Al agents.
lunar.dev: Agent native MCP Gateway for governance and security
Composio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.
Tableau's official MCP Server. Helping agents see and understand data.
The filesystem for AI agents
Share the same project justfile tasks with your AI Coding Agent.
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
One governed graph for AI agents — GraphQL + MCP over your databases, files, APIs, and code
Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.
Shared Memory That Never Forgets — persistent memory for AI agents with Space-based sharing across agents and teams. Plugins for OpenCode, Claude Code, OpenClaw, MCP Server.
SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal
Lightweight Long-Term Memory for LLM Agents.
Turn public X posts, profiles, and search into compact Markdown or JSON for agents. Hosted at x.pcstyle.dev.
A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability
An MCP server that gives your AI agent agentic RAG over your PDFs, one file or a whole folder: hybrid semantic + keyword search, selective page reads, tables, images, OCR, chart data, and multi-column/CJK layouts. The agent decides when to search; pdf-mcp does the retrieval.
Nia is a context-augmentation layer for agents, primarily designed for coding agents. It provides them with an up-to-date knowledge base and improves their performance by 27%.
Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253
🦡 codebadger is a containerized Model Context Protocol (MCP) server that gives AI agents and LLMs deep, queryable access to a codebase's structure and data flow through Joern Code Property Graphs (CPGs).
Full computer-use for AI agents. Self-learning workflows. Native macOS. No screenshots required.
Fast, interruptible verification browser for AI coding agents: 35 ms checks, pixel diffs, live human hand-off
MCP server to provide Figma layout information to AI coding agents like Cursor
Comprehensive MCP server exposing dozens of capabilities to AI agents: multi-provider LLM delegation, browser automation, document processing, vector ops, and cognitive memory systems
Skill librarian MCP server — every installed skill costs tokens; the librarian keeps your whole collection out of agent context. Agents ask, get the few right skills for the task, and their outcomes curate the collection. Fully local: Ollama + SQLite + optional Apple Intelligence.