A Model Context Protocol (MCP) server for Langfuse, enabling AI agents to query Langfuse trace data for enhanced debugging and observability
Agents
Designing, evaluating, and shipping autonomous AI agents.
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Windows tmux alternative for AI agents — split terminals for Claude Code, Codex, Gemini CLI with MCP browser automation. No WSL required.
👨💻 Instructions, prompts, and chat modes to help You with test automation for GitHub Copilot 🤖
The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with...
You're the boss, agents are your team. They handle tasks on their own, message each other, and review each other's work. You just watch the...
🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. Built on the agency-agents role library (216+ experts), zero-code...
🎬 Give AI agents tools to create viral videos. Influence at scale, from your terminal.
Skills, prompts, and instructions for building AI agents on top of Dynatrace production context
QodeX — a local-first LLM agent & AI coding CLI agent for your terminal. Runs local models (Qwen3-Coder via Ollama/LM Studio) with determini...
AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Age...
An MCP server that lets LLM agents play Civilization VI.
Search PubMed/Europe PMC, fetch articles and full text (PMC/EPMC/Unpaywall), citations, MeSH terms via MCP. STDIO or Streamable HTTP.