A native desktop application for developing, testing, and debugging Model Context Protocol servers.

The open-source talent graph for humans and AI agents.

Autonomous AI backend for deep research AI applications.

MCP Deep Research Server using Gemini creating a Research AI Agent

Architecture Deep Research: deep research for strategic system design decisions.

DeepBot is a system-level AI assistant built for both personal productivity and enterprise workflows — one-click setup, seamless experience, and native Feishu integration.

A curated, DevOps-focused list of Model Context Protocol (MCP) servers—covering source control, IaC, Kubernetes, CI/CD, cloud, observability, security, and collaboration—with a bias toward maintained, production-ready integrations.

Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.

A Claude Skill to give your agent the ability to use a web browser

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.

Visual UI testing and debugging MCP server with Playwright, screenshots, DOM inspection, workflow validation, and visual diffs.

Easily deploy Haystack pipelines as REST APIs and MCP Tools.

ffprobe for documents — probe PDF, Microsoft Office, and Apple iWork files without opening them. Rust CLI + browser WASM SDK returning structured JSON with confidence, evidence, and measured I/O cost.

Self-hosted AI agent memory server with MCP, evidence provenance, typed claims, conflict detection, embeddings, recall, PostgreSQL, and pgvector

Agent-native PowerPoint manipulation — one CLI lets AI agents inspect, edit, create, and verify .pptx files through atomic JSON patches. Packaged as an Agent Skill.

Cloud Native Agentic AI | Discord: https://bit.ly/kagentdiscord

Agent Skills for working UX designers. Challenge ideas, find blind spots, use the real design system, preserve evidence and decisions, and carry UX intent into engineering.

Minimal Coding Agent Harness on MCP for ChatGPT, Claude, Hermes, Grok Bot, OpenClaw

Agents and skills for building Windows apps with WinUI 3 and the Windows App SDK

MCP server + CLI + Codex/Claude skill for embedded debugging via probe-rs or OpenOCD — ARM Cortex-M, RISC-V, and Xtensa (ESP32), with AI crash diagnosis

Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients

Agent-ready DevOps, security, infrastructure, and compliance knowledge base with 80+ skills across Kubernetes, Terraform, AWS/Azure/GCP, AI platform operations, container hardening, SOC2/ISO27001, and incident response—plus ready-to-run scripts, templates, and playbooks for SRE, platform, and security teams.

A disciplined methodology for AI-assisted software development. Covers architectural constraints, validation hooks, session governance, and PAG (Pattern Abstract Grammar) for structured AI collaboration. Copy claude-setup/ into your project to start.

✨ Agentic chat experience in your terminal. Build applications using natural language.