🥷 A code-first, strongly-typed build automation system for Deno.

MCPify is an AI enablement compiler that transforms existing applications into AI-native, agent-operable systems.

Runtime intelligence system that makes MCP servers debuggable, testable, and safe to run in production.

Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.

Multi-agent AI orchestration platform for automation, workflows, and developer tools. Golutra transforms Codex, Claude Code, and OpenClaw into a unified agent system with parallel execution, task orchestration, long-running workflows, and AI productivity workspace.

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.

CLI and telemetry system for querying local, CI, and production runtime data.

Software architecture tooling for the AI age

Make your AI coding tools work as one team. Route jobs across Claude, Codex, Cursor, Devin, Gemini, OpenRouter, and local models, carry your setup with them, and track every cost.

Metis is a coding agent that boosts AI/LLM coding performance by 50%

The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai

The design layer for agentic AI — design context, interface checks, and verification for coding agents.

Stealth browser automation that actually works. Runs Camoufox (custom Firefox) in Docker with zero Chrome DevTools Protocol exposure, real OS-level mouse and keyboard input via PyAutoGUI, and a JSON HTTP API + MCP server to control it all remotely. Watch it live via noVNC.

Open-source adversary emulation for AI agents and MCP servers.