Catalog

A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.

High performance coding agent harness written in rust

A fast Rust based tool to serialize text-based files in a repository or directory for LLM consumption

Multi-model collaboration workflow engine — one command, /ccg:go, where AI analyzes intent, selects a strategy, and orchestrates Codex + Gemini + Claude to execute collaboratively

[Low-code v2.0, generate an entire system from a single sentence] An enterprise AI low-code platform that generates front-end and back-end code, and even entire systems, with one click. AI Skills draw workflows, design forms, and generate reports and big-screen dashboards from a single sentence. The built-in AI application platform covers AI chat, knowledge bases, workflow orchestration, MCP plugins and more, and is compatible with mainstream large language models. It pioneers an AI low-code development model of "Skills generation → online configuration → code generation → manual merging → AI modification", eliminating 90% of repetitive work in Java projects while improving efficiency without sacrificing flexibility.

Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.

Official Microsoft Learn MCP Server and CLI tool – powering LLMs and AI agents with real-time, trusted Microsoft docs & code samples.

Emdash is the Open-Source Agentic Development Environment (🧡 YC W26). Run multiple coding agents in parallel. Use any provider.

Fetch source code for npm packages to give AI coding agents deeper context

Apache Maka (Incubating) is a high-performance agent workspace that keeps a complete record of everything it did.

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

Build, run, and manage agent platforms.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

Build resilient agents.

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Learn AI Engineering! Learn it. Build it. Ship it for others.

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

The agent engineering platform.