AI Agent Flow: Multi-Agent AI Workflow Orchestrator

AI Agent Flow is an open-source CLI tool designed to orchestrate complex multi-agent AI workflows specifically for software development. It empowers developers to automate the entire software development lifecycle, from initial architecture and coding to review, testing, and shipping, all directly from the terminal.

Key Features:

• Deterministic Pipeline: Unlike traditional agent frameworks that rely on LLM conversations, AI Agent Flow utilizes a Directed Acyclic Graph (DAG) structure. This ensures predictable inputs and locally verifiable outputs, eliminating ambiguous reasoning chains.
• Specialized Agents: The framework employs distinct agents for specific tasks: Architect (plans the development), Coder (writes the code), Reviewer (audits code for bugs and security), and Tester (verifies functionality).
• Local-First by Default: Runs on your machine, ensuring your code, prompts, and traces remain private and secure.
• Framework Agnostic: Supports a wide range of programming languages and frameworks including TypeScript, Python, Rust, Go, React, Vue, Django, and FastAPI.
• Context-Grounded: Integrates Architectural Decision Records (ADRs), API specifications, design system documentation, and Product Requirement Documents (PRDs) as first-class context to minimize hallucinations and improve output fidelity.
• Self-Healing Loops: Automated loops involving Fixer, Tester, and Judge agents resolve most failures without manual intervention.
• Extensible Primitives: Allows for the creation of custom agents in TypeScript, overriding prompts, and plugging in custom tools, validators, and gates.
• Streaming Output: Streams diffs, traces, and tokens live to your terminal.
• Multi-Model Support: Auto-detects and supports models from Anthropic, OpenAI, Gemini, Groq, OpenRouter, and Ollama, allowing for flexible model selection per agent.

AI Agent Flow is built on principles of autonomous engineering, providing a reliable and efficient way to automate software development tasks. It is MIT licensed and actively developed by a community of engineers.