Open Multi-Agent is a TypeScript AI agent orchestration framework that enables dynamic workflow execution across multiple language models.
The framework addresses the challenge of coordinating complex multi-agent tasks by shifting control flow definition from static graph construction to runtime planning. Rather than pre-defining agent workflows as directed acyclic graphs, developers describe the goal they want to achieve, and a coordinator component plans the task DAG dynamically at execution time. This approach allows workflows to adapt based on intermediate results and changing conditions. The framework can execute these dynamically planned workflows on any supported language model, including Claude, ChatGPT, Gemini, DeepSeek, or local models via Ollama.
Developers should consider this tool if they need flexible, goal-driven agent orchestration rather than rigid predefined workflows. It suits projects where task dependencies cannot be fully determined upfront or where the optimal execution path depends on runtime information. The framework's ability to work with multiple LLM providers offers flexibility in model selection and cost optimization. The README positions it as an alternative to CrewAI and LangGraph, suggesting it targets teams already familiar with those frameworks who want a different approach to workflow definition.
The project shows active development with regular commits across multiple areas of the codebase. Pull requests are reviewed and merged consistently, indicating ongoing maintenance and feature development. The repository maintains documentation and examples alongside the core implementation, suggesting attention to developer experience. Issue tracking appears active with responses to user questions and bug reports.
