Head to head

open-multi-agent vs ragflow

6 of 12 recorded facts differ. Everything below is source-reported with a capture date. Niched has not published a buyer verdict for this pair, so nothing here declares a winner. A winner only exists inside a defined buyer niche with stated constraints.

open-multi-agent

TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, DeepSeek, or local models. open-multi-agent is open source, written primarily in TypeScript, released under MIT License. Its repository has 6.7K GitHub stars and 2.4K forks, and was last committed to within the last two weeks. Niched places it in AI agents & autonomous workflows.

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ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

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Differences only

Show all 12 rows

Fact	open-multi-agent	ragflow
GitHub stars	6.7K	86.6K
Forks	2.4K	10.2K
Open issues	6	2K
Last commit	yesterday	today
Primary language	TypeScript	Go
License	MIT License	Apache License 2.0

Where both compete

Both products are placed in AI agents & autonomous workflows. A category organises the market; it carries no score. See all open-multi-agent alternatives.