Head to head

deer-flow vs RagaAI-Catalyst

5 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.

deer-flow

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take. deer-flow is open source, written primarily in Python, released under MIT License. Its repository has 78.2K GitHub stars and 10.7K forks, and was last committed to within the last two weeks.

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RagaAI-Catalyst

Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view

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Differences only

Show all 12 rows
Factdeer-flowRagaAI-Catalyst
GitHub stars78.4K16.1K
Forks10.7K3.6K
Open issues94334
Last commityesterday6 months ago
LicenseMIT LicenseApache 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 deer-flow alternatives.