Head to head

agent-framework vs deer-flow

3 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.

agent-framework

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET. agent-framework is open source, written primarily in Python, released under MIT License. Its repository has 12.5K GitHub stars and 2.1K forks, and was last committed to within the last two weeks. Niched places it in AI agents & autonomous workflows.

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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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Differences only

Show all 12 rows
Factagent-frameworkdeer-flow
GitHub stars12.5K78.4K
Forks2.1K10.7K
Open issues657943

Where both compete

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