agentscope
Build and run agents you can see, understand and trust.
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agentscope vs deer-flow
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.
Visit ↗Differences only
Show all 12 rows| Fact | agentscope | deer-flow |
|---|---|---|
| GitHub stars | 28.5K | 78.7K |
| Forks | 3.3K | 10.7K |
| Open issues | 319 | 938 |
| Last commit | yesterday | today |
| License | Apache License 2.0 | MIT License |
Where both compete
Both products are placed in AI agents & autonomous workflows. A category organises the market; it carries no score. See all agentscope alternatives.