Project comparison

SWE Agent vs Deer Flow

Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

Best matched with other agent tools.

19.9K

Stars

+738

Weekly

72/100

Health

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 minutes to hours.

Best matched with other agent tools.

77.6K

Stars

+10.7K

Weekly

90/100

Health

Quick Take

Adoption

Deer Flow has the larger GitHub footprint with 77.6K stars.

Momentum

Deer Flow is currently growing faster at +10.7K stars this week.

Maintenance

Deer Flow has the stronger automated maintenance signal at 90/100. This is not a security or fit verdict.

Side-by-side evidence

Use these signals to narrow your choice, then confirm setup, license, and fit upstream.

Signal	SWE Agent	Deer Flow
Evidence status	Basic listing· 2026-10-04 09:17 UTC	Basic listing· 2026-10-04 09:18 UTC
GitHub stars	19.9K	77.6K
Weekly growth	+738	+10.7K
Health score	Healthy72/100	Strong90/100
Contributors	101	324
Commits per week	1.8	60.8
Open issues	52	973
Language	Python	Python
License	MIT	MIT
Last commit	2026-07-20 21:55 UTC	2026-07-22 13:31 UTC
Last release	v1.1.0	v2.0.0

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