Explore/framework/DeepSWE-Gym
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MoreThought/DeepSWE-GymUnknown

DeepSWE-Gym is a library of simulated environments for training and evaluating AI agents, built on the OpenAI Gym interface.

frameworkHugging Face
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OverviewActivity52wAlternativesDocs
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Last commit
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Project healthUnknownNo activity data.
Production readinessResearch / EarlyBest for exploration and prototyping.
Risk notesUnknown licenseVerify license before production use.
AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
GitHub stars · 0 days observed0 not enough history
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Practical assessment
Should you use it?

✓ Best for

  • Multi-agent orchestration
  • Production agentic workflows
  • Stateful long-running tasks

◎ Strengths

  • Stable API
  • Active release cadence
  • Strong GitHub community

✕ Not ideal for

  • Simple single-step automation
  • Teams without Python/ML expertise

⚠ Watch-outs

  • Breaking changes between minor versions
  • Ecosystem lock-in if tightly coupled
Technical details
What's inside
Language
License
Sourcehf hub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

55
Score 55/100
Below average

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