Explore/framework/code-act
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xingyaoww/code-actAbandoned

Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.

frameworkPythonMIT
GitHubCompare
Refreshed 4d ago
OverviewActivity52wAlternativesDocs
Stars1.7k
Forks138
HF Downloads30d
Last commit2y ago
Refreshed4d ago
Project healthAbandonedNo commits in 24 months.
Production readinessExperimentalGrowing but not yet battle-tested at scale.
Risk notesMITVerify license before production use.
AgentHub Score
72 / 100
Composite score from 6 signals. How we score →
Active project
72Score
Growth
98A+
Activity
30C
Documentation
70C+
Maturity
83B+
Community
95A+
Production
58C
GitHub stars · 90 days1.7k +12.9%
30d90d1y
latest release
Commit activity · 52 weeksActive contributor activity
LowHigh
JunSepDecMarNow
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
LanguagePython
LicenseMIT
Sourcegithub
Open source✗ No
Commercial use
Docs
Demo
Paper

AgentHub Score

72
Score 72/100
Above average

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