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microsoft / agent-lightning

The absolute trainer to light up AI agents.

Why this job: works in the areas we cover, but does not say which job it does

What it does

  • 3,500 lines of code. We treat simplicity as the first principle.
  • Train with real agent harnesses. Agents interact with the model through the Agent Lightning v1.0 proxy with ZERO changes, while keeping tools, context, control flow, and environments in the loop.
  • Native Kubernetes support. Run agents directly as Kubernetes Jobs without relying on external sandbox services.
  • Full coding agent training example. Using only 6K training samples, an end-to-end Qwen3.5-9B workflow improves SWE-bench Verified from 41.8% to 56.4%, a gain of 14.6 percentage points. We release the full pipeline, including data cleaning,

Get started

cd <this-repo>
uv sync
bash scripts/setup_verl.sh 0.8.0 cu130
Maintenance
Active
Last commit today
Stars
18,947
+43 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v1.0.3
Released 9 days ago
Built with
Python
99% of the code

Is it looked after?

Contributors
24
Last 90 days
Issues
42% closed
117 still open
Pull requests
325 merged
82 waiting
Releases
11
5 in the last year

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More: languages, topics and project record

Languages

  • Python 99%
  • Shell 1%

Topics

  • agent
  • agentic-ai
  • llm
  • mlops
  • reinforcement-learning

Project record

  • JobOther AI tools
  • StatusListed
  • Commits687
  • Forks1,716
  • Watching80
  • Stars in 28 days+259
  • CreatedJun 18, 2025
  • First seen by usNov 7, 2026
  • CheckedNov 12, 2026

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