microsoft/agent-lightning
- Total stars
- 18,527
- Today
- +3
Save to My finds to follow releases and star growth. Saved in this browser.
About the project
A lightweight (~3,500 LOC) reinforcement-learning framework for training AI agents with their real harnesses: agents run unchanged while a proxy gateway captures training data. Includes Kubernetes support and coding-agent training examples.
Useful for
- Train a coding agent on your own repositories and tests via RL
- Run agent rollouts as Kubernetes Jobs without external sandbox services
- Collect a trajectory dataset from agent model calls via the API Gateway
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate. Read the original README →
Star growth looks organic. Data as of September 29, 2026, 10:48 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- 3 stars so far today, about 7 expected by the end of the day.
Measured growth: the last 7 completed days
The full 7-day window is unavailable; no weekly total or comparison is calculated.
Daily measurements · UTC
- October 26, 2026
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- October 27, 2026
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- October 28, 2026
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- October 29, 2026
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- October 30, 2026
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- October 31, 2026
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- November 1, 2026
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Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: September 29, 2026, 10:47 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 18,527
- Today
- +3 stars on 2026-09-29 (UTC), ≈ 7 by evening
- Forks
- 1,648
- Issues and pull requests
- 600
- Watchers
- 86
- Language
- Python
- License
- MIT
- Latest release
- v1.0.2 · September 29, 2026
- Created
- June 18, 2025
- Last push
- September 29, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 19, 2026GitHub Trending Python today: #13, +54 stars
- September 18, 2026GitHub Trending Python today: #13, +70 stars