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Decision brief
Detailed examination of agent-lightning reveals its strong points in model training, specifically its support for reinforcement learning and MLOps.
Good fit when
- When you're dealing with projects that require continuous integration and deployment workflows (CI/CD), as agent-lightning supports MLOps practices which facilitate this.
- If your project involves reinforcement learning tasks or simulation environments where an easy-to-use tool for managing agents is needed.
Avoid when
- Avoid using agent-lightning if you're working in a language other than Python, given that it's only available as a Python package.
- It might not be the best fit for projects where stability over cutting-edge features is prioritized. Its development focus leans towards experimental functionalities, with frequent updates to the Test
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of 1w
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for Microsoft. Display-only - separate from trust and ranking.
- Company
- Microsoft·GitHub org profile·1mo
- Employees
- 221,000·Wikidata (P1128 employees)·1mo
- Commercial model
- Pure OSS·GitHub org profile (public repos)·1mo
Install
pip install agent-lightningHow it fits your stack(6)
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Evidence and technical details
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Overview
A Python-based tool designed for training and operating AI agents, with support for MLOps, reinforcement learning, and more.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Aug 19, 2026
- Languages
- python
Source: github.language+pyproject.toml · Aug 19, 2026
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README
⚡ Installation
The following is an example installation on a CUDA 13.0 machine:
cd <this-repo>
uv sync
bash scripts/setup_verl.sh 0.8.0 cu130
See the Installation Guide for details.
⚡ License
Agent Lightning v1.0 is released under the MIT License.
For agents
This page has a .md twin and JSON over the API.