Agent Lightning
The absolute trainer to light up AI agents.
- Status
- Generally available
- Last checked
- Checked · Oct 15, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Agent Lightning is an open-source tool designed to enhance the training and deployment of AI agents. It leverages reinforcement learning and MLOps practices to streamline the development process. Written in Python, it is suitable for developers looking to integrate agentic AI capabilities into their projects. With a robust community of contributors, Agent Lightning offers a flexible and scalable solution for AI agent training. However, it currently has a significant number of open issues, which may affect stability.
Combines reinforcement learning with MLOps for AI agent training.
When it fits — and when it doesn’t
A good fit for
Developers focusing on AI agent training
Leverages reinforcement learning to enhance AI agent capabilities.
Projects requiring MLOps integration
Streamlines MLOps processes for AI development.
Look elsewhere if
Teams needing a mature, stable tool
High number of open issues may affect stability.
Developers using non-Python languages
Primarily supports Python, limiting cross-language compatibility.
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
High number of open issues
158 open issues on GitHub
- 02
Relatively new project
Created in June 2025
What it does well
Strong community support
39 contributors and 17961 stars on GitHub
Open-source with MIT license
Available under MIT license on GitHub
Focus on reinforcement learning
Listed as a topic on GitHub
Pricing
- Free tier
- Yes
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing last confirmed Oct 1, 2026.
Performance benchmarks
How Fast Is It?
Set up Agent Lightning
Setup steps, common gotchas and what to check after 30 days.
Get the badge
A small badge for Agent Lightning’s README or site: its name, “Tracked on AI Navigator”, and the availability status and check month from this page. It updates as the catalog does.
Markdown
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