Agent Frameworks

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.

  1. 01

    High number of open issues

    158 open issues on GitHub

  2. 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.

Open the setup guide →
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Agent Lightning — tracked on AI Navigator

Markdown

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