Agent Frameworks

Lagent

A lightweight framework for building LLM-based agents

Status: Generally available
Last checked: Checked · Oct 11, 2026
License: Open source
Pricing: Free tier · from $0

What it is

Lagent is a lightweight framework designed to simplify the development of large language model-based agents. It provides essential tools and utilities to streamline agent creation, making it easier for developers to integrate AI into their applications.

Lagent stands out as a lightweight and flexible solution for building LLM-based agents, offering ease of integration and minimal overhead compared to more complex frameworks.

When it fits — and when it doesn’t

A good fit for

Teams looking to quickly prototype and deploy LLM-based agents without heavy dependencies
Developers who need a lightweight framework that integrates seamlessly with Python projects

Look elsewhere if

Projects requiring real-time, high-performance agent interactions where latency is critical
Scenarios needing extensive customization beyond what the framework provides out-of-the-box

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

01
Limited third-party integration support
Officially supports only a few popular LLM models, others require custom implementation
02
Small community and limited documentation
GitHub issues are infrequently addressed; Sparse example projects and tutorials

What it does well

Lightweight and easy to integrate into existing projects
Supports a wide range of LLM models for agent development
Flexible configuration options for customizing agent behavior

Pricing

Free tier: YesOpen source — free to use
Paid from: $0
Model: Flat rate
Enterprise plan: No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Lagent

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →

Get the badge

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