Lagent
A lightweight framework for building LLM-based agents
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Lagent?
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.
Key differentiator
“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.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Officially supports only a few popular LLM models, others require custom implementation
GitHub issues are infrequently addressed; Sparse example projects and tutorials
Fit analysis
Who is it for?
✓ Best 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
✕ Not a fit for
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
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with Lagent
Step-by-step setup guide with code examples and common gotchas.