AgentsKit vs lagent
JavaScript and Python frameworks for building AI agents
AgentsKit and lagent both provide components for building LLM agents, including tool use and multi-agent workflows. AgentsKit centers on a modular TypeScript ecosystem with multiple UI options, while lagent uses a Python, message-passing design with synchronous and asynchronous components.
AgentsKit: Build Modular AI Agents in JavaScript
AgentsKit is a TypeScript toolkit for building AI agents in JavaScript, from chat interfaces to autonomous runtimes. Its small core and shared contracts connect provider adapters, tools, memory, retrieval, and UI packages.
lagent: Build LLM Agents with a PyTorch-Inspired Framework
InternLM’s Lagent is a lightweight Python framework for building LLM-based agents, using a PyTorch-inspired design for composing agents and message passing. It supports synchronous and asynchronous workflows, tools, memory, and multi-agent applications.
| AgentsKit | lagent | |
|---|---|---|
| Language | TypeScript | Python |
| License | MIT | Apache-2.0 |
| Stars | 36 | 2.3k |
| Forks | 3 | 248 |
| Last analyzed | Oct 20, 2026 | Oct 15, 2026 |
Key differences
- AgentsKit is written in TypeScript for JavaScript applications; lagent is a Python framework for composing agents and model calls.
- AgentsKit spans provider adapters, retrieval, memory, chat interfaces, and optional runtime packages; lagent focuses on agent messages, memory, response parsing, and tool execution.
- AgentsKit offers UI options including React, terminal, Vue, Svelte, Solid, Angular, and React Native; lagent emphasizes customizable message-based workflows and multi-agent applications.
- AgentsKit is MIT-licensed, while lagent is Apache-2.0-licensed.
- AgentsKit identifies its core package as stable and other listed packages as beta; lagent's health data describes it as quiet recently, while also reporting merged pull requests and a release in the last year.
- AgentsKit targets Node.js 20 or later; lagent provides synchronous and asynchronous components for Python workflows.
Choose AgentsKit if you…
- need a TypeScript toolkit that can grow from chat interfaces into an agent stack.
- want provider adapters, retrieval, memory, and UI packages connected by shared contracts.
- are building for React, terminal, or another UI framework supported by AgentsKit.
Choose lagent if you…
- want to build agents in Python using message-based components.
- need synchronous and asynchronous workflows, session memory, and customizable tool execution.
- are composing cooperative agents, such as drafting-and-critique or research workflows.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.