A platform where you build agents in a visual builder or by describing them in plain words, then run them on a schedule or a trigger. Hosted version plus free self-hosting.
Agent frameworkslangchain-ai
langchain
The best-known toolkit for LLM apps: one interface to dozens of models, plus tools, chains and agents. You can swap providers without rewriting the app.
Who it is for
For Python developers building LLM apps who want ready-made integrations.
How to start
- Install:
uv add langchain. - Create a model with
init_chat_modelfromlangchain.chat_models(see the README Quickstart). - Open docs.langchain.com to wire in tools and agents.
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
Author's description
The agent engineering platform.
More in «Agent frameworks»
A library that lets an agent drive a browser: open sites, click, fill in forms. Works with a local browser or a cloud one.
A multi-agent framework that plays out a whole software company: product manager, architect and engineer take roles and turn one sentence into a project together.
A memory layer for agents: it remembers facts about the user across sessions and pulls up the right ones at the right moment, keeping context small.
Microsoft's framework for agents that talk to each other. It has the high-level AgentChat API and AutoGen Studio, a no-code graphical interface.
A framework where agents get roles, goals and tasks and work like a small team. The mental model is simple: crew, roles, process.
