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.
All repositories
Agent frameworkslangchain-ai
langgraph
A low-level library for agents modelled as a state graph. It gives you long-running flows, saved progress and pauses for human approval.
Who it is for
For developers who need precise control over an agent's flow.
How to start
- Install:
pip install -U langgraph. - Define your graph — state, nodes and edges — from the README example.
- Read the LangGraph docs on docs.langchain.com to add memory and pauses.
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+1,723Sep 6 — Oct 6
Author's description
Build resilient agents.
More in «Agent frameworks»
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.
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.