Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Build resilient agents.
| Date | Stars |
|---|---|
| 2026-07-24 | 38056 |
| 2026-07-25 | 38119 |
| 2026-07-28 | 38119 |
| 2026-07-30 | 38119 |
| 2026-07-31 | 38573 |
| 2026-08-01 | 38632 |
| 2026-08-02 | 38702 |
| 2026-08-03 | 38748 |
| 2026-08-04 | 38826 |
| 2026-08-05 | 38974 |
| 2026-08-06 | 39014 |
| 2026-08-07 | 39054 |
| 2026-08-08 | 39147 |
| 2026-08-09 | 39245 |
| 2026-08-10 | 39357 |
| 2026-08-11 | 39386 |
| 2026-08-12 | 39471 |
| 2026-08-13 | 39551 |
| 2026-08-14 | 39636 |
| 2026-08-15 | 39693 |
| 2026-08-16 | 39750 |
| 2026-08-17 | 39814 |
| 2026-08-18 | 39928 |
| 2026-08-19 | 40008 |
| 2026-08-20 | 40090 |
| 2026-08-21 | 40162 |
| 2026-08-22 | 40224 |
| 2026-08-23 | 40272 |
| 2026-08-24 | 40345 |
| 2026-08-25 | 40418 |
| 2026-08-26 | 40482 |
| 2026-08-27 | 40543 |
| 2026-08-28 | 40614 |
| 2026-08-29 | 40652 |
| 2026-08-30 | 40703 |
| 2026-08-31 | 40776 |
| 2026-09-01 | 40847 |
| 2026-09-02 | 40913 |
| 2026-09-03 | 40985 |
| 2026-09-04 | 41043 |
| 2026-09-05 | 41081 |
| 2026-09-06 | 41124 |
| 2026-09-07 | 41174 |
| 2026-09-08 | 41254 |
| 2026-09-09 | 41314 |
| 2026-09-10 | 41380 |
| 2026-09-11 | 41456 |
| 2026-09-12 | 41516 |
| 2026-09-13 | 41556 |
| 2026-09-14 | 41617 |
| 2026-09-15 | 41688 |
| 2026-09-16 | 41755 |
| 2026-09-17 | 41818 |
| 2026-09-18 | 41878 |
| 2026-09-19 | 41926 |
| 2026-09-20 | 42003 |
Today
+77 stars today
This week
+447 stars this week
This month
+1.8k stars this month
Momentum
790.0
growth rate 1.08%/day
<div align="center">
<a href="https://www.langchain.com/langgraph">
<picture>
<source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
<source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
<img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
</a>
</div>
<div align="center">
<h3>Low-level orchestration framework for building stateful agents.</h3>
</div>
<div align="center">
<a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
<a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
<a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
<a href="https://x.com/langchain_oss" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
</div>
<br>
Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
```bash
pip install -U langgraph
```
> [!TIP]
> If you're looking to quickly build agents, check out **[Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview)** — a higher-level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks.
For an equivalent JS/TS library, check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
## Why use LangGraph?
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent:
- **[Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution)** — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- **[Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts)** — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- **[Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory)** — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- **[Debugging with LangSmith](https://www.langchain.com/langsmith)** — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- **[Production-ready deployment](https://docs.langchain.com/langsmith/deployments)** — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
> [!TIP]
> For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
## LangGraph ecosystem
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents.
To improve your LLM application development, pair LangGraph with:
- [Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
- [LangSmith](https://www.langchain.com/langsmith) – Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate ageExcerpt of 6,351 characters
Read on GitHub
Nuno Campos · @witanlabs · United Kingdom
2.3k
William FH · LangChain
800
Vadym Barda · United States
783
David Duong · Czech Republic
526
Eugene Yurtsev · @langchain-ai · United States
380
Sydney Runkle · @langchain-ai · Morocco
322
312
Andrew Nguonly · United States
134
Harrison Chase
108
Isaac Francisco
108
Lauren Hirata Singh
91
Lance Martin
91
ccurme
88
Brace Sproul · @langchain-ai
76
71
Mason Daugherty · United States
58
Sam Crowder · Harvard · United States
54
Nick Hollon
52
Jacob Lee · @langchain-ai · United States
39
Asamu David · @langchain-ai · United Kingdom
34
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c83b676a62767775, topic:ai-agents, topic:agents, topic:langgraph