astron-agent vs langgraph
langgraph is much bigger: 41.1k stars against 8.9k. Over the days we have tracked them astron-agent moved +4.7% and langgraph +19.2%, so langgraph is growing faster right now.
astron-agent leads on customization and privacy and model freedom. langgraph does not take any axis by a clear margin.
Stars and commit dates come from our own daily tracking. The six axes are read off each project's documentation by our review pipeline, so they describe what a project says about itself, not what we measured in its code.
Where they stand today
Enterprise-grade agentic workflow platform with built-in RPA and high-availability focus for production deployments, unlike many prototyping-focused workflow engines.
- Stars
- 8.9k
- Tracked growth
- +4.7%
- Maturity
- ●●●●●
- Last commit
- 4d ago
- Language
- Java
- License
- Apache-2.0
- Cost to run
- Self-hosted (free) with optional Astron Cloud
Provides low-level orchestration for long-running, stateful agents with durable execution and human-in-the-loop capabilities that typical stateless workflow engines do not emphasize.
- Stars
- 41.1k
- Tracked growth
- +19.2%
- Maturity
- ●●●●●
- Last commit
- 1d ago
- Language
- Python
- License
- MIT
- Cost to run
- Free, open-source
Six axes, head to head
Each axis runs 0 to 5. The label under a score is what that project's own docs claim, not a category average.
| Axis | astron-agent | langgraph |
|---|---|---|
Context depth How much of your codebase it sees before it answers: the open diff, the diff plus related files, or the whole repository. | ●●●●● Diff only | ●●●●● Diff only |
Noise control How it keeps output volume down — severity thresholds, deduplication, incremental runs over new commits only. | ●●●●● No explicit controls | ●●●●● None mentioned |
Customization How far it bends to your team: custom rules, prompts, style guides, per-path config. | ●●●●● Custom extensions supported | ●●●●● No config |
Privacy Whether your code stays on your own infrastructure: fully local, self-hostable, or cloud API only. | ●●●●● Self-hostable | ●●●●● Third-party cloud |
Model freedom Whether you can point it at any provider, or it is wired to one. | ●●●●● Bring-your-own models | ●●●●● Fixed provider |
Setup ease What it takes to get a first useful run out of it. | ●●●●● Docker quick start | ●●●●● One-command install |
Which one to pick
Pick astron-agent if…
Enterprise-grade — pick Astron when you need a self-hostable, high-availability agent platform with model management, RPA integration, and extensible integrations for production use.
- Customization: Custom extensions supported (4/5 against 1/5)
- Privacy: Self-hostable (4/5 against 1/5)
- Model freedom: Bring-your-own models (5/5 against 1/5)
Pick langgraph if…
Durable execution — choose LangGraph when you need persistent, stateful agents with human-in-the-loop oversight and production deployment support.
What people want from each one
iflytek/astron-agent
langchain-ai/langgraph
Hacker News: We chose LangGraph to build our coding agent drew 83 points and 20 comments.
Questions people ask
Is astron-agent better than langgraph?
astron-agent leads on customization and privacy and model freedom. langgraph does not take any axis by a clear margin. astron-agent is worth picking when enterprise-grade — pick Astron when you need a self-hostable, high-availability agent platform with model management, RPA integration, and extensible integrations for production use.
Which of astron-agent and langgraph keeps my code private?
astron-agent: Self-hostable (4/5). langgraph: Third-party cloud (1/5).
What does each one cost to run?
astron-agent: Self-hosted (free) with optional Astron Cloud. langgraph: Free, open-source.
Full profiles: iflytek/astron-agent and langchain-ai/langgraph. Everything else in Workflow & graph engines.