FAROS
FAROS is a blueprint-driven automated research runtime for orchestrating AI research workflows from idea generation to paper writing and peer review.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Source
- GitHub
- Added
- 2026-06-19
- Last verified
- 2026-06-19
Overview
FAROS is a blueprint-driven automated research runtime designed to orchestrate the entire AI research workflow—from idea generation and experiment design to paper writing and peer review. It achieves this by defining research workflows, binding configuration files, and running automated research systems. FAROS is not a single fixed AI scientist agent but rather a research workflow runtime built around blueprints, capabilities, configuration files, and providers. The current version primarily supports research workflows in the LLM domain and plans to expand to other domains in the future.
Key features
- ▪Blueprint-driven research workflow orchestration
- ▪Supports the full lifecycle from idea generation to peer review
- ▪Extensible capabilities and provider ecosystem
- ▪Modular API support
Use cases
Pros
- +Highly customizable workflows
- +Supports multiple providers
- +Modular design for easy extension
- +Open-source community support
Limitations / notes
- -Requires some learning curve
- -Does not yet support full DAG scheduling and parallel orchestration
- -Currently limited to the LLM domain
Who it's for
This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.
FAQ
Is FAROS free?
Yes, FAROS is an open-source project and can be used for free.
Which programming languages does FAROS support?
FAROS mainly supports Python and Node.js.
Does FAROS support Chinese?
Documentation and code are primarily in English, but Chinese support can be customized.
Can FAROS be used commercially?
Yes, FAROS is an open-source project and can be used commercially under the license agreement.
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