This browser agent turns visible page controls into an indexed action space for a natural-language goal. Jev chooses the operation and compatible element in one request; a separate small LLM generates text for TYPE_TEXT.
system1-agents + Jev: System 1 decision models (Jev, Laya
ThinkFlowLab/system1-agents
VerifiedJev applicationDocumented
system1-agents: System 1 decision models (Jev, Laya, Cua-S1) as brain for agents. Explore the Jev references, Python source code and similar projects.
Repository description: System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics
What you can build with it
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/ThinkFlowLab/system1-agents.gitProject facts
- Relationship to Jev
- Jev application
- Evidence
- Documented
- Language
- Python
- License
- Apache-2.0
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-22
- Last code update
- 2026-09-27
- GitHub stars
- 135
- Evidence checked
- Sep 29, 2026
- Metadata checked
- Sep 29, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
Put a Jev key in `.env` (`TYPESAFE_API_KEY` from the [TypeSafe console], or
Evidence commit: 222e656a1a53d7d19c815d8ac66defaad557b1c5
Discovered through: github-search.
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