Files
ragflow/web
天海蒼灆 3e5b11a523 Feat(browser control):Add new agent component 'browser' to control browser by AI (#14888)
### What problem does this PR solve?
This PR adds a new `Browser` operator to Agent workflows, enabling
prompt-driven browser automation in RAGFlow.Technically based
‘Browser-Use’

It includes:
- Backend browser component execution with tenant LLM integration
- Upload source support (file IDs, URLs, variables, CSV/JSON array)
- Downloaded file persistence to RAGFlow storage
- Frontend node/operator integration, form config, icon, and i18n
updates
- Unit tests for upload/download and ID parsing logic
- Dependency and Docker updates for browser-use runtime support

### Type of change

- [x] New Feature (non-breaking change which adds functionality)
2026-05-21 15:32:32 +08:00
..
2024-11-21 18:14:22 +08:00
2026-01-04 19:14:20 +08:00

Install front-end dependencies

npm install

Launch front-end

npm run dev

The following output confirms a successful launch of the system:

Login to RAGFlow web UI

Open your browser and navigate to:

http://localhost:9222 or http://[YOUR_MACHINE_IP]:9222

Replace [YOUR_MACHINE_IP] with your actual machine IP address (e.g., http://192.168.1.49:9222).

Login to RAGFlow web admin UI

Open your browser and navigate to:

http://localhost:9222/admin or http://[YOUR_MACHINE_IP]:9222/admin

Replace [YOUR_MACHINE_IP] with your actual machine IP address (e.g., http://192.168.1.49:9222/admin).

Shutdown front-end

Ctrl + C or

kill -f "umi dev"