Go-Browse

Structured website-exploration and data-processing code that revisits discovered pages, proposes tasks and collects trajectories for web-agent fine-tuning.

AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.

What is this resource?

Resource type

Frameworks

Environment

web

Topics

web-navigation, data-generation, imitation-learning

Record publication date

Not recorded

Evidence retrieved

2026-10-17T02:44:04Z

Resource ID

github:apga/go-browse

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code

MIT (repository LICENSE header; not a weights/data license)

Data

Not recorded

Document

Not recorded

Weights

Not recorded

Explore related topics

Scope and limitations

The release contains exploration agents, data-processing scripts, fine-tuning and WebArena evaluation entry points under MIT. Checkpoints and processed datasets are separate Hub resources with separate license status. The arXiv badge image has an unrelated number; the linked paper and citation consistently identify 2506.03533.

Related resources

• documented by: Go-Browse: Training Web Agents with Structured Exploration

Primary evidence and verification

Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.

1. editorial primary review

   Retrieved 2026-10-17T02:44:04Z. Supports: name, kind, summary, environments, topics, scope, relations.

   Content fingerprint

   0d4b28c993ccb977c7910ff3fecb5de29db364a7a7ad55523c8e052c9bae2566
2. editorial primary review

   Retrieved 2026-10-17T02:44:04Z. Supports: identity.

   Content fingerprint

   b02ec75f69ab8bbebe0d59eeccdcdcacf11a0d6b00bdfe803c692a9d587301e2
3. editorial primary review

   Retrieved 2026-10-17T02:44:04Z. Supports: release_status.

   Content fingerprint

   cd3a40a596ad9ead856973bb31e5b7f7e88a2f60969799c01a2a8a6d09fe3421
4. editorial primary review

   Retrieved 2026-10-17T02:45:20Z. Supports: licenses.code.

   Content fingerprint

   e7107f1e1b3a0c65cbbae6c496d9e71b570025bdddebb3d402a6080dd916bcba
5. license header

   Retrieved 2026-10-17T02:45:20Z. Supports: licenses.code.

   Content fingerprint

   e7107f1e1b3a0c65cbbae6c496d9e71b570025bdddebb3d402a6080dd916bcba

Suggest a correction

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