AgentSynth task-generation pipeline

Generates synthetic computer-use tasks and records trajectories in OSWorld desktop environments and InSTA browser environments.

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

desktop, web

Topics

data-generation, long-horizon, automation

Record publication date

Not recorded

Evidence retrieved

2026-10-18T04:27:12Z

Resource ID

github:sunblaze-ucb/agentsynth

What licenses are recorded?

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

Code

Apache-2.0 (Reviewed repository license declaration for code; third-party dependencies, data, weights and executable environment images are separate.)

Data

Not recorded

Document

Not recorded

Weights

Not recorded

License review notes

• Code: Reviewed repository license declaration for code; third-party dependencies, data, weights and executable environment images are separate. Source 1

Recorded specifications

repository tree sha

cd42a4bd158fe3f0a1b0f376b9428d6a5fcb81b2

repository url

https://github.com/sunblaze-ucb/AgentSynth

Explore related topics

Scope and limitations

Released code includes task-generation and training-format conversion scripts. OSWorld/InSTA environments and model services require separate setup; the repository is not a bundled VM or model checkpoint. Code and the separately published dataset have distinct license declarations.

Related resources

• documented by: AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents

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 2026-10-18T04:27:12Z. Supports: name, kind, summary, environments, topics, scope, notes, relations.

   Content fingerprint

   42e8b8dead7caea3f8b21e93a075e8c895dfc30a25e1470bf97a90940bbf0106
2. editorial primary review

   Retrieved 2026-10-17T15:37:00Z. Supports: identity.

   Content fingerprint

   e08f08a99b8cb3a4bb857a9fac976b2820f9ad406d66675b0286e880dfeeceaa
3. editorial primary review

   Retrieved 2026-10-18T04:25:20Z. Supports: identity, release_status, details.repository_tree_sha.

   Content fingerprint

   b0998652a9b6b465444c2bbeef015bdbef50e83984a3bd15725f0e811645ca62
4. editorial primary review

   Retrieved 2026-10-18T04:35:19Z. Supports: licenses.code.

   Content fingerprint

   c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4

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