Plan-and-Act

A web-agent framework that separates high-level planning from action execution, with replanning and synthetic planner-data generation components.

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

planning, web-navigation, data-generation

Record publication date

Not recorded

Evidence retrieved

2026-10-17T02:02:06Z

Resource ID

github:squeezeailab/plan-and-act

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

Runnable entry points, framework modules and synthetic-data tooling are published. The repository code declares MIT; separate model and dataset cards have their own declarations. Its setup targets WebArena-Lite and requires that external environment.

Related resources

• documented by: Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks

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 2026-10-17T02:02:06Z. Supports: name, kind, summary, environments, topics, scope, relations.

   Content fingerprint

   feee31aa4d0801cb364578099a13e4f9cdcaa4eb5fbf4312b3fc3f8edd479a14
2. editorial primary review

   Retrieved 2026-10-17T02:02:05Z. Supports: identity.

   Content fingerprint

   eada6ee9aa180f55daca059c5e7a4922b320cccb0514864108eba9040b52415c
3. editorial primary review

   Retrieved 2026-10-17T02:02:05Z. Supports: release_status.

   Content fingerprint

   10ff0a1c1abe25454541949fdaac1869d68b5d4426fbb5ef1d487657afcd26f5
4. editorial primary review

   Retrieved 2026-10-17T02:02:15Z. Supports: licenses.code.

   Content fingerprint

   f86e78202a51ab013e1cc47ba37386134601317f5a0c4e4ed287981b52159122
5. license header

   Retrieved 2026-10-17T02:02:15Z. Supports: licenses.code.

   Content fingerprint

   f86e78202a51ab013e1cc47ba37386134601317f5a0c4e4ed287981b52159122

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