Frameworks

PC-Agent-E training and deployment

Tools for refining and augmenting human computer-use trajectories, preparing supervised training data, and deploying a native PC-Agent-E scaffold.

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

Original source ↗Read as Markdown Record JSON

What is this resource?

Resource type: Frameworks
Environment: desktop, windows, linux
Topics: data-generation, imitation-learning, automation
Record publication date: Not recorded
Evidence retrieved: 2026-10-18T04:27:13Z
Resource ID: github:gair-nlp/pc-agent-e

What licenses are recorded?

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

Code: MIT (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: 9b1b00b907b99a4a8dbfc9c01ea49010878dfbd6
repository url: https://github.com/GAIR-NLP/PC-Agent-E

Explore related topics

Data generation Imitation learning Automation

Scope and limitations

README demonstrates Windows and Linux operation and describes thought completion and trajectory augmentation. The released source tree contains postprocess, train and deploy code. The checkpoint, data archive and WindowsAgentArena-V2 are separate resources; external model APIs and a training framework are required.

Related resources

documented by: Efficient Agent Training for Computer Use

Primary evidence and verification

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

editorial primary review
Retrieved 2026-10-18T04:27:13Z. Supports: name, kind, summary, environments, topics, scope, notes, relations.
Content fingerprint
3ffb8c843c6acb8c2d5bbba11ba49d6b36cd566553a89974b6252a2bfd289d5d
editorial primary review
Retrieved 2026-10-17T15:37:01Z. Supports: identity.
Content fingerprint
30761141ea62c5f20183f359bbc3fc8ccc5b458886d38c5426bae4802a23ee0b
editorial primary review
Retrieved 2026-10-18T04:25:23Z. Supports: identity, release_status, details.repository_tree_sha.
Content fingerprint
2fb2aa4ee6f02ccadb631dab4972f96c3fdf545cd92c5854fc191e81cf4ae88a
editorial primary review
Retrieved 2026-10-18T04:35:19Z. Supports: licenses.code.
Content fingerprint
39e37b84c067596361c491e2e9e22af8805386a24b8352b87e9aca3bddf4f92c

Suggest a correction

Open a source-backed correction. Include this record ID and the original source. Read our editorial policy and coverage boundaries.