MemGUI-Agent
MemGUI-Agent training and offline evaluation tools provide trajectory conversion, LoRA SFT templates, and step-level checks of GUI actions, memory updates and context folding.
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
- android
- Topics
- memory, interaction-history, long-horizon, imitation-learning, evaluation
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-20T03:54:57.854138+00:00
- Resource ID
- github:kwai/memgui-agent
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- Not recorded
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
License review notes
- Code: The README declares Apache-2.0, but the inspected LICENSE is a short notice and link rather than the complete terms; the code license remains unconfirmed. Source 1 Source 2
Recorded specifications
- repository id
- 1278022559
Explore related topics
Scope and limitations
The inspected release documentation describes dataset utilities, a LoRA SFT template and gold-step offline evaluation; live Android rollouts are explicitly outside that evaluator and linked to separate benchmark repositories. Executable source files, external datasets/checkpoints and reported results were not independently verified in this bounded review.
Related resources
- introduced by: MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management
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 2026-10-20T03:54:57.854138+00:00. Supports: name, kind, summary, topics, scope, relations, notes, licenses.code.
Content fingerprint
3f7545f466407ed5336f47d18b12e8354ec352ff83dcf973b1545f81d9a629ac - editorial primary review
Retrieved 2026-10-20T03:55:26.237759+00:00. Supports: summary, environments, topics, scope, notes.
Content fingerprint
4c92c584b6885a3bde8ee89d04ccf48287e7f6119889f75cde0c034c90bd8217 - editorial primary review
Retrieved 2026-10-20T03:55:01.061844+00:00. Supports: licenses.code, notes.
Content fingerprint
d4e344274155be1d0a192c8ae2940169abb0bd8546d045b96b45810593860636 - github repository identity
Retrieved 2026-10-19T19:10:26.954787+00:00. Supports: details.repository_id.
Content fingerprint
0ae4477b885b0915e43874399c2a6b91f7d07954697370204550df931f7db82c
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