Self-MAP
A conversational web-agent implementation with candidate ranking and memory-assisted action planning, including optional memory simplification, refinement and self-reflection modules.
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, memory, self-reflection, planning
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-17T12:30:55Z
- Resource ID
- github:magicgh/self-map
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- MIT (Project source LICENSE; separate dataset license is not folded into the code slot.)
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
License review notes
- Code: Project source LICENSE; separate dataset license is not folded into the code slot. Source 1
Recorded specifications
- availability
- Public conversational planning, candidate-generation and training/evaluation source.
- repository revision
- 6cf779682b70dae597626f96dfa5130b202689bc
Explore related topics
Scope and limitations
The source tree provides candidate-generation and action-prediction training/evaluation scripts. Its documented workflow requires separately downloaded MT-Mind2Web data and configured model/API paths. The README cites the ACL publication by DOI; a retained original arXiv abstract explicitly names Self-MAP and MT-Mind2Web and supplies the catalog paper relation without a new bibliography entity. MIT is the code license; the separate data artifact declares CC-BY-4.0.
Related resources
- documented by: On the Multi-turn Instruction Following for Conversational Web Agents
- uses: MT-Mind2Web
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 2026-10-17T12:30:55Z. Supports: name, kind, summary, environments, topics, scope, notes, relations.
Content fingerprint
693197cb807e3ab4d5afda9de35dd51342b4feb18e68b8ccfcdaa370399dbeb3 - editorial primary review
Retrieved 2026-10-17T12:30:54Z. Supports: identity.
Content fingerprint
82c425841c94bf129c4fbd1e70029c581aa1488d5f85cdd23aa0f292092146f0 - editorial primary review
Retrieved 2026-10-17T12:32:05Z. Supports: release_status, details.repository_revision.
Content fingerprint
8d844f227c457321640231ab3a4953457e3c6cfeab8d8f4803f8aa01dc15a8f8 - editorial primary review
Retrieved 2026-10-16T06:36:58Z. Supports: relations.
Content fingerprint
c87e97eb397da04806d53145cf9c13be739fc657bb54dca9318c8c4ed2a36249 - editorial primary review
Retrieved 2026-10-17T12:34:10Z. Supports: licenses.code.
Content fingerprint
f271c479b19a620600d18fc2265224205bf71483b969672d3f6acd9bc552b3f5
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