RCI Agent
A MiniWoB++ agent that uses explicit and implicit recursive criticism-and-improvement prompts to refine action plans and ground actions to browser state.
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
- Agents
- Environment
- web
- Topics
- web-navigation, planning, self-reflection, training-free
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-17T09:14:12Z
- Resource ID
- github:posgnu/rci-agent
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 code license; not a license for the remote language-model service.)
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
License review notes
- Code: Repository code license; not a license for the remote language-model service. Source 1
Recorded specifications
- availability
- Public agent and browser-environment source; legacy API compatibility is unverified.
- repository revision
- 31bf737922fa0337d03367a844de5cf1aff4ac52
Explore related topics
Scope and limitations
The public release includes the agent, prompting utilities and a bundled MiniWoB++ environment wrapper. Its README documents older hosted model names and an OpenAI-key setup; contemporary endpoint compatibility was not tested. The repository notes that its MiniWoB++ dependency is not officially supported on Windows. MIT applies to repository code; no new trained weights are claimed.
Related resources
- documented by: Language Models can Solve Computer 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.
- editorial primary review
Retrieved 2026-10-17T09:14:12Z. Supports: name, kind, summary, environments, topics, scope, notes, relations, details.
Content fingerprint
6a101c867546365d21b48527781bd3af324075929067fb465c6105872070f692 - editorial primary review
Retrieved 2026-10-17T09:14:11Z. Supports: identity.
Content fingerprint
b826fc1747a1bbe38a8df8da567a68f79936509c5325ec76a683706118c526f5 - editorial primary review
Retrieved 2026-10-17T09:14:11Z. Supports: release_status.
Content fingerprint
3dcb8cc06679490315f0f3636bb2795e2f717b77d4156ad0bf2429cc36e3273c - editorial primary review
Retrieved 2026-10-17T09:14:12Z. Supports: licenses.code.
Content fingerprint
ffa8b2a603abd9ede8eb686e87c4a433110f1be47d7cc98df4977b7fb2ee72fc
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