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Gives AI agents runtime perception to understand web applications they build.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "reticle" yet — see the docs or source repo.
After an AI generates web app code, developers can use it to let the agent perceive the live interface and reduce misunderstandings caused by code-only reasoning.
When a team needs AI to analyze an application based on its actual page state, it provides runtime perception of the web app.
It gives AI agents runtime perception of web applications. Based on the description, its main purpose is helping agents understand what they built, not just generate code.
It is most relevant for developers and technical teams using AI agents to build or inspect web applications. It is especially useful when AI needs to understand the real runtime result of a frontend.
The provided material does not include installation steps, runtime requirements, or key information. For prerequisites and setup details, see the source repository.
Let AI agents visually test frontend apps with screenshots, clicks, and logs.
Provides an issue tracker for AI coding agents with dependency-aware task dispatch.
Lets AI coding agents test web apps in a real browser autonomously.
Lets agents control a real Chromium browser for web interactions.
Create visual execution plans for AI coding agents with live review and approval.
Give AI coding agents persistent memory across sessions for people, decisions, and context.