brocogni

semantic browser observation for AI agents via MCP, 100% local, zero telemetry (by hrshx3o5o6)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better brocogni alternative or higher similarity.

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  • Show HN: Brocogni – MCP server that pre-computes Playwright selectors
    1 project | news.ycombinator.com | 29 Jun 2026
    Hi HN - I built Brocogni because I was frustrated that every time my AI agent wanted to generate a Playwright script, it had to re-learn the page from scratch.

    @playwright/mcp returns ephemeral ref IDs (e5, e10) that expire per session. Great for live agent browsing, but useless for script export. The LLM must re-parse the AX tree and guess selectors — taking 2-3 attempts on average.

    Brocogni pre-computes CSS/XPath/ARIA selectors server-side and embeds them in the observation output. The LLM sees 9 pre-filtered semantic nodes with persistent selectors, not 62-93 raw AX nodes. One-shot script generation.

    We benchmarked the full observe→act→export workflow. PMCP costs $0.04/script across 3 attempts. Brocogni costs $0.01/script in one attempt. 81% savings at scale.

    Check it out here -> https://github.com/hrshx3o5o6/brocogni

    MIT, zero telemetry, no data leaves your machine. Would love feedback.

Stats

Basic brocogni repo stats
1
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8.5
about 1 month ago

hrshx3o5o6/brocogni is an open source project licensed under MIT License which is an OSI approved license.

The primary programming language of brocogni is TypeScript.


Sponsored
Puter.js - The Backend for AI-Generated Apps
One-shot full-stack apps with your existing AI coding tool. Puter.js gives you Auth, Storage, DB, AI & more, with up to 90% fewer AI tokens than other backend platforms.
developer.puter.com

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