{"repo":"agentrhq/webcmd","free":true,"listed":false,"github":"https://github.com/agentrhq/webcmd","clone":"git clone https://github.com/agentrhq/webcmd.git","description":"The Browser Infra that learns and cuts token spend by upto 90%","language":"JavaScript","stars":340,"topics":["browser-automation","cli","ai-agents","browser-use","playwright","self-learning-ai","developer-tools"],"license":"Apache-2.0","category":"scrapers-browser-automation","readme_excerpt":"Webcmd Self-learning browser infra for AI agents. Webcmd learns the navigational context of websites as agents use them, then compiles that knowledge into deterministic commands for faster, cheaper, more reliable browser automation. The goal is simple: stop making agents rediscover the same sites on every run and cut browser-agent token spend by up to 90%. On top of live browser control, Webcmd adds 3 layers of learnings. Each layer collapses cost and variance for the layer above it. Layer Scenario What Webcmd Helps With --- --- --- 0. Live browser control The site is unfamiliar. Use webcmd browser to inspect, click, type, extract, capture network calls, and complete the task in a real browser. 1. Sitemap memory The site is familiar, but the action space is not fully known. Capture an agent-facing sitemap of observed pages, states, actions, workflows, APIs, pitfalls, and fallback paths. 2. CLI authoring The action space is known, but the path is still too variable for one fixed sequence. Explicitly author a reusable webcmd adapter with structured output, so future agents spend tokens on the task instead of navigation. 3. Extend existing CLIs The workflow is deterministic enough to stop browsing. Extend the webcmd adapter with a tailored command so the workflow runs instantly with the least amount of tokens. For local, multi-step browser exploration, agents can send one sandboxed Playwright-style program to an explicit browser session: Profiles are cookie jars; Sessions are in","default_branch":null,"files":null,"tree":[],"storefront":"/r/agentrhq","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/agentrhq/webcmd/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}