에이전트 브라우저: LLM 웹 에이전트 (Python + MCP) 의 경우 HTML보다 최대 98% 적은 토큰

Agentic Browser is an agent-first Python browser built on Playwright/Chromium so LLMs can drive the web with compact observations, stable element refs, and outcome-verified actions ? not raw HTML dumps.

Why it exists

Traditional scrapers hand models 100k+ tokens of markup. Agents need:

1. Small structured observations (roles, labels, refs)
2. Actions that mean success (URL/DOM outcomes)
3. A plug-in for any host (MCP + OpenAI/Anthropic tool schemas)

Measured token efficiency

Scenario Raw HTML Compact observation Reduction Quotes scrape ~2.8k?6.2k ~0.45k?1.3k ~78?84% Rockstar GTA VI landing ~225,000 ~1,300 ~99.4% GitHub vercel/next.js ~110,000 ~1,900 ~98.3%

Features

• Stable refs + scoped grounding
• Outcome verification (e.g. Issues click only OK if URL is /issues)
• Page gates for challenges (detect & report ? not a bypass tool)
• MCP server for Cursor / Claude Desktop
• tools_as_openai() / tools_as_anthropic()
• 118 automated tests; milestones M1?M10

Install

pip install agent-browser
playwright install chromium
agent-browser --help
# MCP
python -m agent_browser.mcp

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Links

• GitHub: https://github.com/applejuice093/Agentic-browser
• Release: https://github.com/applejuice093/Agentic-browser/releases/tag/v0.4.0

MIT ? Python 3.11+