Agentic Browser - Model-Agnostic Web Automation
The Open Agent Browser Extension Powered by Python & MCP
Mission: Build an intelligent browser agent that doesn’t just understand the web — it acts on it. Fully model-agnostic, privacy-respecting, and BYOKeys-ready.
Overview
Agentic Browser is a next-generation browser extension powered by a Python MCP (Model Context Protocol) server that bridges modern LLM reasoning with real browser interactivity.
Unlike typical AI assistants, this agent:
- Understands complex web content via real-time DOM inspection.
- Takes actions such as filling forms, navigating, comparing data, and executing custom scripts.
- Adapts to any model backend — OpenAI, Anthropic, Ollama, local LLaMA, Mistral, and more.
Architecture
Key Principles
- Model-Agnostic: Seamlessly switch between LLM providers (OpenAI, Anthropic, Ollama, LM Studio).
- BYOKeys: Full privacy. Your keys, your local context, no vendor lock-in.
- MCP-Compliant: Leverages the Model Context Protocol for secure, structured tool interaction.
- Safe Execution: Declarative action system with mandatory user approval for browser operations.
Technical Stack
Monorepo Layout
clients/
browser-extension/ # WXT browser extension client
debug-web/ # Vite debug dashboard client
telegram-bot/ # Future Python Telegram client
agents/
core/
mcp_server/
models/
routers/
services/
main.py # Root Python backend entrypoint
pyproject.toml # Root Python package metadata
pnpm-workspace.yaml # Frontend workspace definition
Workspace Commands
pnpm install
pnpm dev:debug
pnpm dev:extension
pnpm build:debug
pnpm build:extension
The Python backend stays at the repository root and is still managed through pyproject.toml and uv.lock.
Slash Commands & Tools
Roadmap
- Offline Mode: Local embedding-based RAG using lightweight models - Gemma 4 uncensored
- Light Mode: For Presemtation
- Skills: Open Skill Support for stuff like PPT and XLSX
- Grpaph RAG: For important documents like Resume and Gmail mails
- Memory System: To have persistant Memory and other relevant Facts
- Github Integration: Right its leading to Context rott so need shit with proper tool call and all will use Pi (hopefully)
- While True: Tool called Orgestrated model for the agent.
- Telegram / External Chat Support: use to ask question plus options to switch context or something or atleasr a standalone app for this shit
- Computer Use: Use computer also instead of just the browser
- Website / Native App: To use it beyond tradition browser usecases
- Form Filling / Browser Action: To take actions till the time shit is not resolved - Infinite Loop
- Multi Modal: Image support
- Remote Actions: from phone
- Playwrite: To take actions from the app itself
- Compaction: adding compaction for long chats
- Model Blending: Reasoning pipelines that utilize multiple models for verification.
- Visual Debugger: Real-time DOM element highlighting during agent actions.
