Browser39: A Headless Web Browser for AI Agents
Browser39 is a headless web browser built specifically for AI agents. It runs locally as a single binary with no dependencies, external browser requirements, or fees.
Core Features
- Converts web pages to token-optimized Markdown locally
- Executes JavaScript
- Manages cookies and sessions
- Queries the DOM
- Fills forms
- Content preselection
- Encrypted session persistence
- Auth profiles that keep credentials out of the LLM context
- DOM queries via CSS selectors and JS expressions
Integration Options
Browser39 offers multiple integration methods:
- MCP (stdio + HTTP) for Claude Desktop, Claude Code, and any MCP client
- JSONL file-based IPC for any language (Python, Node, Rust, shell)
- CLI for one-shot fetch
- OpenClaw Plugin
Installation
For OpenClaw users:
openclaw plugins install https://github.com/alejandroqh/browser39.gitThe tool is available on GitHub at https://github.com/alejandroqh/browser39.
📖 Read the full source: r/openclaw
👀 See Also
Claude Desktop App Adds Projects Feature to Cowork Interface
The Claude desktop app now includes a Projects feature in Cowork, allowing users to organize tasks and context in dedicated workspaces. Files and instructions remain on the user's local computer, with options to import existing projects or start new ones.
Claude Code's Tool API Details Revealed
A Reddit user extracted details about Claude Code's tool API, including file system operations, bash execution, web search, and how tool calls are structured using XML-like blocks.
Anthropic's Multi-Agent Harness Design for Improving Claude's Code Quality
Anthropic's blog post details a harness design using multiple agents to address Claude's context anxiety and self-evaluation bias, with specific agent roles and scoring criteria for frontend and full-stack development.
Octopoda MCP Server Adds Persistent Memory, Loop Detection, and Audit Trails to Claude Code
A developer built Octopoda, an MCP server that integrates with Claude Code to provide persistent memory, loop detection, audit trails, and shared knowledge spaces for AI agents. The system uses PostgreSQL with pgvector for semantic search, FastAPI, and a React dashboard.