OpenHuman Guide
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OpenHuman Native Tools — Browser Control, Web Scraper, Coder Toolset, Cron

OpenHuman ships with a complete set of native tools, ready to use out of the box. No plugins or extensions required.

🔍 Web Search

Built-in web search (via managed backend proxy). The AI can fetch real-time information beyond its training data cutoff.

  • Auto-invokes search engines for results
  • Output compressed via TokenJuice before entering model context
  • Managed backend by default; can configure a custom search API

🌐 Web Scraper

Built-in web fetching tool that converts HTML to structured Markdown for AI analysis.

  • HTTP GET request to any URL
  • Auto-converts HTML to structured Markdown
  • Output passes through TokenJuice compression
  • AI reads and understands web content naturally

🖥️ Browser & Computer Control

OpenHuman can control your browser and desktop for complex interactive tasks.

  • Open pages, click, fill forms, scroll, screenshot
  • Read DOM structure and content
  • Execute JavaScript
  • Simulate human-like mouse movements and keystrokes

Example: "Star this repo on GitHub" → AI opens browser, navigates, clicks the star button.

💻 Coder Toolset

📁 Filesystem

Read/write files, create dirs, move/copy/delete, search file contents

🔗 Git operations

git status, diff, log, commit, push, clone, and more

🧪 Lint & Test

Run ESLint, Prettier formatters and test suites

🔎 Grep

Regex search file contents, codebase-wide pattern matching

⏰ Cron & Scheduling

Built-in cron system. Set scheduled tasks directly from conversation:

  • cron-like syntax for recurring schedules
  • One-shot timer reminders
  • Periodic execution (daily, weekly, monthly)

Example: "Give me an email digest every morning at 9 AM" → AI creates a cron job, executes automatically.

🔁 Memory Tools

AI can read, write, search and manage Memory Tree data:

  • Search historical memories
  • Write new memory entries
  • Organize and link related memories
  • Delete or correct inaccurate memories

👥 Agent Coordination

OpenHuman supports spawning sub-agents for parallel task execution:

  • Main agent delegates subtasks to sub-agents
  • Sub-agents work independently and report back
  • Ideal for complex multi-step workflows

Example: "Analyze this 100-page document — you and another agent each read 50 pages" → parallel execution.

📊 Toolchain Comparison

ToolOpenHumanOpenClawHermes
Web Search✅ Built-in❌ Plugin❌ Plugin
Web Scraper✅ Built-in
Coder tools✅ Built-in✅ Built-in✅ Built-in
Browser control✅ Built-in
Voice✅ Built-in❌ Plugin
Cron/Scheduling✅ Built-in