- name
- omni-research
- description
- Multi-source deep research using your own browser. Queries Perplexity, Grok, and Gemini in parallel via CDP — zero API keys, uses your existing subscriptions.
- metadata
- {"clawdbot":{"emoji":"🔬","requires":{"bins":["python3"],"pip":["httpx","websockets"]}}}
omni-research
Research any topic by querying multiple AI services through your own browser. No API keys — uses your existing Perplexity Pro, X Premium, Gemini Advanced subscriptions.
How It Works
- Connects to your running browser via CDP (Chrome DevTools Protocol)
- Opens parallel tabs to Perplexity, Grok, and Gemini (you're already logged in)
- Submits your query, waits for response, extracts answer from each
- Synthesizes all results into a unified summary
Prerequisites
- Python 3.10+ with
httpxandwebsockets - Chrome, Edge, or any Chromium browser running with CDP:
# Add to your browser shortcut or launch command (one-time)
--remote-debugging-port=9222- Logged into your AI services in the browser
Usage
# All browser sources (Perplexity + Grok + Gemini)
python3 research.py "AIPC market trends 2026"
# Specific sources
python3 research.py --sources perplexity,grok "topic"
# API-only mode (no browser needed)
python3 research.py --sources gemini-api "quick question"
# JSON output
python3 research.py --json "query"Available Sources
| Source | Type | Requires |
|---|---|---|
perplexity | Browser | Perplexity Pro login |
grok | Browser | X Premium / Grok login |
gemini | Browser | Google account login |
gemini-api | API | OpenAI-compatible endpoint |
Configuration
Optional ~/.config/omni-research/config.json:
{
"cdp_port": 9222,
"cliproxy_url": "http://127.0.0.1:8317/v1",
"cliproxy_key": "your-key",
"synthesis_model": "glm-4.7",
"gemini_api_model": "gemini-2.5-flash"
}Architecture
User's Browser (Chrome/Edge/Comet/Arc, CDP :9222)
├── Tab: perplexity.ai → user's Pro session
├── Tab: grok.com → user's Premium session
└── Tab: gemini.google.com → user's Google session
↓ WebSocket (CDP Input.insertText + dispatchKeyEvent)
BrowserBridge (browser.py — httpx + websockets)
↓ ← IrisGo runtime replaces this layer
omni-research skill (parallel query + extract + synthesize)
↓
Markdown output with per-source sections + synthesisFor IrisGo
The BrowserBridge in browser.py is an abstract interface. Current implementation uses direct CDP via WebSocket. IrisGo runtime provides native browser APIs — just swap the bridge layer.
# skill.json requirement
{ "requirements": { "tools": ["browser"] } }