DeepWorm 🐁

AI deep research tool that searches the web, reads sources, and synthesizes findings into comprehensive reports.

Quick Start

pip install deepworm

Set up an API key (choose one)

# Option 1: OpenAI
export OPENAI_API_KEY="sk-..."

# Option 2: Google Gemini
export GOOGLE_API_KEY="AIza..."

# Option 3: Anthropic Claude
export ANTHROPIC_API_KEY="sk-ant..."

Run a research

deepworm "what are the latest advances in quantum computing?"

That's it. DeepWorm will:

1. Search the web for relevant sources
2. Read and analyze each source
3. Generate followup questions
4. Go deeper recursively
5. Produce a final report with citations

Command Line Options

# Control research depth
deepworm "topic" --depth 3 --breadth 5

# Save report to file
deepworm "topic" --output report.md

# Choose provider
deepworm "topic" --provider google

# Compare topics
deepworm compare "Python" "Rust"

# Interactive mode
deepworm interactive

# See all options
deepworm --help

Python API

from deepworm import Researcher

researcher = Researcher(provider="openai")
result = researcher.research("your topic")
print(result.report)

Supported Providers

Configuration

Create deepworm.yaml in your project root:

provider: google
model: gemini-pro
depth: 3
breadth: 5
output_dir: ./reports

Key Features

• Multi-provider LLM support (OpenAI, Google, Anthropic, Ollama)
• Recursive deep research with configurable depth and breadth
• Markdown reports with citations and source links
• Comparison mode for side-by-side analysis
• Research chains for multi-step investigations
• Built-in retry and rate limiting
• DuckDuckGo search (no API key needed for search)
• Interactive mode for exploratory research
• Research history and caching
• Template system for repeatable research
• Rich terminal output with progress tracking
• Extensible plugin system

License

MIT