📖 The AI Tool Bible

Open Deep Research vs Superpower ChatGPT

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Open Deep Research
Agents
Superpower ChatGPT
Agents
TaglineMinimal open-source deep-research agent that iteratively searches, scrapes, and reasons to produce cited markdown reports.Chrome extension that bolts folders, prompt libraries, and bulk export onto the ChatGPT web UI.
CategoryAgentsAgents
PricingFree· Free (MIT); bring your own Firecrawl + LLM API keysFreemium· Free core features; Pro tier for advanced limits
Modelo3-mini (default), DeepSeek R1, or any OpenAI-compatible modelGPT (via ChatGPT UI)
Editorial score7.2 / 107.0 / 10
Use cases
deep-researchagent-scaffoldingcompetitive-researchliterature-reviewself-hosted-agent
chatgpt-organizationprompt-managementconversation-exportprompt-libraryworkflow-automation
Pros
  • Under 500 lines of TypeScript - easy to read, fork, and customize
  • Works with any OpenAI-compatible endpoint including local LLMs
  • Configurable breadth and depth give precise control over research cost
  • MIT licensed with Docker compose setup included
  • Strong traction (~19k stars) and a Python community port
  • Folders, search, and prompt library that the native ChatGPT UI lacks
  • Bulk export to PDF, Markdown, JSON, and TXT
  • Prompt queue lets you chain sequential prompts unattended
  • Conversation tree map makes branched chats navigable
  • Mature with 100K+ users and active development
Cons
  • No hosted UI - command-line only, you run it yourself
  • Requires paid Firecrawl + LLM API keys to be useful at scale
  • Free Firecrawl tier hits rate limits quickly at default concurrency
  • Output quality depends entirely on the model and Firecrawl plan you bring
  • Only works with ChatGPT, not Claude or Gemini
  • Breaks occasionally when OpenAI ships UI changes
  • Some advanced features gated behind Pro
  • Browser extension means desktop Chrome/Edge only
Websitegithub.comchromewebstore.google.com
Pick Open Deep Research if
  • ✅ Under 500 lines of TypeScript - easy to read, fork, and customize
  • ✅ Works with any OpenAI-compatible endpoint including local LLMs
  • ✅ Configurable breadth and depth give precise control over research cost
  • ✅ MIT licensed with Docker compose setup included
Pick Superpower ChatGPT if
  • ✅ Folders, search, and prompt library that the native ChatGPT UI lacks
  • ✅ Bulk export to PDF, Markdown, JSON, and TXT
  • ✅ Prompt queue lets you chain sequential prompts unattended
  • ✅ Conversation tree map makes branched chats navigable
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