Deep Dog 2: open-source deep research agent claims to beat Gemini and OpenAI at a fraction of the cost
pizzababa21 · reddit · 2026-09-14
Deep Dog 2 is a fully open-source (MIT license) deep research agent that the author says significantly outperforms Gemini and OpenAI on DeepResearch Bench at a fraction of the cost.
- Setup: one pip command installs it; add API keys to .env (default DeepSeek + Exa), then call runresearch() with a question — it runs async and returns a Markdown report.
- Defaults: DeepSeek V4 Flash handles the supervisor, research sub-agents, and drafting, with Exa for web search.
- Configurable: swap models and search engines; tune enabled agents, research time, iteration limits, search budgets, read limits, and output behavior. Built-in specialist agents include Web, PubMed, Reddit, Substack, SEC Edgar, and arXiv.
- Designed to be modified: developers can add agents, change prompts, swap providers, adjust budgets, or integrate the orchestration layer directly into their own apps.
The author runs no hosted service or business; the only costs are the provider APIs you choose.
Repo: github.com/beneadie/deepdog2
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