[KongchangAI]
Productdeep_dog_2

Deep Dog 2

An open-source deep-research agent that supports dispatching specialized sub-agents across multiple platforms. It features a minimal installation process and cache-friendly execution, and can connect to multiple large-model service providers and search engine APIs.

Timeline (last 90 days)

Sep 12

Deep Dog 2 ranked 5th overall on the DeepResearch Bench evaluation, making it the best-performing open-source solution among those tested.

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Sep 12

Deep Dog 2 is an open-source Deep Research Agent.

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Sep 12

Deep Dog 2 can be installed from its GitHub repository with a single pip command.

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Sep 12

Deep Dog 2 is compatible with both Exa and Tavily search engines.

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Sep 12

Deep Dog 2's default configuration uses the DeepSeek V4 Flash model for the supervisor agent, research sub-agents, and the final drafting stage, with Exa used for retrieval.

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Sep 12

Deep Dog 2 has built-in platform-specific specialized sub-agents, including Web, PubMed, Reddit, Substack, SEC Edgar, and Arxiv.

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Sep 12

Deep Dog 2's research results are returned as Markdown strings.

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Sep 12

An architecture capable of dispatching domain-specific sub-agents has a structural advantage over general web search solutions in multi-source retrieval evaluations.

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Sep 12

Deep Dog 2 is fully free and open-source under the MIT license.

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Sep 12

The author of Deep Dog 2 has explicitly stated that they will not commercialize it or offer a hosted service, and the only potential cost comes from the APIs of the service providers used.

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