--- title: "DeepResearch vs deep-searcher" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaba-nlp-deepresearch-vs-zilliztech-deep-searcher" tools: ["alibaba-nlp-deepresearch", "zilliztech-deep-searcher"] --- # DeepResearch vs deep-searcher Neutral, constraint-first comparison with live GitHub stats. | | [DeepResearch](/tools/alibaba-nlp-deepresearch.md) | [deep-searcher](/tools/zilliztech-deep-searcher.md) | | --- | --- | --- | | Tagline | Tongyi Deep Research, the Leading Open-source Deep Research Agent | Open Source Deep Research Alternative to Reason and Search on Private Data | | Stars | 19,621 | 7,934 | | Forks | 1,500 | 767 | | Open issues | 91 | 53 | | Language | Python | Python | | Adopt for | DeepResearch is an agentic large language model designed with a focus on long-horizon, deep information-seeking tasks, making it particularly suitable for users needing advanced search capabilities. It comes with 30.5B+3 | DeepSearcher is an open-source tool that combines advanced large language models (LLMs) and vector databases to perform search, evaluation, and reasoning based on private data. It provides enterprise knowledge management | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | LLM Frameworks, AI Agents | Data & Retrieval, Vector Databases, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DeepResearch](/tools/alibaba-nlp-deepresearch.md) | [deep-searcher](/tools/zilliztech-deep-searcher.md) | | --- | --- | --- | | Days since push | 130d | 231d | | Open issues (now) | 91 | 53 | | Security scan | 104 low (104 low) | No lockfile | | Full report | [trust report](/tools/alibaba-nlp-deepresearch/trust.md) | [trust report](/tools/zilliztech-deep-searcher/trust.md) | **Typed relationship:** DeepResearch _(alternative)_ deep-searcher Deep Searcher and DeepResearch both perform open-source deep research tasks, potentially differing in their feature sets or community support. ## Decision facts: DeepResearch - **Pricing:** unknown - No specific pricing info provided; deployment could vary depending on your cloud service provider or if you self-host on local servers. - **Requirements:** Min 16 GB RAM; Requires substantial computational resources due to its size and complexity.; Recommended for users with access to robust hardware infrastructure, either through cloud services like Aliyun's Bailian or local deployment. - **Adopt for:** DeepResearch is an agentic large language model designed with a focus on long-horizon, deep information-seeking tasks, making it particularly suitable for users needing advanced search capabilities. It comes with 30.5B+3 ## Decision facts: deep-searcher - **Adopt for:** DeepSearcher is an open-source tool that combines advanced large language models (LLMs) and vector databases to perform search, evaluation, and reasoning based on private data. It provides enterprise knowledge management ## Choose when ### Choose DeepResearch if… - Pricing: No specific pricing info provided; deployment could vary depending on your cloud service provider or if you self-host on local servers.. - Requirements: Min 16 GB RAM; Requires substantial computational resources due to its size and complexity.; Recommended for users with access to robust hardware infrastructure, either through cloud services like Aliyun's Bailian or local deployment.. - Deep Searcher and DeepResearch both perform open-source deep research tasks, potentially differing in their feature sets or community support. - Tags unique to DeepResearch: artificial-intelligence, alibaba, web-agent. - Also covers LLM Frameworks. - When you need to perform sophisticated long-term horizon tasks that require in-depth information seeking. ### Choose deep-searcher if… - Deep Searcher and DeepResearch both perform open-source deep research tasks, potentially differing in their feature sets or community support. - Tags unique to deep-searcher: openai, claude, agentic-rag, milvus. - Also covers Data & Retrieval, Vector Databases. - deep-searcher ships Docker support for self-hosted deployment. - - **When you need a flexible embedding option**: DeepSearcher supports multiple embedding models like Milvus for optimal selection. ## When NOT to use DeepResearch - Avoid using it for tasks requiring quick responses as it might suffer from slower response times due to its complex architecture designed for deep information-seeking. - Not suitable for less demanding or simpler tasks where smaller and more efficient models can perform adequately without the overhead of DeepResearch's extensive capability. ## When NOT to use deep-searcher - - **If you require real-time web content integration only**: DeepSearcher primarily focuses on local/private data. Online content integration is possible but not its core functionality. - - **When strict API dependency avoidance is needed**: DeepSearcher often relies on specific APIs (e.g., OpenAI) for LLM services, which might be a constraint in environments strictly avoiding third-党 ## Common questions ### What is the difference between DeepResearch and deep-searcher? DeepResearch: Tongyi Deep Research, the Leading Open-source Deep Research Agent. deep-searcher: Open Source Deep Research Alternative to Reason and Search on Private Data. See the comparison table for live GitHub stats and shared categories. ### When should I choose DeepResearch over deep-searcher? Choose DeepResearch over deep-searcher when Pricing: No specific pricing info provided; deployment could vary depending on your cloud service provider or if you self-host on local servers.; Requirements: Min 16 GB RAM; Requires substantial computational resources due to its size and complexity.; Recommended for users with access to robust hardware infrastructure, either through cloud services like Aliyun's Bailian or local deployment.; Deep Searcher and DeepResearch both perform open-source deep research tasks, potentially differing in their feature sets or community support; Tags unique to DeepResearch: artificial-intelligence, alibaba, web-agent; Also covers LLM Frameworks; When you need to perform sophisticated long-term horizon tasks that require in-depth information seeking. ### When should I choose deep-searcher over DeepResearch? Choose deep-searcher over DeepResearch when Deep Searcher and DeepResearch both perform open-source deep research tasks, potentially differing in their feature sets or community support; Tags unique to deep-searcher: openai, claude, agentic-rag, milvus; Also covers Data & Retrieval, Vector Databases; deep-searcher ships Docker support for self-hosted deployment; - **When you need a flexible embedding option**: DeepSearcher supports multiple embedding models like Milvus for optimal selection. ### When should I avoid DeepResearch? Avoid using it for tasks requiring quick responses as it might suffer from slower response times due to its complex architecture designed for deep information-seeking. Not suitable for less demanding or simpler tasks where smaller and more efficient models can perform adequately without the overhead of DeepResearch's extensive capability. ### When should I avoid deep-searcher? - **If you require real-time web content integration only**: DeepSearcher primarily focuses on local/private data. Online content integration is possible but not its core functionality. - **When strict API dependency avoidance is needed**: DeepSearcher often relies on specific APIs (e.g., OpenAI) for LLM services, which might be a constraint in environments strictly avoiding third-党 ### Is DeepResearch or deep-searcher more popular on GitHub? DeepResearch has more GitHub stars (19,621 vs 7,934). Stars measure visibility, not whether either tool fits your constraints. ### Are DeepResearch and deep-searcher open source? Yes - both are open-source projects on GitHub (DeepResearch: Apache-2.0, deep-searcher: Apache-2.0). ### Where can I find alternatives to DeepResearch or deep-searcher? GraphCanon lists graph-backed alternatives at /tools/alibaba-nlp-deepresearch/alternatives and /tools/zilliztech-deep-searcher/alternatives (/tools/alibaba-nlp-deepresearch/alternatives.md, /tools/zilliztech-deep-searcher/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/alibaba-nlp-deepresearch-vs-zilliztech-deep-searcher.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, DeepResearch or deep-searcher? DeepResearch: Slowing. deep-searcher: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for DeepResearch and deep-searcher? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepResearch: /tools/alibaba-nlp-deepresearch/trust; deep-searcher: /tools/zilliztech-deep-searcher/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alibaba-nlp-deepresearch`](/api/graphcanon/graph?tool=alibaba-nlp-deepresearch) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_