--- title: "zoom-search vs deep-searcher" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/goofrey-zoom-search-vs-zilliztech-deep-searcher" tools: ["goofrey-zoom-search", "zilliztech-deep-searcher"] --- # zoom-search vs deep-searcher *GraphCanon updated Sep 20, 2026* ## Verdict Pick zoom-search if zoom-search is a Python-based tool for AI agents that supports query rewriting, evidence synthesis, and source citation, designed for deep research and web search tasks; pick deep-searcher if deepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license. [zoom-search](https://pypi.org/project/zoom-search/) reports 4 GitHub stars, 0 forks, and 0 open issues, last pushed Jul 16, 2026. [deep-searcher](https://zilliztech.github.io/deep-searcher/) has 8.1k stars, 775 forks, and 53 open issues, last pushed Nov 19, 2025. Figures are from public GitHub metadata via [zoom-search's repository](https://github.com/goofrey/zoom-search) and [deep-searcher's repository](https://github.com/zilliztech/deep-searcher). | | [zoom-search](/tools/goofrey-zoom-search.md) | [deep-searcher](/tools/zilliztech-deep-searcher.md) | | --- | --- | --- | | Tagline | MCP search and evidence tool for AI agents with query rewriting, source zoom-in, sourced answers, and runtime metrics | Open Source Deep Research Alternative to Reason and Search on Private Data. | | Stars | 4 | 8,060 | | Forks | 0 | 775 | | Open issues | 0 | 53 | | Language | Python | Python | | Adopt for | zoom-search is a Python-based tool for AI agents that supports query rewriting, evidence synthesis, and source citation, designed for deep research and web search tasks. | DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license. | | Persona | - | - | | Runtime | - | - | | License | MIT License | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | AI Agents, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [zoom-search](/tools/goofrey-zoom-search.md) | [deep-searcher](/tools/zilliztech-deep-searcher.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 63d | 272d | | Open issues (now) | 0 | 53 | | Stars delta | Unknown | +59 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/goofrey-zoom-search/trust.md) | [trust report](/tools/zilliztech-deep-searcher/trust.md) | **Typed relationship:** zoom-search _(alternative)_ deep-searcher Both tools are alternatives for deep research and search on private data, but they use different approaches and functionalities. ## Shared compatibility - **Python**: [zoom-search](/tools/goofrey-zoom-search.md) - Python runtime; [deep-searcher](/tools/zilliztech-deep-searcher.md) - Python runtime ## Decision facts: zoom-search - **Pricing:** freemium - Free and open-source under the MIT License. - **Requirements:** Min 2 GB RAM; Install via pip: pip install zoom-search - **Adopt for:** zoom-search is a Python-based tool for AI agents that supports query rewriting, evidence synthesis, and source citation, designed for deep research and web search tasks. - **License detail:** MIT License ## Decision facts: deep-searcher - **Adopt for:** DeepSearcher is an open-source tool for reasoning and searching on private data, using vector databases and LLM integrations in Python under Apache-2.0 license. ## Choose when ### Choose zoom-search if… - License: zoom-search is MIT, deep-searcher is Apache-2.0. - Pricing: Free and open-source under the MIT License.. - Requirements: Min 2 GB RAM; Install via pip: pip install zoom-search. - Both tools are alternatives for deep research and search on private data, but they use different approaches and functionalities. - Tags unique to zoom-search: agent-tools, ai-agents, ai-search, evidence-synthesis. - Also covers Data & Retrieval. - Use zoom-search when you need a tool that can rewrite queries to improve search relevance for AI agents. ### Choose deep-searcher if… - License: deep-searcher is Apache-2.0, zoom-search is MIT. - Both tools are alternatives for deep research and search on private data, but they use different approaches and functionalities. - Tags unique to deep-searcher: agent, agentic-rag, vector-database. - Also covers LLM Frameworks, Vector Databases. - When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3. ## When NOT to use zoom-search - Do not use zoom-search if your project does not require query rewriting or evidence synthesis capabilities. - Avoid zoom-search if your AI agent tasks do not benefit from detailed runtime metrics or if source citation is not a priority. - If your application does not involve deep research or web search tasks, zoom-search may not be the appropriate tool. ## When NOT to use deep-searcher - Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. - Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily. ## Common questions ### What is the difference between zoom-search and deep-searcher? zoom-search: MCP search and evidence tool for AI agents with query rewriting, source zoom-in, sourced answers, and runtime metrics. 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 zoom-search over deep-searcher? Choose zoom-search over deep-searcher when License: zoom-search is MIT, deep-searcher is Apache-2.0; Pricing: Free and open-source under the MIT License.; Requirements: Min 2 GB RAM; Install via pip: pip install zoom-search; Both tools are alternatives for deep research and search on private data, but they use different approaches and functionalities; Tags unique to zoom-search: agent-tools, ai-agents, ai-search, evidence-synthesis; Also covers Data & Retrieval; Use zoom-search when you need a tool that can rewrite queries to improve search relevance for AI agents. ### When should I choose deep-searcher over zoom-search? Choose deep-searcher over zoom-search when License: deep-searcher is Apache-2.0, zoom-search is MIT; Both tools are alternatives for deep research and search on private data, but they use different approaches and functionalities; Tags unique to deep-searcher: agent, agentic-rag, vector-database; Also covers LLM Frameworks, Vector Databases; When you require custom search and reasoning capabilities on your private datasets with integration of multiple LLMs like Claude or Qwen3. ### When should I avoid zoom-search? Do not use zoom-search if your project does not require query rewriting or evidence synthesis capabilities. Avoid zoom-search if your AI agent tasks do not benefit from detailed runtime metrics or if source citation is not a priority. If your application does not involve deep research or web search tasks, zoom-search may not be the appropriate tool. ### When should I avoid deep-searcher? Avoid if your project demands proprietary solutions, as DeepSearcher is open-source and may not be suitable for closed systems. Not ideal when a single vector database suffices; DeepSearcher supports multiple databases which might be overkill and complicate setup unnecessarily. ### Is zoom-search or deep-searcher more popular on GitHub? deep-searcher has more GitHub stars (8,060 vs 4). Stars measure visibility, not whether either tool fits your constraints. ### Are zoom-search and deep-searcher open source? Yes - both are open-source projects on GitHub (zoom-search: MIT, deep-searcher: Apache-2.0). ### Where can I find alternatives to zoom-search or deep-searcher? GraphCanon lists graph-backed alternatives at [zoom-search alternatives](/tools/goofrey-zoom-search/alternatives) and [deep-searcher alternatives](/tools/zilliztech-deep-searcher/alternatives) ([zoom-search markdown twin](/tools/goofrey-zoom-search/alternatives.md), [deep-searcher markdown twin](/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 [this comparison](/compare/goofrey-zoom-search-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, zoom-search or deep-searcher? zoom-search: Steady. 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 zoom-search and deep-searcher? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [zoom-search trust report](/tools/goofrey-zoom-search/trust); [deep-searcher trust report](/tools/zilliztech-deep-searcher/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=goofrey-zoom-search`](/api/graphcanon/graph?tool=goofrey-zoom-search) - 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/_