Comparison
zoom-search vs deep-searcher
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.
Markdown twin · zoom-search alternatives · deep-searcher alternatives
GraphCanon updated Sep 20, 2026
5views this month
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Trust & integrity
| Signal | zoom-search | deep-searcher |
|---|---|---|
| Maintenance | Steady (63d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (272d since push) As of Aug 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Aug 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 20, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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.
Stars
- zoom-search
- 4
- deep-searcher
- 8.1k
Forks
- zoom-search
- 0
- deep-searcher
- 775
Open issues
- zoom-search
- 0
- deep-searcher
- 53
Language
- zoom-search
- Python
- deep-searcher
- Python
Adopt for
- zoom-search
- 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.
- deep-searcher
- 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
- zoom-search
- -
- deep-searcher
- -
Runtime
- zoom-search
- -
- deep-searcher
- -
License
- zoom-search
- MIT License
- deep-searcher
- Apache-2.0
Last pushed
- zoom-search
- Jul 16, 2026
- deep-searcher
- Nov 19, 2025
Categories
- zoom-search
- AI Agents, Data & Retrieval
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- zoom-search
- Steady (60%)
- deep-searcher
- Slowing (36%)
Days since push
- zoom-search
- 63d
- deep-searcher
- 272d
Open issues (now)
- zoom-search
- 0
- deep-searcher
- 53
Stars delta
- zoom-search
- Unknown
- deep-searcher
- +59 (30d)
Open issues delta
- zoom-search
- Unknown
- deep-searcher
- 0 (30d)
Owner type
- zoom-search
- User
- deep-searcher
- Organization
Full report
- zoom-search
- Trust report
- deep-searcher
- Trust report
Typed relationship
zoom-search alternative deep-searcherBoth tools are alternatives for deep research and search on private data, but they use different approaches and functionalities.
Shared compatibility
- Python · zoom-search: Python runtime · deep-searcher: Python runtime
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (goofrey/zoom-search) · observed Sep 18, 2026
- GitHub forks (goofrey/zoom-search) · observed Sep 18, 2026
- Last push (goofrey/zoom-search) · observed Jul 16, 2026
- License file (MIT) · observed Sep 18, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 20, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Sep 19, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Sep 19, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: zoom-search 4 · deep-searcher 8.1k (synced Sep 18, 2026).
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 and deep-searcher alternatives (zoom-search markdown twin, deep-searcher markdown twin), 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 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; deep-searcher trust report.