Comparison
DeepResearch vs deep-searcher
Verdict
Pick DeepResearch if deepResearch is an open-source AI research agent specialized for information-seeking tasks, built with Python and licensed under Apache-2.0; 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 · DeepResearch alternatives · deep-searcher alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | DeepResearch | deep-searcher |
|---|---|---|
| Maintenance | Slowing (141d since push) As of 1mo · github_public_v1 | Slowing (272d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- 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.
Stars
- DeepResearch
- 20k
- deep-searcher
- 8.1k
Forks
- DeepResearch
- 1.5k
- deep-searcher
- 775
Open issues
- DeepResearch
- 92
- deep-searcher
- 53
Language
- DeepResearch
- Python
- deep-searcher
- Python
Adopt for
- DeepResearch
- DeepResearch is an open-source AI research agent specialized for information-seeking tasks, built with Python and licensed under Apache-2.0.
- 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
- DeepResearch
- -
- deep-searcher
- -
Runtime
- DeepResearch
- -
- deep-searcher
- -
License
- DeepResearch
- Apache-2.0
- deep-searcher
- Apache-2.0
Last pushed
- DeepResearch
- Feb 27, 2026
- deep-searcher
- Nov 19, 2025
Categories
- DeepResearch
- AI Agents, Inference & Serving
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Days since push
- DeepResearch
- 141d
- deep-searcher
- 272d
Open issues (now)
- DeepResearch
- 92
- deep-searcher
- 53
Stars delta
- DeepResearch
- Unknown
- deep-searcher
- +59 (30d)
Open issues delta
- DeepResearch
- Unknown
- deep-searcher
- 0 (30d)
OSV dependency advisories
- DeepResearch
- Published findings
- deep-searcher
- No lockfile (source not queried)
Full report
- DeepResearch
- Trust report
- deep-searcher
- Trust report
Typed relationship
DeepResearch alternative deep-searcherDeep Searcher and DeepResearch both perform open-source deep research tasks, potentially differing in their feature sets or community support.
Shared compatibility
- Python · DeepResearch: Python runtime · deep-searcher: Python runtime
Choose DeepResearch if…
- Deep Searcher and DeepResearch both perform open-source deep research tasks, potentially differing in their feature sets or community support.
- Tags unique to DeepResearch: alibaba, artificial-intelligence, web-agent.
- Also covers Inference & Serving.
- When you need a tool backed by Alibaba’s ecosystem that offers a robust environment for conducting deep research using AI techniques.
When NOT to use DeepResearch
- Avoid DeepResearch if you require specialized features that are not covered under its deep research and information-seeking scope.
- Do not use this tool if your project necessitates proprietary solutions, as the open-source nature might be a constraint in such scenarios.
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: agentic-rag, vector-database.
- Also covers LLM Frameworks, Vector Databases.
- deep-searcher ships Docker support for self-hosted deployment.
- 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 (Alibaba-NLP/DeepResearch) · observed Jul 19, 2026
- GitHub forks (Alibaba-NLP/DeepResearch) · observed Jul 19, 2026
- Last push (Alibaba-NLP/DeepResearch) · observed Feb 27, 2026
- License file (Apache-2.0) · observed Jul 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/deep-searcher) · observed Aug 18, 2026
- GitHub forks (zilliztech/deep-searcher) · observed Aug 18, 2026
- Last push (zilliztech/deep-searcher) · observed Nov 19, 2025
- License file (Apache-2.0) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: DeepResearch 20k · deep-searcher 8.1k (synced Jul 19, 2026).
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 Deep Searcher and DeepResearch both perform open-source deep research tasks, potentially differing in their feature sets or community support; Tags unique to DeepResearch: alibaba, artificial-intelligence, web-agent; Also covers Inference & Serving; When you need a tool backed by Alibaba’s ecosystem that offers a robust environment for conducting deep research using AI techniques.
- 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: agentic-rag, vector-database; Also covers LLM Frameworks, Vector Databases; deep-searcher ships Docker support for self-hosted deployment; 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 DeepResearch?
- Avoid DeepResearch if you require specialized features that are not covered under its deep research and information-seeking scope. Do not use this tool if your project necessitates proprietary solutions, as the open-source nature might be a constraint in such scenarios.
- 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 DeepResearch or deep-searcher more popular on GitHub?
- DeepResearch has more GitHub stars (19,685 vs 8,060). 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 DeepResearch alternatives and deep-searcher alternatives (DeepResearch 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, 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 trust report; deep-searcher trust report.