Comparison
deep-research vs deep-searcher
Verdict
Pick deep-research if deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics; 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 · deep-research alternatives · deep-searcher alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | deep-research | deep-searcher |
|---|---|---|
| Maintenance | Slowing (129d since push) As of 4d · github_public_v1 | Slowing (272d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4d · github_public_v1 | Not a fork · Organization account As of 5d · 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
- deep-research
- An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- deep-research
- 20k
- deep-searcher
- 8.1k
Forks
- deep-research
- 2.0k
- deep-searcher
- 775
Open issues
- deep-research
- 93
- deep-searcher
- 53
Language
- deep-research
- TypeScript
- deep-searcher
- Python
Adopt for
- deep-research
- Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and large language models to conduct iterative and in-depth exploration of topics.
- 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
- deep-research
- -
- deep-searcher
- -
Runtime
- deep-research
- -
- deep-searcher
- -
License
- deep-research
- MIT
- deep-searcher
- Apache-2.0
Last pushed
- deep-research
- Apr 11, 2026
- deep-searcher
- Nov 19, 2025
Categories
- deep-research
- AI Agents, Data & Retrieval
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Days since push
- deep-research
- 129d
- deep-searcher
- 272d
Open issues (now)
- deep-research
- 93
- deep-searcher
- 53
Stars delta
- deep-research
- +195 (30d)
- deep-searcher
- +59 (30d)
Open issues delta
- deep-research
- +3 (30d)
- deep-searcher
- 0 (30d)
Owner type
- deep-research
- User
- deep-searcher
- Organization
OSV dependency advisories
- deep-research
- Published findings
- deep-searcher
- No lockfile (source not queried)
Full report
- deep-research
- Trust report
- deep-searcher
- Trust report
Typed relationship
deep-research alternative deep-searcherSimilar to 'deep-research', 'deep-searcher' aims at providing a tool for conducting private data reasoning and searching but is an alternative approach.
Choose deep-research if…
- deep-research is primarily TypeScript; deep-searcher is Python.
- License: deep-research is MIT, deep-searcher is Apache-2.0.
- Requirements: Requires Docker.
- Similar to 'deep-research', 'deep-searcher' aims at providing a tool for conducting private data reasoning and searching but is an alternative approach.
- Tags unique to deep-research: ai, gpt, o3-mini, research.
- Also covers Data & Retrieval.
- When you need a tool that can refine its topic focus over time through repeated iterations.
When NOT to use deep-research
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment.
- If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
Choose deep-searcher if…
- deep-searcher is primarily Python; deep-research is TypeScript.
- License: deep-searcher is Apache-2.0, deep-research is MIT.
- Similar to 'deep-research', 'deep-searcher' aims at providing a tool for conducting private data reasoning and searching but is an alternative approach.
- Tags unique to deep-searcher: agentic-rag, deep-research, llm, 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 (dzhng/deep-research) · observed Aug 19, 2026
- GitHub forks (dzhng/deep-research) · observed Aug 19, 2026
- Last push (dzhng/deep-research) · observed Apr 11, 2026
- License file (MIT) · observed Aug 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: deep-research 20k · deep-searcher 8.1k (synced Aug 19, 2026).
Common questions
- What is the difference between deep-research and deep-searcher?
- deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. 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 deep-research over deep-searcher?
- Choose deep-research over deep-searcher when deep-research is primarily TypeScript; deep-searcher is Python; License: deep-research is MIT, deep-searcher is Apache-2.0; Requirements: Requires Docker; Similar to 'deep-research', 'deep-searcher' aims at providing a tool for conducting private data reasoning and searching but is an alternative approach; Tags unique to deep-research: ai, gpt, o3-mini, research; Also covers Data & Retrieval; When you need a tool that can refine its topic focus over time through repeated iterations.
- When should I choose deep-searcher over deep-research?
- Choose deep-searcher over deep-research when deep-searcher is primarily Python; deep-research is TypeScript; License: deep-searcher is Apache-2.0, deep-research is MIT; Similar to 'deep-research', 'deep-searcher' aims at providing a tool for conducting private data reasoning and searching but is an alternative approach; Tags unique to deep-searcher: agentic-rag, deep-research, llm, 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 deep-research?
- When you prefer a language other than TypeScript, as deep-research specifically requires a Node.js environment. If your use case does not necessitate the use of both Firecrawl and OpenAI APIs, preferring instead solutions with more API flexibility or that do not require API keys.
- 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 deep-research or deep-searcher more popular on GitHub?
- deep-research has more GitHub stars (19,571 vs 8,060). Stars measure visibility, not whether either tool fits your constraints.
- Are deep-research and deep-searcher open source?
- Yes - both are open-source projects on GitHub (deep-research: MIT, deep-searcher: Apache-2.0).
- Where can I find alternatives to deep-research or deep-searcher?
- GraphCanon lists graph-backed alternatives at deep-research alternatives and deep-searcher alternatives (deep-research 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, deep-research or deep-searcher?
- deep-research: 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 deep-research and deep-searcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deep-research trust report; deep-searcher trust report.