Comparison
gpt-researcher vs deep-searcher
Verdict
Pick gpt-researcher if gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill; 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 · gpt-researcher alternatives · deep-searcher alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | gpt-researcher | deep-searcher |
|---|---|---|
| Maintenance | Active (21d since push) As of 2w · github_public_v1 | Slowing (272d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 4d · 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
- gpt-researcher
- An autonomous agent that conducts deep research using LLM providers
- deep-searcher
- Open Source Deep Research Alternative to Reason and Search on Private Data.
Stars
- gpt-researcher
- 29k
- deep-searcher
- 8.1k
Forks
- gpt-researcher
- 3.9k
- deep-searcher
- 775
Open issues
- gpt-researcher
- 192
- deep-searcher
- 53
Language
- gpt-researcher
- Python
- deep-searcher
- Python
Adopt for
- gpt-researcher
- gpt-researcher is an autonomous agent that uses Language Model Providers to conduct deep research automatically, supporting various installation methods including Docker and deployment as a Claude Skill.
- 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
- gpt-researcher
- -
- deep-searcher
- -
Runtime
- gpt-researcher
- -
- deep-searcher
- -
License
- gpt-researcher
- Apache-2.0
- deep-searcher
- Apache-2.0
Last pushed
- gpt-researcher
- Jul 18, 2026
- deep-searcher
- Nov 19, 2025
Categories
- gpt-researcher
- AI Agents, Data & Retrieval
- deep-searcher
- AI Agents, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- gpt-researcher
- Active (82%)
- deep-searcher
- Slowing (36%)
Days since push
- gpt-researcher
- 21d
- deep-searcher
- 272d
Open issues (now)
- gpt-researcher
- 192
- deep-searcher
- 53
Stars delta
- gpt-researcher
- +737 (30d)
- deep-searcher
- +59 (30d)
Open issues delta
- gpt-researcher
- -18 (30d)
- deep-searcher
- 0 (30d)
Owner type
- gpt-researcher
- User
- deep-searcher
- Organization
OSV dependency advisories
- gpt-researcher
- Published findings
- deep-searcher
- No lockfile (source not queried)
Full report
- gpt-researcher
- Trust report
- deep-searcher
- Trust report
Typed relationship
gpt-researcher alternative deep-searcherDeep Searcher and GPT Researcher offer similar functionalities for deep research tasks. They are both aimed at conducting thorough investigations on a given topic but may differ in implementation.
Shared compatibility
- Python · gpt-researcher: Python runtime · deep-searcher: Python runtime
Choose gpt-researcher if…
- Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their.
- Deep Searcher and GPT Researcher offer similar functionalities for deep research tasks. They are both aimed at conducting thorough investigations on a given topic but may differ in implementation.
- Tags unique to gpt-researcher: ai, automation, deepresearch, llms.
- Also covers Data & Retrieval.
- - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
When NOT to use gpt-researcher
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills.
- - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
Choose deep-searcher if…
- Deep Searcher and GPT Researcher offer similar functionalities for deep research tasks. They are both aimed at conducting thorough investigations on a given topic but may differ in implementation.
- 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 (assafelovic/gpt-researcher) · observed Aug 8, 2026
- GitHub forks (assafelovic/gpt-researcher) · observed Aug 8, 2026
- Last push (assafelovic/gpt-researcher) · observed Jul 18, 2026
- License file (Apache-2.0) · observed Aug 8, 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: gpt-researcher 29k · deep-searcher 8.1k (synced Aug 8, 2026).
Common questions
- What is the difference between gpt-researcher and deep-searcher?
- gpt-researcher: An autonomous agent that conducts deep research using LLM providers. 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 gpt-researcher over deep-searcher?
- Choose gpt-researcher over deep-searcher when Pricing: The core functionality of gpt-researcher under Apache-2.0 license is free to use, however, users need API keys from external Language Model Providers like OpenAI and Tavily, which are subject to their; Deep Searcher and GPT Researcher offer similar functionalities for deep research tasks. They are both aimed at conducting thorough investigations on a given topic but may differ in implementation; Tags unique to gpt-researcher: ai, automation, deepresearch, llms; Also covers Data & Retrieval; - When you require automated in-depth research capabilities across diverse LLM providers like OpenAI and Tavily.
- When should I choose deep-searcher over gpt-researcher?
- Choose deep-searcher over gpt-researcher when Deep Searcher and GPT Researcher offer similar functionalities for deep research tasks. They are both aimed at conducting thorough investigations on a given topic but may differ in implementation; 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 gpt-researcher?
- - If your setup strictly adheres to a specific tool that does not support the extension of capabilities through skills like Claude Skills. - In scenarios with stringent network restrictions where running an autonomous agent on top of various LLM providers is prohibited or poses security risks.
- 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 gpt-researcher or deep-searcher more popular on GitHub?
- gpt-researcher has more GitHub stars (28,883 vs 8,060). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt-researcher and deep-searcher open source?
- Yes - both are open-source projects on GitHub (gpt-researcher: Apache-2.0, deep-searcher: Apache-2.0).
- Where can I find alternatives to gpt-researcher or deep-searcher?
- GraphCanon lists graph-backed alternatives at gpt-researcher alternatives and deep-searcher alternatives (gpt-researcher 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, gpt-researcher or deep-searcher?
- gpt-researcher: Active. 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 gpt-researcher and deep-searcher?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt-researcher trust report; deep-searcher trust report.