Comparison
DocsGPT vs deep-research
Verdict
Pick DocsGPT if docsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities; 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.
Markdown twin · DocsGPT alternatives · deep-research alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | DocsGPT | deep-research |
|---|---|---|
| Maintenance | Very active (0d since push) As of 6d · github_public_v1 | Slowing (129d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Personal account As of 2d · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 | Published findings 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
- DocsGPT
- Private AI platform for agents, assistants and enterprise search.
- deep-research
- An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.
Stars
- DocsGPT
- 18k
- deep-research
- 20k
Forks
- DocsGPT
- 2.1k
- deep-research
- 2.0k
Open issues
- DocsGPT
- 96
- deep-research
- 93
Language
- DocsGPT
- Python
- deep-research
- TypeScript
Adopt for
- DocsGPT
- DocsGPT is a private AI platform tailored for building agents, conducting deep research, and enabling enterprise search capabilities.
- 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.
Persona
- DocsGPT
- -
- deep-research
- -
Runtime
- DocsGPT
- -
- deep-research
- -
License
- DocsGPT
- MIT License - Permits free use for commercial or non-commercial purposes but requires you to include the license text if distributing source code.
- deep-research
- MIT
Last pushed
- DocsGPT
- Aug 14, 2026
- deep-research
- Apr 11, 2026
Categories
- DocsGPT
- AI Agents, Data & Retrieval
- deep-research
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- DocsGPT
- Very active (96%)
- deep-research
- Slowing (36%)
Days since push
- DocsGPT
- 0d
- deep-research
- 129d
Open issues (now)
- DocsGPT
- 96
- deep-research
- 93
Stars delta
- DocsGPT
- +223 (30d)
- deep-research
- +195 (30d)
Open issues delta
- DocsGPT
- +4 (30d)
- deep-research
- +3 (30d)
Owner type
- DocsGPT
- Organization
- deep-research
- User
OSV dependency advisories
- DocsGPT
- No published findings from this source as of 2026-07-11
- deep-research
- Published findings
Full report
- DocsGPT
- Trust report
- deep-research
- Trust report
Choose DocsGPT if…
- DocsGPT is primarily Python; deep-research is TypeScript.
- Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based..
- Tags unique to DocsGPT: agent-builder, agents, chatgpt, docsgpt.
- When you need to build custom AI agents with built-in agent builder capability
When NOT to use DocsGPT
- If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT
- When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI
- For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities
Choose deep-research if…
- deep-research is primarily TypeScript; DocsGPT is Python.
- Requirements: Requires Docker.
- Tags unique to deep-research: agent, gpt, o3-mini, research.
- deep-research ships Docker support for self-hosted deployment.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (arc53/DocsGPT) · observed Aug 15, 2026
- GitHub forks (arc53/DocsGPT) · observed Aug 15, 2026
- Last push (arc53/DocsGPT) · observed Aug 14, 2026
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: DocsGPT 18k · deep-research 20k (synced Aug 15, 2026).
Common questions
- What is the difference between DocsGPT and deep-research?
- DocsGPT: Private AI platform for agents, assistants and enterprise search.. deep-research: An AI-powered research assistant that refines its topic focus over time using search engines, web scraping, and large language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose DocsGPT over deep-research?
- Choose DocsGPT over deep-research when DocsGPT is primarily Python; deep-research is TypeScript; Requirements: DocsGPT is built using Python and PyTorch, requiring familiarity with these technologies. It supports a wide variety of models but may need customization based.; Tags unique to DocsGPT: agent-builder, agents, chatgpt, docsgpt; When you need to build custom AI agents with built-in agent builder capability.
- When should I choose deep-research over DocsGPT?
- Choose deep-research over DocsGPT when deep-research is primarily TypeScript; DocsGPT is Python; Requirements: Requires Docker; Tags unique to deep-research: agent, gpt, o3-mini, research; deep-research ships Docker support for self-hosted deployment; When you need a tool that can refine its topic focus over time through repeated iterations.
- When should I avoid DocsGPT?
- If your project relies on open-source tools that are not compatible with the specific ecosystem of DocsGPT When you specifically require real-time collaboration features directly integrated into the tool, as DocsGPT focuses more on agent building and research capabilities rather than live collaborative AI For projects where a significant emphasis is placed on user-facing search interfaces, as DocsGPT's strength lies more in backend integration and deep research functionalities
- 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.
- Is DocsGPT or deep-research more popular on GitHub?
- deep-research has more GitHub stars (19,571 vs 18,216). Stars measure visibility, not whether either tool fits your constraints.
- Are DocsGPT and deep-research open source?
- Yes - both are open-source projects on GitHub (DocsGPT: MIT, deep-research: MIT).
- Where can I find alternatives to DocsGPT or deep-research?
- GraphCanon lists graph-backed alternatives at DocsGPT alternatives and deep-research alternatives (DocsGPT markdown twin, deep-research 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, DocsGPT or deep-research?
- DocsGPT: Very active. deep-research: 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 DocsGPT and deep-research?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DocsGPT trust report; deep-research trust report.