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Comparison

DeepResearch vs khoj

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 khoj if khoj is a self-hosted AI assistant that supports integration with multiple LLMs, enabling users to build custom agents and conduct deep research using both web and local documents.

Markdown twin · DeepResearch alternatives · khoj alternatives

GraphCanon updated Sep 20, 2026

7views this month

DeepResearch logo

DeepResearch

Alibaba-NLP/DeepResearch

★ 20kpushed Feb 27, 2026
vs
khoj logo

khoj

khoj-ai/khoj

★ 37kpushed Aug 2, 2026

Trust & integrity

SignalDeepResearchkhoj
Maintenance
Slowing (172d since push)
As of Aug 19, 2026 · github_public_v1
Steady (47d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Aug 19, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 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

DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
khoj
Self-hostable AI second brain for personalized research and automation

Stars

DeepResearch
20k
khoj
37k

Forks

DeepResearch
1.5k
khoj
2.5k

Open issues

DeepResearch
92
khoj
150

Language

DeepResearch
Python
khoj
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.
khoj
Khoj is a self-hosted AI assistant that supports integration with multiple LLMs, enabling users to build custom agents and conduct deep research using both web and local documents.

Persona

DeepResearch
-
khoj
-

Runtime

DeepResearch
-
khoj
-

License

DeepResearch
Apache-2.0
khoj
Khoj is licensed under AGPL-3.0, which means it is free to use, modify, and distribute, but any derivative works must also be released under the same license.

Last pushed

DeepResearch
Feb 27, 2026
khoj
Aug 2, 2026

Categories

DeepResearch
AI Agents, Inference & Serving
khoj
AI Agents, Data & Retrieval, Developer Tools, Inference & Serving, Model Training

Trust and health

Maintenance

DeepResearch
Slowing (36%)
khoj
Steady (60%)

Days since push

DeepResearch
172d
khoj
47d

Open issues (now)

DeepResearch
92
khoj
150

Stars delta

DeepResearch
+161 (30d)
khoj
+887 (30d)

Open issues delta

DeepResearch
0 (30d)
khoj
+17 (30d)

OSV dependency advisories

DeepResearch
Published findings
khoj
No lockfile (source not queried)

Full report

DeepResearch
Trust report

Choose DeepResearch if…

  • License: DeepResearch is Apache-2.0, khoj is AGPL-3.0.
  • Tags unique to DeepResearch: alibaba, artificial-intelligence, deep-research, llm.
  • 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 khoj if…

  • License: khoj is AGPL-3.0, DeepResearch is Apache-2.0.
  • Pricing: Khoj is free to use, but users may incur costs related to hosting and the LLMs they choose to integrate..
  • Requirements: Min 4 GB RAM; Requires Docker; Khoj requires Docker for setup and operation.; Users must have a Python environment and the necessary dependencies installed..
  • Tags unique to khoj: ai, assistant, chat, chatgpt.
  • Also covers Data & Retrieval, Developer Tools, Model Training.
  • khoj ships Docker support for self-hosted deployment.
  • When you need a self-hosted solution for personalized research and automation that can integrate with a variety of LLMs, including GPT, Claude, Gemini, LLaMA, Qwen, and Mistral.

When NOT to use khoj

  • If you are looking for a cloud-based service without the need for self-hosting, Khoj may not be the best fit.
  • Khoj might not be ideal if you are seeking a tool that does not support a wide range of LLMs and requires a more specialized integration.
  • If your research and automation needs are simple and do not require deep integration with local documents or web sources, a more straightforward tool might be more appropriate.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: DeepResearch 20k · khoj 37k (synced Sep 20, 2026).

Common questions

What is the difference between DeepResearch and khoj?
DeepResearch: Tongyi Deep Research, the Leading Open-source Deep Research Agent. khoj: Self-hostable AI second brain for personalized research and automation. See the comparison table for live GitHub stats and shared categories.
When should I choose DeepResearch over khoj?
Choose DeepResearch over khoj when License: DeepResearch is Apache-2.0, khoj is AGPL-3.0; Tags unique to DeepResearch: alibaba, artificial-intelligence, deep-research, llm; 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 khoj over DeepResearch?
Choose khoj over DeepResearch when License: khoj is AGPL-3.0, DeepResearch is Apache-2.0; Pricing: Khoj is free to use, but users may incur costs related to hosting and the LLMs they choose to integrate.; Requirements: Min 4 GB RAM; Requires Docker; Khoj requires Docker for setup and operation.; Users must have a Python environment and the necessary dependencies installed.; Tags unique to khoj: ai, assistant, chat, chatgpt; Also covers Data & Retrieval, Developer Tools, Model Training; khoj ships Docker support for self-hosted deployment; When you need a self-hosted solution for personalized research and automation that can integrate with a variety of LLMs, including GPT, Claude, Gemini, LLaMA, Qwen, and Mistral.
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 khoj?
If you are looking for a cloud-based service without the need for self-hosting, Khoj may not be the best fit. Khoj might not be ideal if you are seeking a tool that does not support a wide range of LLMs and requires a more specialized integration. If your research and automation needs are simple and do not require deep integration with local documents or web sources, a more straightforward tool might be more appropriate.
Is DeepResearch or khoj more popular on GitHub?
khoj has more GitHub stars (37,399 vs 19,846). Stars measure visibility, not whether either tool fits your constraints.
Are DeepResearch and khoj open source?
Yes - both are open-source projects on GitHub (DeepResearch: Apache-2.0, khoj: AGPL-3.0).
Where can I find alternatives to DeepResearch or khoj?
GraphCanon lists graph-backed alternatives at DeepResearch alternatives and khoj alternatives (DeepResearch markdown twin, khoj 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 khoj?
DeepResearch: Slowing. khoj: Steady. 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 khoj?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DeepResearch trust report; khoj trust report.

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