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Comparison

khoj vs onyx

Verdict

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; pick onyx if onyx is an open-source AI platform that supports AI chat functionalities with advanced features, suitable for deployment in various environments including Docker, Kubernetes, and cloud providers.

Markdown twin · khoj alternatives · onyx alternatives

GraphCanon updated Sep 20, 2026

13views this month

khoj logo

khoj

khoj-ai/khoj

★ 37kpushed Aug 2, 2026
vs
onyx logo

onyx

onyx-dot-app/onyx

★ 32kpushed Sep 18, 2026

Trust & integrity

Signalkhojonyx
Maintenance
Steady (47d since push)
As of Sep 18, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 20, 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
khoj trust reportonyx trust reportTrust methodology

Tagline

khoj
Self-hostable AI second brain for personalized research and automation
onyx
Open Source AI Platform - AI Chat with advanced features that works with every LLM

Stars

khoj
37k
onyx
32k

Forks

khoj
2.5k
onyx
4.5k

Open issues

khoj
150
onyx
470

Language

khoj
Python
onyx
Python

Adopt for

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.
onyx
Onyx is an open-source AI platform that supports AI chat functionalities with advanced features, suitable for deployment in various environments including Docker, Kubernetes, and cloud providers. It offers both Lite and,

Persona

khoj
-
onyx
-

Runtime

khoj
-
onyx
-

License

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.
onyx
Onyx is available in two editions: Community Edition (CE) under the MIT license, which covers core features, and Enterprise Edition (EE) with additional features for larger organizations.

Last pushed

khoj
Aug 2, 2026
onyx
Sep 18, 2026

Categories

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

Trust and health

Maintenance

khoj
Steady (60%)
onyx
Very active (96%)

Days since push

khoj
47d
onyx
0d

Open issues (now)

khoj
150
onyx
470

Stars delta

khoj
+887 (30d)
onyx
+536 (30d)

Open issues delta

khoj
+17 (30d)
onyx
+69 (30d)

Full report

khoj
Trust report
onyx
Trust report

Typed relationship

khoj alternative onyxBoth Onyx and Khoj serve as AI platforms that integrate with multiple LLMs to provide an 'AI second brain' experience for users. These tools solve the same problem but are built differently.

Choose khoj if…

  • License: khoj is AGPL-3.0, onyx is Other.
  • 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..
  • Both Onyx and Khoj serve as AI platforms that integrate with multiple LLMs to provide an 'AI second brain' experience for users. These tools solve the same problem but are built differently.
  • Tags unique to khoj: agent, ai, assistant, chat.
  • 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.
GitHubDetails

Choose onyx if…

  • License: onyx is Other, khoj is AGPL-3.0.
  • Pricing: Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription..
  • Requirements: Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features..
  • Both Onyx and Khoj serve as AI platforms that integrate with multiple LLMs to provide an 'AI second brain' experience for users. These tools solve the same problem but are built differently.
  • Tags unique to onyx: ai-chat, chatui, enterprise-search, gen-ai.
  • use Onyx when you need a platform that supports both lightweight and full-featured deployments, including vector and keyword indexing, and performance optimizations for large-scale use.

When NOT to use onyx

  • avoid Onyx if you are looking for a platform that requires minimal setup and resource usage beyond what the Lite mode offers.
  • do not use Onyx if your project does not benefit from vector and keyword indexing, AI model inference servers, or performance optimizations, as these features are only available in the Standard mode.
GitHubDetails

Explore

khoj trust report →onyx trust report →AI Agents category →Data & Retrieval category →Developer Tools category →Inference & Serving category →Model Training category →All comparisonsStack workflowsTrending tools

Sources

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

GitHub stars on cards: khoj 37k · onyx 32k (synced Sep 20, 2026).

Common questions

What is the difference between khoj and onyx?
khoj: Self-hostable AI second brain for personalized research and automation. onyx: Open Source AI Platform - AI Chat with advanced features that works with every LLM. See the comparison table for live GitHub stats and shared categories.
When should I choose khoj over onyx?
Choose khoj over onyx when License: khoj is AGPL-3.0, onyx is Other; 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.; Both Onyx and Khoj serve as AI platforms that integrate with multiple LLMs to provide an 'AI second brain' experience for users. These tools solve the same problem but are built differently; Tags unique to khoj: agent, ai, assistant, chat; 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 choose onyx over khoj?
Choose onyx over khoj when License: onyx is Other, khoj is AGPL-3.0; Pricing: Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription.; Requirements: Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features.; Both Onyx and Khoj serve as AI platforms that integrate with multiple LLMs to provide an 'AI second brain' experience for users. These tools solve the same problem but are built differently; Tags unique to onyx: ai-chat, chatui, enterprise-search, gen-ai; use Onyx when you need a platform that supports both lightweight and full-featured deployments, including vector and keyword indexing, and performance optimizations for large-scale use.
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.
When should I avoid onyx?
avoid Onyx if you are looking for a platform that requires minimal setup and resource usage beyond what the Lite mode offers. do not use Onyx if your project does not benefit from vector and keyword indexing, AI model inference servers, or performance optimizations, as these features are only available in the Standard mode.
Is khoj or onyx more popular on GitHub?
khoj has more GitHub stars (37,399 vs 32,153). Stars measure visibility, not whether either tool fits your constraints.
Are khoj and onyx open source?
Yes - both are open-source projects on GitHub (khoj: AGPL-3.0, onyx: Other).
Where can I find alternatives to khoj or onyx?
GraphCanon lists graph-backed alternatives at khoj alternatives and onyx alternatives (khoj markdown twin, onyx 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, khoj or onyx?
khoj: Steady. onyx: Very active. 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 khoj and onyx?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: khoj trust report; onyx trust report.

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