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Comparison

jan vs LocalAI

Verdict

Pick jan if jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT; pick LocalAI if localAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU.

Markdown twin · jan alternatives · LocalAI alternatives

GraphCanon updated 5d

jan logo

jan

janhq/jan

★ 44kpushed Aug 14, 2026
vs
LocalAI logo

LocalAI

mudler/LocalAI

★ 49kpushed Aug 16, 2026

Trust & integrity

SignaljanLocalAI
Maintenance
Very active (1d since push)
As of 5d · github_public_v1
Very active (0d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Organization account
As of 5d · github_public_v1
Not a fork · Personal account
As of 5d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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
jan trust reportLocalAI trust reportTrust methodology

Tagline

jan
open source alternative to ChatGPT that runs offline locally
LocalAI
Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

Stars

jan
44k
LocalAI
49k

Forks

jan
3.0k
LocalAI
4.4k

Open issues

jan
453
LocalAI
156

Language

jan
TypeScript
LocalAI
Go

Adopt for

jan
Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
LocalAI
LocalAI is an open-source AI engine that supports the deployment of various models including LLMs and applications related to vision and audio across multiple hardware types without needing a GPU.

Persona

jan
-
LocalAI
-

Runtime

jan
-
LocalAI
-

License

jan
Other
LocalAI
MIT

Last pushed

jan
Aug 14, 2026
LocalAI
Aug 16, 2026

Categories

jan
Inference & Serving, LLM Frameworks
LocalAI
Computer Vision, LLM Frameworks, Speech & Audio

Trust and health

Days since push

jan
1d
LocalAI
0d

Open issues (now)

jan
453
LocalAI
156

Stars delta

jan
+426 (30d)
LocalAI
+924 (30d)

Open issues delta

jan
+69 (30d)
LocalAI
-53 (30d)

Owner type

jan
Organization
LocalAI
User

Full report

jan
Trust report
LocalAI
Trust report

Typed relationship

jan alternative LocalAIBoth Jan and LocalAI are designed for running AI models, particularly LLMs, offline on local hardware.

Choose jan if…

  • jan is primarily TypeScript; LocalAI is Go.
  • License: jan is Other, LocalAI is MIT.
  • Both Jan and LocalAI are designed for running AI models, particularly LLMs, offline on local hardware.
  • Tags unique to jan: chatgpt, gpt, llamacpp, llm.
  • Also covers Inference & Serving.
  • - If you require an offline-capable AI assistant for environments without internet access.

When NOT to use jan

  • - If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates.
  • - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information.
GitHubDetails

Choose LocalAI if…

  • LocalAI is primarily Go; jan is TypeScript.
  • License: LocalAI is MIT, jan is Other.
  • Pricing: As an open-source project under the MIT license, it is free to use and distribute..
  • Both Jan and LocalAI are designed for running AI models, particularly LLMs, offline on local hardware.
  • Tags unique to LocalAI: agents, ai, api, audio-generation.
  • Also covers Computer Vision, Speech & Audio.
  • LocalAI ships Docker support for self-hosted deployment.
  • Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware.

When NOT to use LocalAI

  • Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility.
  • Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written).
GitHubDetails

Explore

jan trust report →LocalAI trust report →Inference & Serving category →LLM Frameworks category →Computer Vision category →Speech & Audio 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: jan 44k · LocalAI 49k (synced Aug 16, 2026).

Common questions

What is the difference between jan and LocalAI?
jan: open source alternative to ChatGPT that runs offline locally. LocalAI: Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.. See the comparison table for live GitHub stats and shared categories.
When should I choose jan over LocalAI?
Choose jan over LocalAI when jan is primarily TypeScript; LocalAI is Go; License: jan is Other, LocalAI is MIT; Both Jan and LocalAI are designed for running AI models, particularly LLMs, offline on local hardware; Tags unique to jan: chatgpt, gpt, llamacpp, llm; Also covers Inference & Serving; - If you require an offline-capable AI assistant for environments without internet access.
When should I choose LocalAI over jan?
Choose LocalAI over jan when LocalAI is primarily Go; jan is TypeScript; License: LocalAI is MIT, jan is Other; Pricing: As an open-source project under the MIT license, it is free to use and distribute.; Both Jan and LocalAI are designed for running AI models, particularly LLMs, offline on local hardware; Tags unique to LocalAI: agents, ai, api, audio-generation; Also covers Computer Vision, Speech & Audio; LocalAI ships Docker support for self-hosted deployment; Use LocalAI when you need model flexibility, as it can run different types of models (LLMs, computer vision, speech & audio) on any type of hardware.
When should I avoid jan?
- If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates. - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information.
When should I avoid LocalAI?
Avoid LocalAI if you need to leverage GPU-specific optimizations for performance acceleration as it promotes no-GPU usage, potentially sacrificing speed for accessibility. Do not use LocalAI where specific language runtime environments are required that do not align with Go (the language in which LocalAI is written).
Is jan or LocalAI more popular on GitHub?
LocalAI has more GitHub stars (48,500 vs 44,020). Stars measure visibility, not whether either tool fits your constraints.
Are jan and LocalAI open source?
Yes - both are open-source projects on GitHub (jan: Other, LocalAI: MIT).
Where can I find alternatives to jan or LocalAI?
GraphCanon lists graph-backed alternatives at jan alternatives and LocalAI alternatives (jan markdown twin, LocalAI 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, jan or LocalAI?
jan: Very active. LocalAI: 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 jan and LocalAI?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jan trust report; LocalAI trust report.

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