Home/Compare/jan vs MOSS

Comparison

jan vs MOSS

Verdict

Pick jan if jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT; pick MOSS if an open-source conversational language model from Fudan University providing pre-trained and fine-tuned models for various applications.

Markdown twin · jan alternatives · MOSS alternatives

GraphCanon updated 4d

jan logo

jan

janhq/jan

44kpushed Aug 14, 2026
vs
MOSS logo

MOSS

OpenMOSS/MOSS

12kpushed May 27, 2026

Trust & integrity

SignaljanMOSS
Maintenance
Very active (1d since push)
As of 4d · github_public_v1
Steady (81d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of 4d · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
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

jan
open source alternative to ChatGPT that runs offline locally
MOSS
An open-source conversational language model

Stars

jan
44k
MOSS
12k

Forks

jan
3.0k
MOSS
1.1k

Open issues

jan
453
MOSS
243

Language

jan
TypeScript
MOSS
Python

Adopt for

jan
Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT.
MOSS
An open-source conversational language model from Fudan University providing pre-trained and fine-tuned models for various applications.

Persona

jan
-
MOSS
-

Runtime

jan
-
MOSS
-

License

jan
Other
MOSS
Apache-2.0

Last pushed

jan
Aug 14, 2026
MOSS
May 27, 2026

Categories

jan
Inference & Serving, LLM Frameworks
MOSS
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

jan
Very active (96%)
MOSS
Steady (60%)

Days since push

jan
1d
MOSS
81d

Open issues (now)

jan
453
MOSS
243

Stars delta

jan
+426 (30d)
MOSS
+56 (30d)

Open issues delta

jan
+69 (30d)
MOSS
+1 (30d)

OSV dependency advisories

jan
No lockfile (source not queried)
MOSS
Published findings

Full report

Typed relationship

jan alternative MOSSBoth MOSS and Jan are open-source conversational language models designed to interact with users in a natural way, addressing similar needs but developed independently.

Choose jan if…

  • jan is primarily TypeScript; MOSS is Python.
  • License: jan is Other, MOSS is Apache-2.0.
  • Both MOSS and Jan are open-source conversational language models designed to interact with users in a natural way, addressing similar needs but developed independently.
  • Tags unique to jan: gpt, llamacpp, llm, localai.
  • - 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.

Choose MOSS if…

  • MOSS is primarily Python; jan is TypeScript.
  • License: MOSS is Apache-2.0, jan is Other.
  • Requirements: Min 16 GB RAM; Requires substantial GPU memory, ranging from around 12GB to 24GB depending on the model version.; Hardware must support high-performance matrix operations for effective inference..
  • Both MOSS and Jan are open-source conversational language models designed to interact with users in a natural way, addressing similar needs but developed independently.
  • Tags unique to MOSS: deep-learning, dialogue-systems, large language models, natural-language-processing.
  • - MOSS is ideal for use in scenarios that require detailed multi-turn dialogues with advanced plugin capabilities, such as customer support services where context preservation and the ability to call

When NOT to use MOSS

  • - Avoid using MOSS in situations where you require models without integrated plugin support, as its advanced feature set might introduce unnecessary complexity.
  • - MOSS may not be the optimal choice for applications that prioritize extremely low resource consumption because of its demand for significant computational power even with the lower quantized models.

Explore

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 · MOSS 12k (synced Aug 16, 2026).

Common questions

What is the difference between jan and MOSS?
jan: open source alternative to ChatGPT that runs offline locally. MOSS: An open-source conversational language model. See the comparison table for live GitHub stats and shared categories.
When should I choose jan over MOSS?
Choose jan over MOSS when jan is primarily TypeScript; MOSS is Python; License: jan is Other, MOSS is Apache-2.0; Both MOSS and Jan are open-source conversational language models designed to interact with users in a natural way, addressing similar needs but developed independently; Tags unique to jan: gpt, llamacpp, llm, localai; - If you require an offline-capable AI assistant for environments without internet access.
When should I choose MOSS over jan?
Choose MOSS over jan when MOSS is primarily Python; jan is TypeScript; License: MOSS is Apache-2.0, jan is Other; Requirements: Min 16 GB RAM; Requires substantial GPU memory, ranging from around 12GB to 24GB depending on the model version.; Hardware must support high-performance matrix operations for effective inference.; Both MOSS and Jan are open-source conversational language models designed to interact with users in a natural way, addressing similar needs but developed independently; Tags unique to MOSS: deep-learning, dialogue-systems, large language models, natural-language-processing; - MOSS is ideal for use in scenarios that require detailed multi-turn dialogues with advanced plugin capabilities, such as customer support services where context preservation and the ability to call.
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 MOSS?
- Avoid using MOSS in situations where you require models without integrated plugin support, as its advanced feature set might introduce unnecessary complexity. - MOSS may not be the optimal choice for applications that prioritize extremely low resource consumption because of its demand for significant computational power even with the lower quantized models.
Is jan or MOSS more popular on GitHub?
jan has more GitHub stars (44,020 vs 12,214). Stars measure visibility, not whether either tool fits your constraints.
Are jan and MOSS open source?
Yes - both are open-source projects on GitHub (jan: Other, MOSS: Apache-2.0).
Where can I find alternatives to jan or MOSS?
GraphCanon lists graph-backed alternatives at jan alternatives and MOSS alternatives (jan markdown twin, MOSS 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 MOSS?
jan: Very active. MOSS: 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 jan and MOSS?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: jan trust report; MOSS trust report.

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