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
Trust & integrity
| Signal | jan | MOSS |
|---|---|---|
| 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
- jan
- Trust report
- MOSS
- Trust report
Typed relationship
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 (janhq/jan) · observed Aug 16, 2026
- GitHub forks (janhq/jan) · observed Aug 16, 2026
- Last push (janhq/jan) · observed Aug 14, 2026
- License file (Other) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (OpenMOSS/MOSS) · observed Aug 17, 2026
- GitHub forks (OpenMOSS/MOSS) · observed Aug 17, 2026
- Last push (OpenMOSS/MOSS) · observed May 27, 2026
- License file (Apache-2.0) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.