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Open-source under AGPLv3 with an active global community
100% offline operation once local models are downloaded
Privacy-first, local-first data storage and user control
Supports Llama3, Gemma3, Mistral, and any GGUF local models
Optional connection to OpenAI, Anthropic, Mistral, and Groq via API keys
Cross-platform: desktop (Windows, macOS, Linux), browser, and server; extension coming
OpenAI-compatible local API server at https://localhost:1337
Extensible architecture with a VSCode/Obsidian-like extensions API
Agentic, long-horizon task automation with Jan‑v2 multimodal model
Jan‑v1 with web search and Ichigo for speech AI voice interactions
Context persistence across sessions for personalization
No data collection or selling; optional anonymous telemetry
Integrations with developer tools like Continue.dev and Cline
Local and cloud hybrid model flexibility for different workloads
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Run offline research, drafting, and analysis on sensitive data with no cloud exposure.
Use the OpenAI-compatible local API to power tools like Continue.dev and Cline with local models.
Deploy local-first AI workflows to keep IP and customer data on-premise while enabling automation.
Operate in low-connectivity environments—airplanes, secure facilities, or remote sites—100% offline.
Provide classroom-safe AI assistance that respects privacy and works on school devices without internet.
Launch long-horizon autonomous agents to gather sources, analyze findings, and draft reports.
Leverage Jan‑v2’s multimodal capabilities to iterate on specs, images, and documentation.
Automate triage, summarization, and knowledge base updates locally to protect user data.
Use Ichigo for dictation, transcription, and voice interactions with private, on-device processing.
Create custom workflows and tools via the extensions API to adapt Jan to unique use cases.