SelfHostMap

Jan alternatives

Short answer

We track 7 self-hosted alternatives to Jan: LobeHub (LobeChat), Open WebUI, NextChat, LibreChat, Ollama, llama.cpp and LocalAI.

LobeHub (LobeChat) (same category): lighter official minimum (4 GB vs 8 GB RAM) and larger community (83.4k vs 45.0k GitHub stars).

Open WebUI (same category): larger community (156k vs 45.0k GitHub stars).

NextChat (same category): larger community (88.9k vs 45.0k GitHub stars).

Last updated · how we rank · sources

Jan alternatives compared

Self-hosted alternatives to Jan, ranked
#AppAdvantages over JanEst. server costOfficial hardwareLicenseStarsLast commitCompare
—Jan (this app)Activeno server (desktop app)minimum 8 GB RAM · 10 GB disk (recommended 16 GB RAM)Apache-2.045.0kOct 22, 2026—
1 LobeHub (LobeChat)
Same category		 lighter official minimum (4 GB vs 8 GB RAM); larger community (83.4k vs 45.0k GitHub stars)
Trade-off: Jan has no server to rent (desktop app); fewer license conditions (Permissive vs Custom / conditional)		 from €19.99/mo minimum 2 vCPU · 4 GB RAM · 20 GB disk (recommended 4 vCPU · 8 GB RAM · 50 GB disk) LobeHub Community License (Apache-2.0 with conditions) 83.4k Oct 22, 2026 Jan vs LobeHub (LobeChat)
2 Open WebUI
Same category		 larger community (156k vs 45.0k GitHub stars)
Trade-off: Jan has no server to rent (desktop app); fewer license conditions (Permissive vs Custom / conditional)		 not estimated (no official RAM figure) not published Open WebUI License (BSD-3-Clause style with branding clause) 156k Oct 16, 2026 Jan vs Open WebUI
3 NextChat
Same category		 larger community (88.9k vs 45.0k GitHub stars)
Trade-off: Jan has no server to rent (desktop app)		 not estimated (no official RAM figure) not published MIT 88.9k Oct 20, 2026 Jan vs NextChat
4 LibreChat
Same category		 lighter official minimum (1 GB vs 8 GB RAM)
Trade-off: Jan has no server to rent (desktop app)		 from €6.49/mo minimum 1 vCPU · 1 GB RAM (recommended 2 GB RAM) MIT 46.1k Oct 22, 2026 Jan vs LibreChat
5 Ollama
Run open models locally		 larger community (184k vs 45.0k GitHub stars)
Trade-off: Jan has no server to rent (desktop app)		 not estimated (no official RAM figure) not published MIT 184k Oct 22, 2026 Jan vs Ollama
6 llama.cpp
Run open models locally		 larger community (132k vs 45.0k GitHub stars)
Trade-off: Jan has no server to rent (desktop app)		 not estimated (no official RAM figure) not published MIT 132k Oct 22, 2026 Jan vs llama.cpp
7 LocalAI
Run open models locally		 None in our data (differs in features)
Trade-off: Jan has no server to rent (desktop app)		 not estimated (no official RAM figure) not published MIT 49.8k Oct 21, 2026 Jan vs LocalAI

Ranked by the number of objective advantages each alternative has over the app (cheaper estimated server cost, lighter official RAM figure, no GPU needed, fewer license conditions, better maintenance status, at least 1.5× the GitHub stars, simpler deploy). Ties: same-category apps first, then more GitHub stars. License order used: Permissive (MIT/Apache) → Open core → Copyleft (GPL) or Custom conditions → Network copyleft (AGPL) → Source-available. Archived projects are not listed as alternatives.

What each alternative is

  • LobeHub (LobeChat) (Private ChatGPT-style chat): Polished multi-model chat and agent workspace with plugins and knowledge bases.
  • Open WebUI (Private ChatGPT-style chat): Feature-rich self-hosted chat UI for Ollama and OpenAI-compatible APIs.
  • NextChat (Private ChatGPT-style chat): Lightweight ChatGPT-style web app you can run with one Docker command.
  • LibreChat (Private ChatGPT-style chat): Multi-provider ChatGPT-style interface with agents, file search and user management.
  • Ollama (Local model runtimes): The simplest way to download and run open-weight LLMs locally behind an API. Why it is listed: All of them download and run open-weight models on your own hardware.
  • llama.cpp (Local model runtimes): Lightweight C/C++ engine that runs quantized open models on CPU or GPU, with an OpenAI-compatible server. Why it is listed: All of them download and run open-weight models on your own hardware.
  • LocalAI (Local model runtimes): OpenAI-compatible API for LLMs, vision, voice and images on any hardware. Why it is listed: All of them download and run open-weight models on your own hardware.

Jan alternatives: FAQ

What is the best self-hosted alternative to Jan?

By our objective ranking: 1. LobeHub (LobeChat) (lighter official minimum (4 GB vs 8 GB RAM); larger community (83.4k vs 45.0k GitHub stars)) 2. Open WebUI (larger community (156k vs 45.0k GitHub stars)) 3. NextChat (larger community (88.9k vs 45.0k GitHub stars)). "Best" depends on the features you need; the ranking only counts cost, hardware, license, maintenance, community size and deploy complexity.

Is there a cheaper alternative to Jan?

Not by our estimate. Jan: no server (desktop app). Alternatives: LobeHub (LobeChat) (from €19.99/mo), Open WebUI (not estimated (no official RAM figure)), NextChat (not estimated (no official RAM figure)), LibreChat (from €6.49/mo), Ollama (not estimated (no official RAM figure)), llama.cpp (not estimated (no official RAM figure)), LocalAI (not estimated (no official RAM figure)).

Which Jan alternative has the most permissive license?

None has fewer conditions than Jan (Apache-2.0 (Permissive)). Alternatives: LobeHub (LobeChat): LobeHub Community License (Apache-2.0 with conditions) (Custom / conditional); Open WebUI: Open WebUI License (BSD-3-Clause style with branding clause) (Custom / conditional); NextChat: MIT (Permissive); LibreChat: MIT (Permissive); Ollama: MIT (Permissive); llama.cpp: MIT (Permissive); LocalAI: MIT (Permissive). Not legal advice.

Which Jan alternative needs the least hardware?

LobeHub (LobeChat): minimum 2 vCPU · 4 GB RAM · 20 GB disk (recommended 4 vCPU · 8 GB RAM · 50 GB disk); LibreChat: minimum 1 vCPU · 1 GB RAM (recommended 2 GB RAM). Jan: minimum 8 GB RAM · 10 GB disk (recommended 16 GB RAM).

Which SaaS products does Jan replace?

In our mapping, Jan is a self-hosted alternative to ChatGPT, with gaps listed on each comparison page.

Related

Sources