Jan Alternatives

Direct alternatives to Jan

Jan is an open-source desktop app that runs models locally on llama.cpp and exposes an OpenAI-compatible server on port 1337. People comparing it usually want one of two things: a different desktop app, or a model server without a chat window. The alternatives below are grouped that way.

Desktop apps with a chat UI

• LM Studio: a desktop app on llama.cpp and MLX, free for personal and work use, with OpenAI-compatible and Anthropic-compatible local endpoints. The app itself is proprietary (its CLI and SDKs are MIT); it fits when a polished app matters more than an open licence.
• GPT4All: Nomic's MIT-licensed desktop app and Python SDK, with LocalDocs for chatting over your own files. Its last tagged release is v3.10.0 from February 2025.
• Atomic Chat: an Apache-2.0 local chat app that also covers mobile, with an OpenAI-compatible endpoint at localhost:1337/v1 and support for MCP servers.
• TextGen (formerly text-generation-webui): AGPL-3.0 desktop app and web UI that switches between llama.cpp, Transformers, ExLlamaV3 and TensorRT-LLM backends without a restart, with an OpenAI-compatible API.
• KoboldCpp: a single llama.cpp-based binary with a web UI and an API on port 5001 that speaks OpenAI, Anthropic, Ollama and KoboldAI formats. It can also run image generation and speech in the same process.

Local model servers

• Ollama: an MIT-licensed CLI and background server that pulls a model with one command and serves it on localhost:11434. Fits when your own code is the client.
• LocalAI: a single MIT-licensed binary with an OpenAI-compatible API over 60+ swappable backends, covering audio and image generation as well as text. It is CPU-first: no GPU is required.
• llama.cpp: the MIT-licensed engine Jan already runs on. Going direct gives you llama-server and full control over GGUF files and build flags, with no app layer.
• llamafile: Mozilla.ai builds on llama.cpp to pack a model and its runtime into one executable that runs on Linux, macOS, Windows and the BSDs with no install.
• Lemonade Server: local server with llama.cpp backends plus NPU engines for AMD Ryzen AI chips, serving OpenAI-, Anthropic- and Ollama-compatible APIs.
• Docker Model Runner: docker model commands pull models as OCI artifacts and serve them with llama.cpp by default (vLLM on NVIDIA), behind OpenAI- and Ollama-compatible APIs.
• RamaLama: from the containers project behind Podman, runs each model in a container image matched to your GPU, with llama.cpp's server by default. MIT.