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How to build Jan from source with your GPU engine with Jan

Clone Jan and build it with make, choosing a CUDA, Vulkan, Metal or ROCm engine variant.

Short answer: Install Node.js 20+, Yarn 4.5.3+, Make and Rust; then clone with git clone https://github.com/janhq/jan and cd jan; run make dev to install dependencies, build and launch the app. All steps.

Who it is forA developer who wants to contribute to Jan or needs a build tuned for their GPU.

The problemPrebuilt binaries may not match your hardware or let you change the code.

The outcomeA development build of Jan running locally with the engine variant you chose.

What you need first

  • Windows 10+, macOS 13.6+ or most Linux distributions
  • RAM for the model size: 8GB for 3B models, 16GB for 7B, 32GB for 13B on macOS
  • To build from source: Node.js 20+, Yarn 4.5.3+, Make and Rust

Steps

  1. Install Node.js 20+, Yarn 4.5.3+, Make and Rust
  2. Clone with git clone https://github.com/janhq/jan and cd jan
  3. Run make dev to install dependencies, build and launch the app
  4. Pick an engine variant, for example make dev JAN_ENGINE_VARIANT=cuda13
  5. On Windows, run make from Git Bash, not cmd.exe

Prompt for your agent

Build janhq/jan from source on this machine with the <engine variant> engine using make dev. If the build fails, read the error and apply the fix the README gives for that case.

Caveat. On Windows, CUDA builds can hit the 260 character path limit; the build script relocates the engine build tree, and otherwise the README says to set JAN_ENGINE_BUILD_DIR to a short path.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for janhq/jan and "Build Jan from source with your GPU engine"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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