SwarmLLM vs Jan
Local AI assistants and inference compared
SwarmLLM and jan both run language models locally and offer OpenAI-compatible APIs for applications. SwarmLLM also pools computing across peer computers, while jan focuses on a desktop assistant with custom assistants and connections to cloud providers.
SwarmLLM: Run Local and Distributed AI Models
SwarmLLM runs open AI models on your computer and can pool resources with other computers to run larger models. It also provides OpenAI- and Anthropic-compatible APIs for local apps and agents.
Jan: Run Local AI on Your Desktop with llama.cpp
Jan is a Tauri desktop app built on llama.cpp that brings open-source AI into an offline ChatGPT-style interface. It runs on Windows, macOS, and Linux, with options to use local models or connect to cloud AI services.
| SwarmLLM | Jan | |
|---|---|---|
| Language | Rust | Rust |
| License | Apache-2.0 | — |
| Stars | 55 | 45k |
| Forks | 10 | 3.1k |
| Last analyzed | Oct 4, 2026 | Oct 18, 2026 |
Key differences
- SwarmLLM can distribute model inference across peer computers; jan runs models locally or connects to supported cloud providers.
- SwarmLLM offers OpenAI- and Anthropic-compatible APIs at `http://localhost:8800`; jan offers an OpenAI-compatible API at `localhost:1337`.
- SwarmLLM is a Rust application; jan is a desktop app for Windows, macOS, and Linux, built with Rust among its listed source-build requirements.
- SwarmLLM uses an Apache-2.0 license and has 55 stars; jan has a NOASSERTION license and 44.8k stars.
- SwarmLLM describes itself as an early version and warns that public swarm peers can see the work they process; jan's local inference depends on the selected model and computer hardware.
- SwarmLLM supports local-model tool calling, an MCP server, and resource contribution controls; jan supports custom assistants and MCP integration.
Choose SwarmLLM if you…
- want to pool multiple computers to run models that exceed one machine's capacity.
- need OpenAI- and Anthropic-compatible local APIs or local-model tool calling.
- want controls for shared-resource contribution, storage, and schedules.
Choose Jan if you…
- want a desktop interface for downloading and running local models.
- need to switch between local inference and cloud providers such as OpenAI, Anthropic, or Mistral.
- want to create custom assistants for recurring tasks.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.