incoai/splash

A local inference engine for Apple silicon, built around the model.

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[](https://github.com/incoai/splash/actions/workflows/ci.yml) [](LICENSE) [](#quick-start) A local inference engine for Apple silicon, built around the model. Splash runs coding agents and OpenAI or Anthropic compatible applications on one Mac. It combines DFlash 2 speculative decoding, specialized Metal kernels, and automatic memory planning, with vision, tool calling, and a built-in chat page. It reuses cached prefixes and batches concurrent requests automatically. Download the Splash desktop app for an Apple M3 or newer on macOS 26.4 or later, open the disk image and drag Splash into Applications. The command line needs the same Mac and Homebrew: The first run downloads the model and its matching draft and starts serving on 127.0.0.1:8000. Later starts reuse the downloads; leave room on disk for them (storage requirements). Once it prints Ready, leave this terminal open. Open in your browser, or run an installed coding agent from another terminal: For a server started with another --port, pass the…

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Read the full README ↗ · Preview checked 2026-11-01T09:52:00.116Z

Inside the original README — Document outline
  1. Splash
  2. Quick start
  3. Use the API
  4. Models
  5. Settings
  6. Performance
  7. GGUF against llama.cpp
  8. Design
  9. More

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

A local inference engine for Apple silicon, built around the model.

Repository facts

Owner
incoai
Primary language
C++
Stars
1,308
Forks
118
Open issues + pull requests
87
License
Apache-2.0
Archived
No
Default branch
main
Created
2026-09-18T20:01:48.000Z
Last push
2026-10-06T11:57:19.000Z

Topics and intended use

Owner-supplied topics: apple-silicon, coding-agents, llm-inference, macos, metal, speculative-decoding

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Source: GitHub. Metadata observed 2026-10-09T12:07:53.309Z. Daily imports are snapshots, not real-time monitoring.

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