antirez (Salvatore Sanfilippo)

license

MIT(OSI)

source

public

core features withheld

no

MIT-licensed native inference engine; full C/CUDA/Obj-C source public, no proprietary tier.

• https://github.com/antirez/ds4 recorded 2026-08-09

  repo license metadata reports {"spdxId":"MIT","name":"MIT License"}; single public repository - a full-text read of the page finds no commercial edition, enterprise directory or hosted-service offering, the only "pricing" strings being GitHub's own site navigation, and the project links no separate product site.

• https://github.com/antirez/ds4/blob/main/LICENSE recorded 2026-09-16

  MIT License, Copyright (c) 2026 The ds4.c authors, Copyright (c) 2023-2026 The ggml authors

• https://raw.githubusercontent.com/antirez/ds4/main/LICENSE recorded 2026-09-29

  The repository LICENSE file is the MIT License text, opening with "MIT License" and "Copyright (c) 2026 The ds4.c authors" and "Copyright (c) 2023-2026 The ggml authors".

• https://raw.githubusercontent.com/antirez/ds4/main/README.md recorded 2026-09-29

  The README describes the full engine source in the repository, saying "The code is self-contained and deliberately narrow, not a general GGUF runner" and "Some source-level pieces are retained or adapted here under the MIT license"; a search for enterprise, commercial, license key and hosted found nothing gating the engine.

GitHub stars are the only usage signal published for ds4, since no download, install or customer figure exists. A star is not a use, so this measure can only be read as a rough floor on adoption.

• https://api.github.com/repos/antirez/ds4 recorded 2026-08-12

  stargazers_count = 21,258 for antirez/ds4

ds4 is a narrow engine that runs a short list of chosen open-weight models rather than a general GGUF runner. It has neither the model breadth of llama.cpp nor the datacenter throughput of frontier serving engines.

• https://github.com/antirez/ds4 recorded 2026-08-09

  README states the engine is "deliberately narrow, not a general GGUF runner. Model loading, prompt rendering, tool calls, KV state, the HTTP server, and the coding agent are built and tested together"; confirms Metal/CUDA/ROCm backends and DeepSeek 4 Flash/PRO focus

• https://raw.githubusercontent.com/antirez/ds4/main/docs/SERVER.md recorded 2026-09-29

  The serving guide lists "POST /v1/chat/completions" as "OpenAI-style chat" and "POST /v1/messages" as "Anthropic-style messages".

• https://raw.githubusercontent.com/antirez/ds4/main/README.md recorded 2026-09-29

  The README says the engine is "deliberately narrow, not a general GGUF runner" and that "model loading, prompt rendering, tool calls, KV state, the HTTP server, and the coding agent are built and tested together"; it lists Metal, CUDA and ROCm targets and DeepSeek V4, GLM and Qwen model support.