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RunanywhereAI/RCLI

Talk to your Mac, query your docs, no cloud required. On-device voice AI + RAG observed · 2026-08-28

github.com/RunanywhereAI/RCLI · homepage · C++ · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

82/100

  • Activity 99
  • Release rhythm 99
  • Longevity 13
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 182
  • days_rel: 8
  • days_push: 8
  • n_releases_24m: 25

Full methodology

Adoption not part of the score

1542 stars · 84 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

RCLI is a single-binary CLI that runs open-source AI models locally on your machine, covering chat, vision, speech-to-text, text-to-speech, and embeddings with no cloud dependency. It dispatches to multiple inference backends (llama.cpp, MLX, Sherpa-ONNX, ONNX Runtime, and private Core ML/QNN overlays) and can serve an OpenAI-compatible API.

Use cases

  • run local llm chat on my mac without cloud
  • query my documents with on-device rag
  • transcribe speech to text offline
  • generate speech from text locally
  • serve an openai-compatible local model api
  • pull and run gguf models from hugging face
  • generate images locally on apple silicon

When to choose

  • you want fully private, offline AI inference on Apple Silicon or desktop hardware
  • you need one binary that handles LLM, speech, embeddings, and vision across multiple backends
  • you want an OpenAI-compatible local endpoint for existing tooling

When to avoid

  • you need large-scale server or multi-GPU cluster inference
  • you rely on proprietary frontier models not available as open weights
  • you need Windows ARM64 or Linux GPU features that depend on private overlay engines

Facets

cli-tool · maturity active

llm-inference speech-recognition tts rag chatbot http-server cli artificial-intelligence large-language-models speech-processing developer-tools privacy windows cli on-device-ai local-llm apple-silicon metal llama-cpp mlx gguf voice-assistant openai-compatible-api offline command-line macos linux gpu

2 sources

Member repositories

RepositoryRoleHealth v2
RunanywhereAI/RCLImain82

For agents

markdown · JSON · MCP: product_card(name="RunanywhereAI/RCLI")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem