Ross ROSS = Recommend OSS · open-source software intelligence for agents

AutoArk/EVA-OS

EVA OS — A real-time multimodal AIOS for next-generation hardware, enabling your devices being “alive” and as intelligent as a real brain. observed · 2026-08-28

github.com/AutoArk/EVA-OS · homepage · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

68/100

  • Activity 95
  • Release rhythm 60
  • Longevity 20

Flags: prerelease_only

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 239
  • age_days: 280
  • days_rel: 33
  • days_push: 30
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

1712 stars · 109 forks observed · 2026-08-28

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

EVA OS / EVA Platform is a real-time multimodal AI operating system and development platform for next-generation smart hardware, combining an end-side SDK (TypeScript, Python, Flutter), a CLI, Agent Skills for AI coding tools, and a unified Model Gateway for ASR, TTS, and LLM access. It enables low-latency full-duplex voice/video interaction, emotion recognition, and device command execution across apps, wearables, robots, and embedded devices, with on-device inference for offline and low-cost operation.

Use cases

  • add a real-time voice assistant to my app or website
  • build a voice-controlled smart speaker or AI headset
  • make my smart glasses respond to speech and camera input
  • run speech recognition and TTS locally on embedded hardware
  • create a full-duplex voice agent with natural interruption handling
  • add emotion recognition to a voice chatbot
  • connect an LLM voice pipeline to a robot or ESP32 device
  • scaffold a multimodal AI app from a single natural-language prompt

When to choose

  • building voice-interactive consumer hardware like earbuds, glasses, speakers, or wearables
  • you need low-latency full-duplex voice conversation with barge-in support
  • you want on-device ASR/TTS inference to cut cloud costs or work offline
  • you want one SDK covering VAD, ASR, LLM, TTS, echo cancellation, and playback
  • you want AI coding agents to scaffold and integrate the voice pipeline for you

When to avoid

  • you need a fully self-hosted open-source stack with no vendor dependency
  • your project is text-only chat without real-time audio or video
  • you require a mature C++/Rust SDK today (still in development)
  • you need offline operation without any EVA Gateway connectivity for cloud models
  • you want to avoid proprietary platform pricing and API keys

Facets

framework · maturity active

speech-recognition tts llm-inference sdk agent-framework chatbot audio-processing computer-vision cli machine-learning artificial-intelligence speech-processing iot robotics embedded-systems developer-tools cross-platform iot embedded browser python cli aios voice-assistant real-time-multimodal edge-ai on-device-inference webrtc model-gateway vibe-coding agent-skills smart-devices full-duplex-audio emotion-recognition natural-language-processing real-time mobile nodejs typescript web-server

5 sources

Member repositories

RepositoryRoleHealth v2
AutoArk/EVA-OSmain68

For agents

markdown · JSON · MCP: product_card(name="AutoArk/EVA-OS")

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