# 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.

Repository: https://github.com/AutoArk/EVA-OS
Canonical: https://ross.abutalabs.com/products/eva-os
Homepage: https://eva.autoarkai.com/en
License: MIT
License Family: permissive
Topics: aios, multimodal-ai, real-time, robotics, voice-assistant, smart-devices, webrtc
Last push: 2026-08-03T10:12:23+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 95, release rhythm 60, longevity 20
- inputs: {"age_days": 280, "days_push": 30, "days_rel": 33, "gap_med": 239, "n_releases_24m": 2}
- flags: prerelease_only
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1712, forks 109 (observed 2026-08-28T04:05:24.893266+00:00)

## What it is
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
- artifact type: framework
- maturity: active
- function: speech-recognition, tts, llm-inference, sdk, agent-framework, chatbot, audio-processing, computer-vision, cli, machine-learning
- domain: artificial-intelligence, speech-processing, iot, robotics, embedded-systems, developer-tools
- platform: cross-platform, iot, embedded, browser, python, cli
- tags: 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

## Member repositories
- AutoArk/EVA-OS (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:24.893266+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:34:45.552339+00:00, confidence not recorded.
  - readme: https://github.com/AutoArk/EVA-OS (fetched 2026-08-28T04:05:24.893266+00:00, sha 7dc14e0eb8f4)
  - homepage: https://eva.autoarkai.com/en (fetched 2026-08-29T11:11:23.793117+00:00, sha 25481c198d86)
  - site_page: https://eva.autoarkai.com/en/api-docs/guide/eva-skill (fetched 2026-08-29T11:11:23.802240+00:00, sha 0ade0c49175d)
  - site_page: https://eva.autoarkai.com/en/api-docs/guide/eva-client-sdk (fetched 2026-08-29T11:11:23.805317+00:00, sha 58d443c4d907)
  - site_page: https://eva.autoarkai.com/en/pricing (fetched 2026-08-29T11:11:23.803814+00:00, sha aecf3587dd24)
- Data as of 2026-08-30T08:39:29.467469+00:00.