LibreAI / KI-Agenten / Vision-Agents
// agents · GetStream/Vision-Agents

Vision-Agents

Vision-Agents ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von GetStream (GetStream/Vision-Agents auf GitHub). Es hat 8.154 Sterne auf GitHub und 692 Forks, wird unter der Lizenz Apache-2.0 veröffentlicht und wurde zuletzt am 8. Oktober 2026 auf GitHub aktualisiert.

Stream's open Vision Agents — build real-time voice and vision agents with any model or video provider.

★ 8,2 Tsd. Sterne⑂ 692 ForksApache-2.0aktualisiert Okt 2026
▦ Visual — das README dieses Projekts enthält keinen einbettbaren Screenshot,
darum hier ein Platzhalter. Die Anleitung unten ist trotzdem vollständig.
// projektdaten

Projektdaten

GitHub-Sterne
8.154
Forks
692
Lizenz
Apache-2.0
Zuletzt auf GitHub aktualisiert
8. Oktober 2026
Kategorie
KI-Agenten
Eintragstyp
Vollständige Installationsanleitung
Offizielle Website
Official site
// so funktioniert es

So funktioniert es

  1. Clarify your goal

    Pick your video provider, the models you will combine (for example a detector plus an LLM), and get Stream credentials if you use Stream's edge network.

  2. Get the project

    Clone GetStream/Vision-Agents from GitHub (or use the install path in the run steps below) and skim its README for the parts relevant to your goal.

  3. Install and configure

    Add vision-agents with uv, optionally with the extras bundle for Stream, OpenAI, ElevenLabs and Deepgram integrations.

  4. Run your first task

    Follow the quickstart to join a call with a basic agent — the repo's golf-coach example shows the pattern — and have it respond to what it sees and hears.

// funktionen

Warum es so beliebt ist

Real-time video AI

Built for live video: combine YOLO, Roboflow and others with Gemini or OpenAI in real time.

Low-latency edge

Uses Stream's edge network with fast joins and very low audio/video latency, while remaining open to other video providers.

Native model APIs

Work through native SDK methods from OpenAI, Gemini and Claude rather than a lowest-common-denominator wrapper.

Many client SDKs

SDKs for React, Android, iOS, Flutter, React Native and Unity powered by the same realtime stack.

Voice and vision together

Speech-to-text, text-to-speech and vision integrations (extras include ElevenLabs and Deepgram) for agents that listen and speak as well as watch.

Worked examples

Example agents, including a golf coach, show full patterns for perception-plus-LLM video agents.

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// selbst ausführen

Führe es selbst aus

  1. Clone the repository

    Get the source from the official GitHub repository for Vision-Agents.

    git clone https://github.com/GetStream/Vision-Agents.git
    cd Vision-Agents
  2. Install with uv

    Install the core package as the README's getting-started step 1 shows.

    uv add vision-agents
  3. Add integrations and credentials

    Install the extras bundle for the providers you will use, then get a Stream API key and follow the quickstart to build your first agent.

    uv add "vision-agents[getstream, openai, elevenlabs, deepgram]"  # then add your Stream API credentials — see README
// anwendungsfälle

Was du damit bauen kannst

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// häufige fragen

Häufige Fragen

Who maintains Vision-Agents?

GetStream (Stream), through the GetStream/Vision-Agents repository, with the site at visionagents.ai.

Is Vision-Agents free to use?

Yes — the project is open source under the Apache-2.0 license as recorded for this listing. See the license terms for any conditions on redistribution.

Does Vision-Agents need a paid API key?

You need credentials for the services you use — for Stream, the README notes a free API key with monthly participant minutes; model providers such as OpenAI or Gemini use your own keys.

How does Vision Agents compare to calling a vision model API on uploaded clips?

Upload-and-analyse APIs are offline and high-latency. Vision Agents is built for live sessions — streaming video, sub-second joins and realtime responses — which suits interactive agents but means running a realtime stack, not a batch job.

How do I get started with Vision-Agents?

Clone the repository (or use the documented installer), follow the install and configure steps on this page, and run the smallest real task first — follow the quickstart to join a call with a basic agent — the repo's golf-coach example shows the pattern — and have it respond to what it sees and hears.

// weiter entdecken

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// alternativen

Alternativen im Bereich KI-Agenten

Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls Vision-Agents nicht das Richtige ist.

// mehr in agents

Mehr in KI-Agenten

Verwandte Projekte der Kategorie KI-Agenten im Katalog, die Vision-Agents bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.

Hol dir Vision-Agents

Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.