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Vision Agents build real-time AI that can see, hear, and respond. Open source. Open Platform. Production ready. Designed for low-latency video and voice agents that run on your models, your infra, and your edge layer.

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GitHub Projects Community

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26,031 Aufrufe • vor 8 Monaten •via X (Twitter)

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Profilbild von GitHub Projects Community
GitHub Projects Communityvor 8 Monaten

Built for real-time use cases like coaching overlays, security monitoring, always-on assistants, and more. GitHub Repository:

Profilbild von Himanshu Kumar
Himanshu Kumarvor 8 Monaten

@GithubProjects, real-time agents are becoming increasingly important for many applications, and this is a great step.

Profilbild von SynthesisLedger
SynthesisLedgervor 8 Monaten

low-latency edge agents are solid for real-time io but multi-modal vision/voice pipelines drift fast without anchored decision traces.. that's where open logic ledgers kill the fragility. 🇳🇴

Profilbild von Pratik
Pratikvor 8 Monaten

perfect timing. needed this for an always on assistant project. latency numbers?

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A toolkit for building agents that watch, listen, and understand video. Low latency by design. Open source. Production ready. Vision Agents lets you build real time video AI that works with your models and your edge layer. Supports YOLO, Moondream, Cartesia, Deepgram, ElevenLabs, HeyGen, Gemini, OpenAI, and more. Quick model switching. Easy to use API. Perfect for coaching tools, collaboration apps, avatars, and robotics.
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A toolkit for building agents that watch, listen, and understand video. Low latency by design. Open source. Production ready. Vision Agents lets you build real time video AI that works with your models and your edge layer. Supports YOLO, Moondream, Cartesia, Deepgram, ElevenLabs, HeyGen, Gemini, OpenAI, and more. Quick model switching. Easy to use API. Perfect for coaching tools, collaboration apps, avatars, and robotics.

GitHub Projects Community

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inside Smallest AI office, Sudarshan Kamath on what's the missing piece for voice agents!! why Lightning TTS, ultra-low latency voice models needs HydraDB the knowledge and context layer for AI Agents!!
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inside Smallest AI office, Sudarshan Kamath on what's the missing piece for voice agents!! why Lightning TTS, ultra-low latency voice models needs HydraDB the knowledge and context layer for AI Agents!!

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Alook launched an open-source platform that lets a single person run an organized team of AI agents, with defined roles, reporting lines, and real email coordination between agents. Close the screen and terminal, the agents keep running, and the work lands in your inbox.
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🚨 AI News | TestingCatalog

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Top announcement from the Developer Keynote: Gemini Enterprise Agent Platform—a unified dev ecosystem for building production-ready AI agents and infrastructure. What's that mean? Access to 200+ models, including Gemini and Gemma 4 + open source models →
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This is huge for video AI. Stream dropped Vision Agents, an open-source framework that lets AI watch and understand live video in real-time. - Sports coaching - Real-time threat detection - Live meeting assistants Combines YOLO, Gemini, OpenAI. Free. Open-source 🧵👇
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This is huge for video AI. Stream dropped Vision Agents, an open-source framework that lets AI watch and understand live video in real-time. - Sports coaching - Real-time threat detection - Live meeting assistants Combines YOLO, Gemini, OpenAI. Free. Open-source 🧵👇

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Conversational AI is here. Build AI agents that can speak in minutes with low latency, full configurability, and seamless scalability.
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As promised. Write up on implementing and optimizing conversational agents: An open source repo which is a generic WebSocket server for low-latency conversational agents: And another demo
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15,944 Aufrufe • vor 2 Jahren

Build voice agents that can respond quickly or think longer without changing your stack. Gemini 3.8 Live is available today in LiveKit Agents. Choose gemini-3.8-live for low-latency audio or gemini-3.8-live-extended-thinking for async reasoning. Check the docs for more info:
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