I'm beyond excited to share what we've been building: VideoSDK Real-Time AI Agents. Today, voice is becoming the new UI.
We expect agents to feel human, to understand us, respond instantly, and work seamlessly across web, mobile, and even telephony. But, to achieve this, developers have to stitch together: STT, LLM, TTS, glued with HTTP endpoints and, a prayer.
This most often results in agents that sound robotic, hallucinations and fail in product environments without observability. So we built something to solve that.
Now, we are open sourcing it!
Here’s what it offers:
- Global WebRTC infra with <80ms latency
- Native turn detection, VAD, and noise suppression
- Modular pipelines for STT, LLM, TTS, avatars, and - real-time model switching
- Built-in RAG + memory for grounding and hallucination resistance
- SDKs for web, mobile, Unity, IoT, and telephony — no glue code needed
- Agent Cloud to scale infinitely with one-click deployments — or self-host with full control
Think of it like moving from a walkie-talkie to a modern network tower that handles thousands of calls.
VideoSDK gives you the infrastructure to build voice agents that actually work in the real world, at scale.
I'd love your thoughts and questions! Happy to dive deep into architecture, use cases, or crazy edge cases you've been struggling with.
Chatterbox is great for local/private TTS with Resemble AI.
voice agent SDK is broader it's full real-time voice infra with STT, LLM, TTS, memory, and RAG built in. You can plug in Resemble, ElevenLabs, etc., and deploy across web, mobile, and telephony with <80ms latency.
Why would I use this vs @openai/openai-agents-python (or openai-agents-ts) - the new realtime agents SDKs?
There are so many AI frameworks out there that live & die so quickly that I am generally hard pressed to use any of these unless there is some killer feature I absolutely need.
Totally fair. The space moves fast, and it's smart to be skeptical. Here's how VideoSDK Real-Time AI Agents stand out from OpenAI agents SDKs and others:
1. Voice infra included
OpenAI agents handle logic and memory, but they don’t include real-time audio infra.
VideoSDK gives you:
- <80ms global WebRTC latency
- Built-in turn-taking, VAD, and noise suppression
- Real-time voice across web, mobile, IoT, and telephony
2. Fully modular pipeline
No vendor lock-in. Swap STT, LLM, TTS, and avatars. Change models live per user or use case. Want ElevenLabs for tone and OpenAI for reasoning? Easy.
3. Native RAG + memory
Integrated long-term memory and retrieval help reduce hallucinations and keep conversations grounded.
4. Scale-ready
Deploy globally with one click using Agent Cloud or self-host with full control. Built for production use.
If you're building real-time, voice-first agents that need to work across platforms and scale reliably, this is purpose-built for that.
Happy to dive into your use case if you're exploring options.
9 comments
[ 3.7 ms ] story [ 24.7 ms ] threadI’m Sagar, co-founder of VideoSDK.
I'm beyond excited to share what we've been building: VideoSDK Real-Time AI Agents. Today, voice is becoming the new UI.
We expect agents to feel human, to understand us, respond instantly, and work seamlessly across web, mobile, and even telephony. But, to achieve this, developers have to stitch together: STT, LLM, TTS, glued with HTTP endpoints and, a prayer.
This most often results in agents that sound robotic, hallucinations and fail in product environments without observability. So we built something to solve that.
Now, we are open sourcing it!
Here’s what it offers:
- Global WebRTC infra with <80ms latency - Native turn detection, VAD, and noise suppression - Modular pipelines for STT, LLM, TTS, avatars, and - real-time model switching - Built-in RAG + memory for grounding and hallucination resistance - SDKs for web, mobile, Unity, IoT, and telephony — no glue code needed - Agent Cloud to scale infinitely with one-click deployments — or self-host with full control Think of it like moving from a walkie-talkie to a modern network tower that handles thousands of calls.
VideoSDK gives you the infrastructure to build voice agents that actually work in the real world, at scale.
I'd love your thoughts and questions! Happy to dive deep into architecture, use cases, or crazy edge cases you've been struggling with.
voice agent SDK is broader it's full real-time voice infra with STT, LLM, TTS, memory, and RAG built in. You can plug in Resemble, ElevenLabs, etc., and deploy across web, mobile, and telephony with <80ms latency.
There are so many AI frameworks out there that live & die so quickly that I am generally hard pressed to use any of these unless there is some killer feature I absolutely need.
1. Voice infra included OpenAI agents handle logic and memory, but they don’t include real-time audio infra.
VideoSDK gives you:
- <80ms global WebRTC latency
- Built-in turn-taking, VAD, and noise suppression
- Real-time voice across web, mobile, IoT, and telephony
2. Fully modular pipeline No vendor lock-in. Swap STT, LLM, TTS, and avatars. Change models live per user or use case. Want ElevenLabs for tone and OpenAI for reasoning? Easy.
3. Native RAG + memory Integrated long-term memory and retrieval help reduce hallucinations and keep conversations grounded.
4. Scale-ready Deploy globally with one click using Agent Cloud or self-host with full control. Built for production use.
If you're building real-time, voice-first agents that need to work across platforms and scale reliably, this is purpose-built for that.
Happy to dive into your use case if you're exploring options.
Live demo to try it out: https://aiagent.tryvideosdk.live