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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.


We're not a model ourselves—we provide the infrastructure that enables you to deploy and use any model of your choice, while simplifying communication through AI agents.




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