Stream Vision Agents: Pricing, Features, Pros & Cons

Boulder, CO|Open source; usage-based pricing for Stream's edge network

What is Stream?

Stream is the company behind chat, video, and activity feed APIs used inside consumer and enterprise apps. Headquartered in Boulder, Colorado, with an office in Amsterdam, it now also builds Vision Agents, an open-source Python framework for agents that see, hear, and talk in real time.

Vision Agents streams audio and video frames over WebRTC straight to models such as OpenAI Realtime and Gemini Live, with vision pipelines (YOLO, Roboflow, Moondream) that run before or after the model call. It handles turn detection, tool calling and MCP, memory, RAG, and inbound or outbound phone calls through Twilio or Telnyx. The framework is edge-agnostic: Stream's own low-latency edge network is the default, but it also runs on any WebRTC infrastructure or local devices.

Key features

Core capabilities this platform advertises.

Open-source Python framework for voice and video agents
Real-time WebRTC streaming of audio and video to models
Pluggable vision pipelines (YOLO, Roboflow, Moondream)
Turn detection, interruptions, and speaker diarization
Tool calling and MCP support
Phone calls through Twilio or Telnyx
Works with any WebRTC network, not only Stream's edge

Strengths and tradeoffs

What this tool does well, and the limitations to keep in mind.

Pros

Open source and works with any video edge network
Wide integration list across LLMs, speech, and vision models
Stream's edge includes 333k free participant-minutes per month for developers

Cons

Built for real-time voice and video, not general text-based agents
Python only
Still pre-1.0 (v0.5), so APIs may change

Plans & pricing

What's included in each plan, and how the tiers compare.

Vision Agents (open source)

Apache-2.0 licensed framework
Self-host on any WebRTC network or local devices

Stream edge network

Usage-based

333k free participant-minutes per month for developers
Low-latency WebRTC edge with auto-scaling TURN/STUN

View official pricing page

Common use cases

Python developers building real-time voice and video agents, from phone agents to vision-based coaching and live-call assistants.

Real-time voice agents and phone agents
Video understanding, such as coaching or sports commentary
Avatars and video restyling
Agents that join live video calls

Using Stream with Respan

Vision Agents handles the real-time audio and video, and Respan covers the model calls behind it. Route, observe, and evaluate every LLM call your agent makes during a session.

Trace every model call an agent makes during a voice or video session
Track token and model spend for each agent run
Route agent model calls across 1,000+ models through one API
Get alerts in Slack, email, Teams, or a webhook when errors, latency, or cost spike

Trace the model calls behind your voice and video agents

10KFree traces/mo

1,000+Models

5 minSetup

Respan traces each model call your agent makes during a session, routes it across 1,000+ models, and scores output on live traffic, so cost and quality for every run sit on one record. Start free.

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Best Stream alternatives & competitors

Top companies in Agent Frameworks you can use instead of Stream.

OpenClaw

Connects to 50+ channels — WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Teams