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It's a split decision.
Docker and LiveKit solve different parts of an AI stack. Choose Docker for container development, local agent workflows, and sandbox isolation that can move to cloud sandboxes. Choose LiveKit to build and deploy real-time voice, video, or phone agents using its framework and managed cloud. Docker’s listed plans are primarily subscriptions for developer and team tools; LiveKit’s costs scale with agent minutes and other usage. They can fit together when agents need both real-time sessions and controlled execution.
01Side by side
| Docker | LiveKit | |
|---|---|---|
| Pricing model | Free Personal; Pro starts at $9/user/month annually | Free Build; Ship costs $50/month |
| Free tier | Personal includes one user and 100 Hub pulls/hour | Build includes 1,000 agent minutes and five concurrent sessions |
| Open source and licence | Platform not described as open source | Framework is open source; licence not specified |
| Self-hosting | Local workflows and cloud sandboxes are available | Cloud deployment documented; self-hosting terms unpublished |
| API and SDKs | Homepage shows agent commands, not an SDK list | Voice-agent quickstarts use Python and Node.js |
| Integrations | Existing images, registries, CI, Claude, MCP, OCI | Model gateway, phone numbers, and SIP |
| Deployment model | Docker Desktop, local workflows, and cloud sandboxes | Managed deployment and scaling on LiveKit Cloud |
| Limits and scaling | Personal: 100 Hub pulls/hour; paid plans add features | Scale: up to 600 concurrent agent sessions |
Docker Choose Docker if
- Choose Docker if you need container development alongside agent workflows.
- Choose Docker if local sandboxing and cloud sandboxes fit your deployment path.
- Choose Docker if your stack already uses images, registries, and CI.
LiveKit Choose LiveKit if
- Choose LiveKit if you are building real-time voice or video agents.
- Choose LiveKit if agents need phone numbers or SIP integrations.
- Choose LiveKit if you want session observability and managed cloud deployment.
02Pricing at real usage
Docker Personal is free for one user and includes one Docker Scout-enabled repo, 100 Docker Hub pulls per hour, and one private repo. Pro costs $11 per user monthly or $9 annually; Team is $16 monthly or $15 annually, and Business is $24 under either billing option. These plans bundle different Docker features, including Testcontainers Cloud minutes; extra minutes cost $3 per 100, or $4 per 100 on demand. LiveKit Build is free with 1,000 agent session minutes, five concurrent sessions, one deployment, and $2.50 in inference credits. Ship costs $50 monthly and includes 5,000 minutes, then $0.01 per minute; Scale costs $500 with 50,000 minutes, then the same overage rate. Recording, telephony, model use, and observability can add charges.
03API, SDKs and integration
Docker fits into a container-based development stack. Docker Desktop brings containers into the development loop, while the homepage shows agent commands such as docker agent run and sbx run. Docker says teams can keep their existing images, registries, and CI, and describes its platform as OCI-compliant. It also names Claude and MCP in its agent workflows. The homepage does not list a language SDK or public API for the agent features. LiveKit is a framework and cloud platform built around real-time agent sessions. Its homepage offers voice-agent quickstarts in Python and Node.js, with examples configuring speech-to-text, language-model, and text-to-speech providers. Its inference gateway provides access to TTS, LLM, and STT models; telephony integrations include phone numbers and SIP. LiveKit links to documentation, starter apps, and a Cloud deployment path. The pages list automatic turn detection, interruption handling, and session observability as platform features.
04Open source, self-hosting and lock-in
LiveKit describes its agent framework as open source, but the vendor does not specify the framework’s licence on its homepage. Its cloud platform is a separate deployment option; self-hosting terms are not published there. Docker’s homepage describes OCI compliance and platform independence, but does not describe the Docker platform as open source or publish a licence for its agent features. It supports local workflows and cloud sandboxes, which is not the same as documenting a self-hosted LiveKit-style server. Docker emphasizes that existing images, registries, and CI can remain in place. LiveKit lets developers customize agent behavior and model choices, and its gateway connects to named model categories. Neither vendor publishes a data-export policy on the cited product pages. Before committing, ask about exporting recordings, session logs, policies, and agent state, and test how much application logic depends on vendor-specific services.
Questions people ask
Are Docker and LiveKit direct alternatives?
No. Docker provides container-development tools and agent isolation; LiveKit provides an agent framework and cloud platform for real-time voice, video, and telephony. A team may use each for a different layer, such as LiveKit for sessions and Docker for controlled execution.
Which is cheaper for a small project?
Docker Personal and LiveKit Build are both free, but their limits measure different things. Docker Personal includes one user and 100 Docker Hub pulls per hour. LiveKit Build includes 1,000 agent session minutes and five concurrent sessions. Estimate using the limits relevant to your workload.
Can I build a voice agent with Docker?
Docker’s homepage describes agent sandboxes, container development, and governance, not a voice-agent framework. LiveKit specifically offers a voice-agent framework, model gateway, telephony integrations, and Python and Node.js quickstarts. Docker may support the surrounding container workflow.
Does LiveKit support self-hosting?
LiveKit documents deploying and scaling agents on LiveKit Cloud and describes its framework as open source. The vendor does not publish self-hosting terms on its homepage. Confirm deployment options, support, and licence terms with LiveKit if you need to run the service yourself.