LiveKit Agents vs Radioso
LiveKit Agents
livekit.com
Radioso
radioso.aiSide by side
| Figure | LiveKit Agents | Radioso |
|---|---|---|
| Price from | $50/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 5 |
| Spec score · Conversational AI Platforms | 9.1 (#2) | 8.5 (#9) |
| Deployment | Agents can be deployed to LiveKit Cloud or to a custom environment of the developer’s choice. | Radioso can run in Radioso Cloud or on infrastructure operated by the customer, with the customer's model keys. |
| Documentation | Official documentation includes quickstarts, recipes, SDK references, API references, deployment guidance, telephony, models, testing, and troubleshooting material. | The site links to a separate documentation portal, setup guide and API reference, although the docs portal was not fetchable in this research session. |
| Headquarters | San Francisco, California, United States | Tallinn, Estonia |
| Integrations | LiveKit Inference provides models from providers including OpenAI, Google, AssemblyAI, Deepgram, Cartesia, and ElevenLabs, while open source plugins connect to additional providers. | The maker's pages describe Slack, an embedded website widget, public chat, REST API, SDK, and MCP server as ways to interact with assistants. |
| Product | LiveKit Agents is an open source framework and cloud platform for building voice, video, and physical AI agents. | Radioso provides open-source AI agents for resolving support tickets, answering from help centers, and qualifying leads. |
| Security | LiveKit says prompts, audio, and completions handled by LiveKit Inference and its model providers are not logged or retained. | The company describes encryption in transit, access controls, audit logging, and least-privilege operational practices as security measures. |
| Self-hosting | Organizations can run LiveKit servers and Agents on local machines, virtual machines, Kubernetes, or distributed multi-region infrastructure. | The full platform can run on customer infrastructure with customer-managed Postgres and model keys. |
| What it does | LiveKit Agents is a realtime framework and cloud platform for building voice, video, and physical AI agents. | Radioso is an open-source platform for customer-facing AI agents that answer from organizational knowledge, take actions and qualify leads. |
Plans
LiveKit Agents
- BuildFree
- Ship$50 a month
- Scale$500 a month
- EnterprisePriced on request
Radioso
- Open sourceFree
- Open-source editionFree
- Enterprise EditionPriced on request
- Enterprise EditionPriced on request
- Radioso CloudPriced on request
In their own words
LiveKit Agents
LiveKit Agents is an open source framework and cloud platform for building voice, video, and physical AI agents. Python or Node.js programs can join LiveKit rooms as realtime participants, and deployments can run on LiveKit Cloud or a developer-chosen environment. Agents can process realtime voice, video, and text input and produce output in any modality. The framework supports LLM tool use, frontend RPC calls, multi-agent handoffs, and connections to phone systems through native SIP. LiveKit Inference provides models from providers including OpenAI, Google, AssemblyAI, Deepgram, Cartesia, and ElevenLabs; open source plugins connect to other providers. LiveKit Cloud includes agent insights such as session replay, transcripts, trace spans, logs, and reports. The free Build plan includes 1,000 agent session minutes, five concurrent sessions, and one deployment. Ship starts at $50 a month and includes 5,000 minutes, then $0.01. LiveKit says prompts, audio, and completions handled by LiveKit Inference and its model providers are not logged or retained. It lists SOC 2 Type II, GDPR, HIPAA, CCPA / CPRA, and the EU–US Data Privacy Framework; PCI DSS and ISO 27001 are in progress.
Radioso
Radioso provides open-source AI agents for support tickets, help-center answers and lead qualification. Agents can use policies and help-center content for routine work such as returns and escalations, call tools, trigger webhooks, run multi-step routines and hand difficult conversations to people with context. Answers can cite uploaded documents and knowledge shared across channels. Assistants are reachable through Slack, an embedded website widget, public chat, REST API, SDK and MCP server; in Slack, users can mention @Radioso or send a direct message. Radioso runs in its cloud or on customer-operated infrastructure using the customer’s model keys. The Open source plan costs nothing, includes all product features and supports self-hosting. Radioso says ingested content, conversations and prompts are not used to train its own models. Radioso Cloud uses Google Cloud Platform in an EU region and PostHog EU Cloud for analytics, while configured AI providers may process prompts and retrieved context primarily in the United States. Security measures listed include encryption in transit, access controls, audit logging and least-privilege practices.