Pipecat vs Radioso
Pipecat
pipecat.ai
Radioso
radioso.aiSide by side
| Figure | Pipecat | Radioso |
|---|---|---|
| Price from | $0.01/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 | 7 | 5 |
| Spec score · Conversational AI Platforms | 8.9 (#5) | 8.5 (#9) |
| Deployment | Pipecat can run on self-managed infrastructure wherever Python runs or be deployed to Pipecat Cloud, which provides scaling and observability. | Radioso can run in Radioso Cloud or on infrastructure operated by the customer, with the customer's model keys. |
| Integrations | LinkedIn describes 60-plus LLM and service integrations, multi-vendor telephony, function calling, cross-platform libraries and HTTP, WebSocket and WebRTC networking. | The maker's pages describe Slack, an embedded website widget, public chat, REST API, SDK, and MCP server as ways to interact with assistants. |
| License | The main Pipecat repository is licensed under BSD-2-Clause. | The open-source repository code outside ee/ is Apache License 2.0; ee/ is proprietary Enterprise Edition software. |
| Maker headquarters | Daily says it is fully remote and that its founding team is based in San Francisco. | The registered address is Ümera tn 25-39, Tallinn, Harju County, Estonia. |
| Self-hosting | Pipecat runs wherever Python runs and can be deployed on the user's own infrastructure. | The full platform can run on customer infrastructure with customer-managed Postgres and model keys. |
| What it does | Pipecat is an open-source Python framework for real-time voice and multimodal conversational agents. | Radioso is an open-source platform for customer-facing AI agents that answer from organizational knowledge, take actions and qualify leads. |
Plans
Pipecat
- Pipecat Cloud agent-1x reservedFree
- Pipecat frameworkFree
- Pipecat Cloud$0.01 a month
- Pipecat Cloud agent-1x active$0.01 a month
- Pipecat Cloud agent-2x active$0.02 a month
- Pipecat Cloud agent-3x active$0.03 a month
- Pipecat Cloud 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
Pipecat
Pipecat is an open-source ecosystem for building voice and multimodal AI agents. Its pipelines can handle voice, video, text, and images, with control over individual frames in a conversation. Because frames move through the pipeline as they are produced, an agent can begin responding before a person has finished speaking. The framework includes interruption handling, turn detection, context management, subagent handoffs, and Pipecat Flows, and its homepage lists more than 200 providers and services for speech, language, and vision. Transports include WebRTC, SIP, and PSTN, alongside client SDKs, a UI kit, metrics, traces, and OpenTelemetry. Teams can run it on infrastructure that supports Python or deploy it to Pipecat Cloud, which adds scaling and observability. Cloud capabilities include telephony, noise cancellation, monitoring, recordings, and persistent transcription storage. Pipecat Cloud is listed at $0.001 per participant minute for Daily WebRTC voice and $0.004 per participant minute for voice and video; connected third-party services using customer keys are billed by their providers.
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.