pipecat-ai / pipecat
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.
github.com/pipecat-ai/pipecatIndexed at 7edf725Up to date with upstream
What is pipecat?
pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. It connects audio and video, AI services, transports, and conversation pipelines so developers can build single-agent or multi-agent systems. The project is primarily written in Python, with TypeScript and JavaScript components.
Written by a model from the README and the source
1,792 files and 22,357 symbols in 6 modules, led by Python (1,483 files) and TypeScript (64).
Code health
This codebase scores 7.3 out of 10 for code health, which we rate good. It also scores maintainability 8.0 and static performance 9.9 out of 10. The three are scored separately and never blended into one number. Risk is concentrated, as it usually is: 340 of 1,792 files are git hotspots, and they average 6.1 — which is where the fixes pay off most.
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Explore pipecat
- DocumentationModule-by-module documentation, 2,336 pages.
- ArchitectureDependency graph, layers and third-party dependencies.
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- OverviewEverything else the index found: contributors, decisions, what changed this week.
Key features of pipecat
- Pipecat supports real-time voice assistants with speech recognition, text-to-speech, and conversation handling.
- Pipecat supports multi-agent systems with handoffs, parallel fan-out, sidecars, and distributed deployments.
- Pipecat provides composable pipelines built from modular components.
- Pipecat supports multimodal interfaces involving voice, video, images, and other media.
- Pipecat integrates with AI services and transports including WebSockets and WebRTC.
- Pipecat includes structured conversations with state management through Pipecat Flows.
How pipecat-ai/pipecat works
Input enters through transports such as WebRTC, WebSockets, or local connections and moves through composable conversation pipelines. Pipelines connect processors for speech recognition, language models, text-to-speech, media, and conversation handling. The src directory contains the framework implementation, including services, processors, transports, and other core components. The src/pipecat/services/tts_service.py file defines text-to-speech service functionality. The src/pipecat/processors/aggregators/llm_response_universal.py file handles aggregation of language-model responses. Multi-agent examples in examples/multi-worker show handoffs, remote proxies, and UI workers across processes or machines. Results can include streamed voice, video, images, and other multimodal responses.
The codebase has 1,792 files and 22,357 symbols in 6 modules, led by Python, TypeScript and JavaScript. Code health is 7.3 out of 10, rated good.
Getting started with pipecat
- Install the Pipecat CLI.
uv tool install "pipecat-ai[cli]" - Create a new project interactively.
pipecat init - Install Pipecat in a manually created project.
uv add pipecat-ai
Commands copied from the README
pipecat-ai/pipecat FAQ
What is pipecat?
pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. It supports single-agent and multi-agent systems.
How does pipecat work?
pipecat connects transports, AI services, media processing, and composable conversation pipelines. Pipelines process inputs such as audio or video and produce conversational responses.
How do I install pipecat?
pipecat can be installed with uv add pipecat-ai, or with uv tool install "pipecat-ai[cli]" for the CLI. The CLI can create a project with pipecat init.
What language is pipecat written in?
pipecat is primarily written in Python. The repository also includes TypeScript and JavaScript components.
How is the pipecat code organized?
pipecat is organized mainly under src, with examples, tests, scripts, docs, and evals as separate top-level directories. The pyproject.toml file defines the Python package configuration.
Who is pipecat for?
pipecat is for developers building real-time voice agents, multimodal conversational applications, and multi-agent systems. It supports assistants, companions, business agents, and structured dialog systems.
What license does pipecat use?
pipecat uses the BSD-2-Clause license.
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