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Pipecat review

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents, maintained by Daily and the community.

Updated Nov 1, 2026. Review written Oct 22, 2026 from the project's own sources; usage data refreshed every Monday.

TL;DR

Pipecat is an open-source Python framework for real-time voice and multimodal AI agents. It is for developers building voice assistants, support bots, companions, or multi-agent systems. It composes pluggable speech, LLM, and transport services into streaming pipelines, and it ships a CLI that scaffolds projects for coding assistants.

Pipecat at a glance

Category
Voice and realtime
Maintained by
Pipecat (organization, @pipecat-ai on GitHub)
License
BSD 2-Clause
Language
Python, TypeScript, Jinja
Repository
github.com/pipecat-ai/pipecat
Website
pipecat.ai
PyPI package
pipecat-ai 1.13.0
Latest release
v1.13.0 on GitHub, Oct 19, 2026
First published
Dec 27, 2023

What Pipecat does

  • Pipecat integrates speech recognition, text-to-speech, and conversation handling into streaming conversation pipelines built from modular components.
  • Pipecat lets you swap speech, language, and vision services from many integrated providers, usually with one line of code.
  • Pipecat supports multi-agent systems where each pipeline is an agent, composed through handoff, parallel fan-out, sidecar workers, or distributed deployments.
  • Pipecat connects agents over transports such as Daily WebRTC, LiveKit, FastAPI WebSocket, WhatsApp, and local audio.
  • Pipecat Flows, built into Pipecat, handles predefined or dynamic conversation paths with state management.
  • Pipecat handles interruptions, turn detection, and context management, and reports metrics, traces, and OpenTelemetry data.
  • Pipecat accepts files and images sent by clients and adds them to the LLM context, as of v1.13.0.

How it works

Pipecat runs as a Python process. It streams frames through a pipeline of services, and no stage waits on the one before it. You compose speech-to-text, LLM, and text-to-speech or speech-to-speech services, then connect a transport such as WebRTC or WebSockets. Clients connect through official SDKs for JavaScript, React, React Native, Swift, Kotlin, C++, and ESP32.

How to install and start using Pipecat

Add to a project with uv

uv add pipecat-ai

Install the CLI with uv

uv tool install "pipecat-ai[cli]"

First steps

  1. Run `pipecat init quickstart` or follow the quickstart guide in the documentation.
  2. Run `pipecat init` and choose either to build with a coding agent or to scaffold a runnable bot right away.
  3. Pipecat init registers the Context Hub MCP server so your coding agent uses current Pipecat APIs.
  4. Use the Pipecat CLI to monitor your agent and deploy it to production.

Who Pipecat is for

  • Python developers building real-time voice assistants or phone and support bots
  • Teams building multi-agent voice systems with handoffs and parallel specialists
  • Developers who want to mix and swap speech and LLM providers in one pipeline
  • Projects that need multimodal input such as voice, video, and images

Limitations to know

  • Pipecat's server framework is Python-only and requires Python 3.11 or later.
  • Pipecat orchestrates external AI services, so speech and model quality depend on the providers you choose.
  • Pipecat file messages raise errors for MIME types an LLM adapter does not support.

Is Pipecat growing? Usage data

In the week of Oct 25–31, 2026, Pipecat ranked #111 on the Devtoolwatch Board and #5 in Voice and realtime, with a momentum score of 61 out of 100. Its main package had 348.5k downloads that week, +13% against its own 4-week average.

New GitHub stars per week for Pipecat12 weeks from Aug 9, 2026: 125, 349, 474, 313, 222, 202, 226, 276, 188, 224, 236, 179 new stars, an average of 251 a week.Aug 9week of Oct 25
New GitHub stars per week for the last 12 weeks, from GitHub's stargazer history (today's stargazers by the week they starred).
Show the weekly numbers
New GitHub stars per week for Pipecat
Week ofNew stars
Aug 9, 2026125
Aug 16, 2026349
Aug 23, 2026474
Aug 30, 2026313
Sep 6, 2026222
Sep 13, 2026202
Sep 20, 2026226
Sep 27, 2026276
Oct 4, 2026188
Oct 11, 2026224
Oct 18, 2026236
Oct 25, 2026179

On Hacker News

The Board ranks tools by four signals each week: new stars, new stars for the repo's size, added downloads and download growth beyond the market. How the ranking works.

Pipecat alternatives

Other voice and realtime AI tools on the Board in the week of Oct 25–31, 2026, by momentum:

Voice and realtime ranked by momentum, the week of Oct 25–31, 2026
RankToolStarsDownloads/wk
#1faster-whisperfaster-whisper is a Python reimplementation of OpenAI's Whisper speech-to-text model built on the CTranslate2 inference engine for…26.4k4.4M
#2KokoroKokoro is a Python inference library for Kokoro-82M, an open-weight text-to-speech model with 82 million parameters.9.8k150.7k
#3ChatterboxChatterbox is a family of open-source text-to-speech and voice cloning models by Resemble AI, with English and multilingual variants.27.5k73.2k
#4VoiceMemInfrastructure for the next generation of voice agents, designed to provide universal memory. It is divided into a left brain and a…2.8k–
#6WhisperXWhisperX is a Python speech recognition tool built on Whisper that adds word-level timestamps and speaker diarization.25k158.6k
#7LiveKit AgentsLiveKit Agents is an open-source Python framework for building realtime voice, video, and multimodal AI agents that join LiveKit rooms…15k2.4M

All voice and realtime AI tools, ranked

Recent Pipecat releases

Pipecat FAQ

Is Pipecat free and open source?

Yes. Pipecat's source code is on GitHub (pipecat-ai/pipecat) under the BSD 2-Clause license, so you can use it for free.

How do I install Pipecat?

Run uv add pipecat-ai. The pipecat-ai package needs Python 3.11 or newer. The install section above has the other options from the project's README.

Is Pipecat still maintained?

Yes. The pipecat-ai/pipecat repository was last updated on Oct 22, 2026, and the latest release, v1.13.0 on GitHub, came out on Oct 19, 2026.

How popular is Pipecat?

Pipecat has 17k GitHub stars as of Nov 1, 2026. It gained 179 new stars in the week of Oct 25–31, 2026, against a 12-week average of 251 a week. Its main package had 348.5k downloads that week, +13% against its own 4-week average. That made it #5 among voice and realtime AI tools on the Devtoolwatch Board.

Pipecat vs LangChain: how do they compare?

Pipecat and LangChain are both tracked by Devtoolwatch. Pipecat has 17k GitHub stars and LangChain has 148.8k. In the week of Oct 25–31, 2026, Pipecat's main package had 348.5k downloads and LangChain's had 41.1M. LangChain review.

Pipecat vs LangGraph: how do they compare?

Pipecat and LangGraph are both tracked by Devtoolwatch. Pipecat has 17k GitHub stars and LangGraph has 44.2k. In the week of Oct 25–31, 2026, Pipecat's main package had 348.5k downloads and LangGraph's had 18.5M. LangGraph is a low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful agents in Python or JavaScript. LangGraph review.

What are the best alternatives to Pipecat?

Other voice and realtime AI tools on the Devtoolwatch Board in the week of Oct 25–31, 2026, by momentum: faster-whisper (#1), Kokoro (#2), Chatterbox (#3), VoiceMem (#4), WhisperX (#6). The alternatives table above has their numbers.

What is Pipecat?

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. Daily maintains it together with the community.

What is Pipecat used for?

Pipecat is used to build voice assistants, multi-agent systems, AI companions, multimodal interfaces, interactive storytelling, business agents such as customer intake and support bots, and complex dialog systems.

How does Pipecat work?

Pipecat streams frames through a pipeline of modular services as they are produced, so an agent can start responding while the user is still talking. You compose speech, LLM, and TTS services and connect a transport such as WebRTC or WebSockets.

What is Pipecat Flows?

Pipecat Flows is built into Pipecat. It handles predefined or dynamic conversation paths with state management, for conversations that need to follow a defined path.

What is Pipecat Cloud?

Pipecat Cloud is a managed option that runs, scales, and observes your Pipecat agents, so you do not manage the infrastructure. You can also self-host Pipecat anywhere Python runs.

Is Pipecat open source?

Pipecat is open source. The framework's GitHub repository describes it as an open-source framework for voice agents, multimodal apps, and realtime AI.

Sources

  1. pipecat-ai/pipecat on GitHub
  2. Pipecat README
  3. pipecat-ai on PyPI
  4. Pipecat website
  5. Release v1.13.0 (Oct 19, 2026)
  6. Release v1.12.0 (Sep 26, 2026)
  7. Release v1.11.0 (Sep 18, 2026)
  8. Hacker News: Show HN: An open source framework for voice assistants
  9. Hacker News: Show HN: Open-Source Quarter Sized AI Voice Assistant (ESP32-Pipecat)
  10. Devtoolwatch Board, the week of Oct 25–31, 2026

Pipecat README badge

Maintainers can show the tool's weekly Board rank in their README:

Devtoolwatch badge for Pipecat

[![Devtoolwatch](https://index.devtoolwatch.com/badge/pipecat.svg)](https://index.devtoolwatch.com/tools/pipecat/)

How this page is made: Devtoolwatch writes each review from the project's README, releases, package metadata and website, with an AI model, then checks every claim against the source it cites and drops what the sources don't support. The numbers come from Devtoolwatch's daily GitHub snapshots, GitHub's stargazer history, and the npm and PyPI download APIs. Spotted an error? Email [email protected].