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pipecat-ai
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pipecat-ai/pipecat

Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.

Python ◇ ai BSD-2-Clause
★16.1KSTARS
⑂2.8KFORKS
!359ISSUES
🏆#682GLOBAL RANK
🔥3DAYS TRENDING
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Momentum

+402

STARS · LAST 30 DAYS

13

PER DAY

#121

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+91+402+1.2K
Per day131313
Forks gained+14+56+139

pipecat gained 402 stars in the last 30 days, about 13 a day, and now has 16.1K. It is about 3 years old and has averaged roughly 5.4K stars a year. It ranks #121 among Python repositories and #682 across all languages on GitHubRepo.

Trending Record

pipecat has maintained a continuous presence across global trending indexes, peaking at #2044. Below is the 30-day activity profile:

💡 Overview

pipecat is an open-source project written in Python: Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, chatbot-framework, chatbots. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install pipecat

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

pipecat coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with pipecat.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install pipecat using your package manager: `pip install pipecat`

2

Initialize your project workspace or configuration file for pipecat.

3

Import pipecat into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `pipecat --help` to verify successful setup.

👍 Strengths

Active community backing with 16,073 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-2-Clause license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

pipecat-ai/pipecat is currently ranked #682 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#676 FreshRSS/FreshRSS PHP ★ 16.2K Compare ↗
#678 quickwit-oss/tantivy Rust ★ 16.2K Compare ↗
#679 winsiderss/systeminformer C ★ 16.1K Compare ↗
#680 Jackett/Jackett C# ★ 16.1K Compare ↗
#681 ast-grep/ast-grep Rust ★ 16.1K Compare ↗
#682 pipecat-ai/pipecat This Project Python ★ 16.1K
#683 alibaba/zvec C++ ★ 16.1K Compare ↗
#684 Automattic/harper Rust ★ 16K Compare ↗
#685 apache/doris Java ★ 16K Compare ↗
#686 ArduPilot/ardupilot C++ ★ 16K Compare ↗
#687 jdg/MBProgressHUD Objective-C ★ 15.9K Compare ↗

Frequently Asked Questions

What does pipecat do? +

Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community.

What language is pipecat written in? +

The primary language is Python. Topics include: ai, chatbot-framework, chatbots, real-time, voice.

Is pipecat actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 359 open issues being tracked.

How many stars does pipecat have? +

pipecat has 16,073 stars and 2,786 forks on GitHub.

How does pipecat rank among GitHub repositories? +

With 16,073 stars, pipecat-ai/pipecat is ranked #682 globally across all repositories tracked on GitHubRepo and #121 among Python projects.

What license is pipecat distributed under? +

The repository reports a BSD-2-Clause license. Always verify the repository LICENSE file for legal terms.

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