Home › Agent Frameworks › Pipecat

Pipecat - AI Agent Frameworks Tool

Overview

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. It emphasizes robust handling of transcription data and provides source code and project information on GitHub.

Key Features

  • Open-source Python framework
  • Designed for real-time voice interactions
  • Support for multimodal conversational agents
  • Robust handling of transcription data
  • Source code and project hosted on GitHub

Ideal Use Cases

  • Voice-enabled conversational assistants
  • Prototyping multimodal agent interactions
  • Transcription-focused interaction pipelines
  • Research and experimentation in real-time conversational AI
  • Integrating speech interfaces into Python applications

Getting Started

  • Open the GitHub repository and read the README.
  • Clone the repository to your development machine.
  • Follow the repository README for installation instructions.
  • Follow README usage instructions to run or adapt agent code.

Pricing

No pricing information is provided. The project is published as open-source on GitHub.

Key Information

  • Category: Agent Frameworks
  • Type: AI Agent Frameworks Tool
Visit Official Website

Related Tools

AG2

AG2 (formerly AutoGen) is an open-source software platform designed for building AI agents and facilitating multi-agent interactions to solve complex tasks. It supports integration with various large language models and provides various orchestration patterns for AI agents, enabling flexible and efficient tool usage and human collaboration.
elizaOS

A framework for creating autonomous agents, featuring connectors for Discord, Twitter, and Telegram, support for various AI models, multi-agent functionality, document ingestion, and memory storage capabilities.
Smolagents

A barebones framework for building AI agents that support multi-modal inputs and tool integration.
SuperAGI

A dev-first open source autonomous AI agent framework designed for building, managing, and running autonomous agents.
LangChain

A comprehensive framework for building context-aware applications powered by large language models, featuring standard interfaces for models, embeddings, and vector stores.
SmythOS

SmythOS lets you build and deploy AI agents without manual coding. Describe your needs, and Agent Weaver creates it automatically using the best AI models and APIs. Integrate with OpenAI, Hugging Face, Amazon Bedrock, and more—no manual coding required.