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Welcome to PraisonAI

Core Features

Getting Started

Key Components

Explore Further

PraisonAI Documentation

Community

Get started with PraisonAI, an intelligent AI-powered tool

Introduction

Comprehensive guide to PraisonAI - an AI Agents Framework with Self Reflection, combining PraisonAI Agents, AutoGen, and CrewAI for building multi-agent LLM systems

Home

Praison AI

Welcome to PraisonAI - The Next Generation AI Agent Framework

Set up PraisonAI in your development environment

Installation

Quick Start

Agents

Tasks

Process

Tools

Quick start guide for PraisonAI with CrewAI, AutoGen, and UI setup instructions

TL;DR

Guide for installing PraisonAI and its various components including framework support and additional features

Instructions for initializing PraisonAI with API keys and creating the initial agents configuration file

Initialise

Instructions for running PraisonAI from the command line, including framework selection and automatic mode

Guide to PraisonAI's automatic agent generation feature, supporting both CrewAI and AutoGen frameworks for automated task execution

Auto Generation Mode

Comprehensive guide to PraisonAI's user interfaces, including Chainlit, Gradio, and Streamlit integrations with step-by-step setup instructions

Guide to PraisonAI's chat interface with support for 100+ LLMs, internet search, vision models, and custom database configurations

PraisonAI Chat

Guide to PraisonAI's code interface for interacting with your codebase using AI, including file management, model configuration, and advanced features

PraisonAI Code

Guide to PraisonAI's real-time voice interaction feature with text-to-speech, voice input processing, and financial data integration

Realtime Voice Interface

Self-reflection is a powerful feature in PraisonAI that enables agents to evaluate and improve their own responses before delivering them. This leads to higher quality outputs and more reliable task completion.

Self-Reflection

Self Reflection AI Agents

Reasoning enables AI agents to think logically, solve complex problems autonomously, and make human-like decisions through multi-step logical reasoning.

Reasoning

Reasoning AI Agents

Guide for creating and using multimodal AI agents in PraisonAI for processing images, videos, and other media types

Multimodal AI Agents

Async AI Agents allow you to run AI tasks asynchronously, improving performance and efficiency in your applications.

Async AI Agents

Learn how to create simple yet powerful AI agents in just a few lines of code.

Mini AI Agents

Learn how to create AI agents that can write and execute Python code safely using e2b code interpreter.

Code Agent

Code Execution Agent

Learn how to create AI agents that return structured, type-safe outputs using Pydantic models and JSON.

Structured AI Agents

Learn how to implement callbacks to monitor and log AI agent interactions, errors, and task completions.

Callbacks

AI Agents with Callbacks

Guide for training and deploying models with PraisonAI, including Hugging Face and Ollama integration with detailed configuration options

PraisonAI Train

Guide for using PraisonAI Agents framework, a lightweight package for creating and managing AI agents with advanced capabilities

PraisonAI Agents

Guide for using CrewAI framework with PraisonAI, including installation, setup, and execution of agent-based tasks

CrewAI with PraisonAI

Guide for using AutoGen framework with PraisonAI, including installation, setup, and multi-agent conversation capabilities

AutoGen with PraisonAI

Overview of supported language models in PraisonAI, including OpenAI, Groq, Google Gemini, Anthropic Claude, and configuration examples

Models in PraisonAI

Guide for integrating OpenAI's ChatGPT models with PraisonAI, including configuration for both single and multi-agent setups

OpenAI ChatGPT

Instructions for integrating Ollama's open-source language models with PraisonAI, including configuration and usage examples

Ollama

Guide for integrating Groq's high-performance language models with PraisonAI, including API setup and configuration

Groq

Instructions for integrating Google's Gemini models with PraisonAI, including API setup and configuration details

Google Gemini

Guide for integrating OpenRouter's unified API access to various language models with PraisonAI, including setup and configuration

OpenRouter

Instructions for integrating Anthropic's Claude models with PraisonAI, including API setup and agent configuration

Anthropic

Guide for integrating Cohere's language models with PraisonAI, including API setup and configuration examples

Cohere

Guide for integrating Mistral AI's language models with PraisonAI, including API configuration and usage instructions

Mistral

Configuration examples for various other language models with PraisonAI, including Ollama, FastChat, LM Studio, and Mistral API

Other Models

Overview of PraisonAI's built-in tools for data search, analysis, and web scraping capabilities

Step-by-step guide for creating and implementing custom tools in PraisonAI, including examples and configuration instructions

Create Custom Tools

Guide for using the PraisonAI Tools Creator GPT to quickly develop and implement custom tools for PraisonAI

PraisonAI Tools Creator GPT

Guide for integrating DuckDuckGo search capabilities with PraisonAI agents for web search functionality

DuckDuckGo PraisonAI Integration

Guide for integrating Langchain tools and utilities with PraisonAI, including direct tool integration and wrapper implementations

Langchain Tools

Guide for integrating Firecrawl web scraping capabilities with PraisonAI, including custom tool implementation for web page content extraction

Firecrawl PraisonAI Integration

Guide for integrating Wikipedia search capabilities with PraisonAI agents using the Wikipedia API wrapper

Wikipedia PraisonAI Integration

Guide for integrating YouTube search capabilities with PraisonAI agents using the YouTube Search API

YouTube Search PraisonAI Integration

Guide for integrating Tavily's search API with PraisonAI agents for enhanced web search capabilities

Tavily PraisonAI Integration

Guide for integrating Reddit search capabilities with PraisonAI agents, including API setup and configuration

Reddit PraisonAI Integration

Guide for integrating You.com search capabilities with PraisonAI agents using the You.com Search API

You.com PraisonAI Integration

Guide for integrating Crawl4AI web scraping capabilities with PraisonAI agents, enabling structured data extraction from websites

Crawl4AI PraisonAI Integration

Guide for integrating Mem0 (formerly EmbedChain) memory management system with PraisonAI, including tools for storing, retrieving, and managing memories

Mem0 and PraisonAI Integration

Guide for setting up and using AgentOps monitoring with PraisonAI, including installation and dashboard configuration

AgentOps PraisonAI Monitoring

Instructions for running and writing tests for PraisonAI components, including unit tests and test automation

Test

Examples and templates for creating PraisonAI agent playbooks, from simple to detailed configurations with multiple roles and tasks

Agents Playbook

Guide for integrating the PraisonAI package into your Python projects, including YAML configuration and different execution modes

PraisonAI Package Integration

Guide for integrating external tools and APIs with PraisonAI, including examples of custom tool creation and implementation

Integrate with Tools

Guide for using PraisonAI in Google Colab environments, with example code and configurations for agent-based tasks

Google Colab Integration

Guide for implementing and using custom tools in PraisonAI with Google Colab, including examples of internet search and data processing tools

Google Colab Tools

Guide for deploying PraisonAI to cloud platforms, with detailed instructions for Google Cloud deployment

Component	Description	Benefits
UI Tools	Intuitive interface components	Easy system interaction and monitoring
Model Integration	Support for various LLM models	Flexibility in AI model selection
Tool System	Extensible tool framework	Custom capability integration
API Layer	Comprehensive API access	Full programmatic control

Getting Started (Code)

Core Concepts

Getting Started (No Code)

User Interface

Features

Models

Tools (No Code)

Monitoring

Developers

API Reference

Introduction

Welcome to PraisonAI

Core Features

Multi-Agent Systems

Framework Integration

Low-Code Design

Human-AI Interaction

Getting Started

Key Components

Explore Further

User Interface

Models

Tools

API Reference

Getting Started (Code)

Core Concepts

Getting Started (No Code)

User Interface

Features

Models

Tools (No Code)

Monitoring

Developers

API Reference

​Welcome to PraisonAI

​Core Features

Multi-Agent Systems

Framework Integration

Low-Code Design

Human-AI Interaction

​Getting Started

​Key Components

​Explore Further

User Interface

Models

Tools

API Reference

Welcome to PraisonAI

Core Features

Getting Started

Key Components

Explore Further