Documentation Index
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Getting Started

Introduction
Installation
Quick Start
Windows SDK Quickstart

Core Concepts

Agents
Core Components
AgentTeam
AgentFlow
AgentOS
PraisonAI Claw
BotOS
Tasks
Agent Process Types
Tools
Context
Memory
Knowledge
RAG
Planning
Reflection
Skills
Hooks
Autonomy
Autonomy vs Interactive
Ralph Loops
Output
Execution
Budget
Caching
Prompt Templates
Agent Templates
Web
MCP
Handoffs
Approval
Guardrails
Input Handling
Agent Session Management
Evaluation
Agent Learn
Agent Train
Learn vs Train
Memory vs Learning
Context vs Memory
Context vs Knowledge
Knowledge vs Memory vs Context
Store Types
Storage Paths
Hooks vs Callbacks

Guides

Guides
Building a Single Agent
Building Multi-Agent Systems

Features

Models

Models in PraisonAI
OpenAI
Ollama
Groq
Google Gemini
OpenRouter
Anthropic
AWS Bedrock
Cohere
Mistral
DeepSeek
Together AI
Other Models
Custom Provider Registry

Databases

Databases Overview

Observability

Observability Overview
Profiler
AgentOps
Langextract
Langfuse
LangSmith
Traceloop
Arize Phoenix
OpenLIT
Langtrace
LangWatch
Datadog
MLflow
Opik
Portkey
Braintrust
Maxim
Weave
Neatlogs
LangDB
Atla
Patronus
TrueFoundry
AgentOps PraisonAI Monitoring
Latency Tracking

Memory

Memory Overview
Memory Storage
Quickstart
Session Resume
Advanced Memory System
Graph Memory
Memory Advanced Search
Memory Lifecycle Hooks

Telemetry & Analytics

Token Usage Protocol

Knowledge

Knowledge Overview
Knowledge Quick Start
Knowledge Storage
Knowledge Base
Knowledge Backends
Chat with PDF

RAG

RAG Overview
RAG Quickstart
Quick Start
Configuration
Quality-Based RAG Patterns
RAG Module
Citations
RAG CLI

Persistence

Persistence Overview
Quickstart
Session Resume
Async Conversation Store
MySQL Conversation Store
Async DB Hooks

Tools

Dynamic Tool Schemas

Other Features

PraisonAI Train
Playground
CrewAI with PraisonAI
AutoGen with PraisonAI
PraisonAI Agents
API Reference
API Reference
API Reference
Workflow API
PraisonAI Call
Home
Features Overview

Developers

Complete Reference
Testing Guide
Failure Categories
Agents Playbook
PraisonAI Package Integration
Integrate with Tools
Google Colab Integration
Google Colab Tools
Local Development
Development Setup
Benchmarks
Production Deployment Guide
Testing Agents Guide
Advanced Tool Development
Contributing
Videos

Configuration

Configuration Reference
Agent Configuration
Task Configuration
LLM Configuration
Memory Configuration
LearnConfig
KnowledgeConfig
PlanningConfig
ReflectionConfig
WebConfig
OutputConfig
ExecutionConfig
TemplateConfig
CachingConfig
HooksConfig
SkillsConfig
AutonomyConfig
Tool Configuration
Guardrail Configuration
Handoff Configuration
Configuration Best Practices

Best Practices

Error Handling in Multi-Agent Systems
Debugging Multi-Agent Systems
Performance Tuning Guidelines
Security Best Practices
Token Usage Optimization
Memory Cleanup for Long-Running Apps
Agent Retry Strategies
Graceful Degradation Patterns
Multi-User Session Handling
State Conflict Resolution
Task Orchestration Best Practices

Getting Started (No Code)

Introduction
TL;DR
Installation
Initialise
Run
Auto Generation Mode

Submit Issues
MervinPraison/PraisonAI

PraisonAI home page

Submit Issues
MervinPraison/PraisonAI
MervinPraison/PraisonAI

Test

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

Test

python -m unittest tests.test

⌘I

Test

PraisonAI home page

github x youtube

Resources

GitHub Documentation

Submit Issues

GitHub Issues Twitter

github x youtube

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