🚀 Core Agent Features
Agents
Fundamental agent concepts and creation
Tasks
Task definition and management
Tools
Agent tools and capabilities
Memory
Basic memory systems
🧠 Advanced Intelligence
Advanced Memory
Quality-based, entity, user, and graph memory systems
Model Router
Intelligent LLM selection based on task requirements
Model Capabilities
Model feature detection and comparison
RouterAgent
Dynamic model selection and cost optimization
🔄 Workflow & Process
Process Workflows
Conditional execution with decision nodes
Handoffs
Agent-to-agent task delegation
Approval System
Human-in-the-loop approval for critical operations
Routing
Dynamic task routing and workflow branching
📊 Data & Knowledge
Knowledge Bases
Static reference information for agents
RAG
Retrieval Augmented Generation
Chunking Strategies
Document chunking for efficient retrieval
Context Management
Automatic token limit handling
📈 Monitoring & Performance
Telemetry
Performance tracking and monitoring
Display Callbacks
Comprehensive callback system for UI
AgentOps
Third-party monitoring integration
Latency Tracking
Performance optimization metrics
🎯 Specialized Agents
AutoAgents
Automatically created and managed agents
Mini Agents
Lightweight, focused AI agents
Code Agent
Specialized agent for code generation
Math Agent
Mathematical computation specialist
🔒 Safety & Control
Guardrails
Safety constraints and validation
Approval System
Human oversight for critical actions
Session Management
Stateful interactions with persistence
Input Handling
Safe input processing and validation
🎨 UI & Integration
UI Overview
User interface options
Gradio Interface
Web-based agent interfaces
Streamlit Apps
Interactive agent applications
MCP Integration
Model Context Protocol support
🚄 Advanced Features
Async Processing
Asynchronous agent execution
Parallelization
Concurrent task execution
Multimodal
Text, image, and audio processing
Reasoning
Chain-of-thought reasoning
🛠️ Developer Tools
CLI
Command-line interface
Testing
Testing agent systems
Local Development
Development environment setup
API Reference
Complete API documentation
📚 Learning Resources
Course
Comprehensive agent development course
Examples
Real-world implementation examples
Playbook
Best practices and patterns
Video Tutorials
Video guides and demonstrations
🌟 Feature Highlights
Most Popular Features
- Memory Systems - Store and retrieve information across agent interactions
- Model Router - Automatically select the best LLM for each task
- RAG Integration - Connect agents to your knowledge bases
- Display Callbacks - Create rich, interactive UIs
- Approval System - Add human oversight to critical operations
Latest Additions
- Telemetry - Comprehensive performance monitoring
- Context Window Management - Automatic handling of token limits
- Graph Memory - Neo4j integration for complex relationships
- MCP Support - Model Context Protocol for tool integration
Enterprise Features
- Session Management - Multi-user support with persistence
- Guardrails - Safety constraints and validation
- Telemetry - Performance tracking and analytics
- Approval Workflows - Human-in-the-loop controls
Getting Started
1
Choose Your Path
- New to PraisonAI? Start with the Quickstart Guide
- Building Agents? Check out Agent Concepts
- Advanced User? Explore Advanced Memory or Model Router
2
Pick Your Features
Select features based on your use case:
- Chatbots: Memory, Sessions, Display Callbacks
- Research: RAG, Knowledge, Chunking
- Automation: Approval, Guardrails, Process
- Analysis: Telemetry, Model Router, Context Management
3
Build & Deploy
- Use the CLI for quick prototyping
- Add UI for user interaction
- Deploy with monitoring enabled
- Scale with async and parallelization
This features overview is continuously updated as new capabilities are added to PraisonAI. Check back regularly or follow our GitHub repository for the latest updates.