crewAIInc/crewAI-examplesArchived
CrewAI Examples
This repository provides reference implementations and templates for multi-agent orchestration, retrieval-augmented generation systems, and human-in-the-loop patterns. It contains a collection of implementation patterns for coordinating multiple AI agents to automate complex business workflows and tasks.
The project demonstrates how to decouple operational logic from setup by using structured text files for agent roles and task specifications. It includes guides for integrating vector search and document processing to build question and answer systems based on external knowledge bases, as well as patterns for inserting manual validation and review steps into automated agent sequences.
The examples cover the design of iterative execution paths, parallel processing, and dynamic routing. These implementations incorporate state management to track progress across complex sequences and link agents to external APIs, databases, and file systems for tool-augmented execution.
The reference materials are provided as Jupyter Notebooks.
Features
- Role-Based Agent Orchestration - Coordinates multiple specialized AI agents by assigning distinct roles and goals to automate business workflows.
- Multi-Agent Orchestrators - Provides reference implementations for coordinating specialized AI agents to collaborate on complex business workflows.
- Vector Knowledge Bases - Integrates document processing with vector knowledge bases to provide agents with grounded external information.
- Multi-Agent Orchestration Patterns - Offers implementation patterns for coordinating multiple specialized agents to decompose and execute complex workflows.
- AI Workflow Automation - Automates repetitive professional tasks using iterative execution paths and dynamic AI routing.
- Retrieval-Augmented Generation - Implements the retrieval-to-generation pipeline to ground AI responses using external search indices.
- Human-in-the-Loop Systems - Provides tools for integrating human oversight and validation into AI-driven workflows.
- Human-in-the-Loop Workflows - Implements manual review checkpoints and validation steps within automated agent sequences.
- Tool-Augmented Language Models - Extends language model capabilities by linking agents to external APIs, databases, and file systems.
- RAG Implementations - Implements RAG architectures that retrieve relevant documents from vector stores to augment LLM context.
- Iterative Routing - Provides patterns for designing iterative execution paths and dynamic routing to achieve complex goals.
- Agentic Workflows - Provides frameworks for designing autonomous agent processes using iterative refinement and state management.
- External API Tool Exposures - Demonstrates how to expose external API functions as callable tools for AI agents to execute actions.
- YAML-Defined Agents - Defines custom agents and their toolkits using YAML files to decouple configuration from code.
- External Service Integrations - Provides implementations for connecting AI agents to third-party APIs and external platforms to fetch data.
- Workflow State Managements - Includes state management to track progress and context across iterative loops and parallel processing sequences.
- Agent Task State Persistence - Tracks progress and context across iterative loops to maintain consistency during complex agent sequences.
- Iterative Execution Paths - Implements iterative execution paths with dynamic routing and parallel processing to automate complex tasks.
- RAG Implementation Guides - Provides step-by-step frameworks and examples for building retrieval-augmented generation systems.
- YAML Configuration Files - Uses structured YAML files to separate agent definitions and task specifications from execution logic.
- Agent Configuration Files - Defines agent roles and task specifications in YAML files to decouple operational logic from setup.
- Agent Frameworks - Collection of practical implementation examples for multi-agent systems.
- Agent Framework Examples - Collection of role-based multi-agent workflows for business automation.
