AI Agents - English Dataset

Comprehensive bilingual dataset on AI Agents, Multi-Agent Frameworks, and the Model Context Protocol (MCP).

Dataset Contents

Reference Articles

This dataset covers topics from the following articles:

• Autonomous AI Agents - Architecture and patterns for autonomous agents
• CrewAI, AutoGen, LangGraph - Multi-agent framework comparison
• MCP (Model Context Protocol) - The standard protocol for connecting LLMs to tools
• Function Calling and Tool Use - Function calling and tool use techniques
• AI Agent Orchestration - Orchestration patterns and production deployment

Data Structure

Each entry contains:

• id: Unique identifier
• category: Category (agent_architecture, framework, mcp_tools, anti_pattern, qa)
• subcategory: Specific subcategory
• question: Question in English
• answer: Detailed answer in English
• metadata: JSON metadata (components, use cases, pros/cons, etc.)
• source_url: Reference URL
• language: Language (en)

Usage

from datasets import load_dataset

dataset = load_dataset("AYI-NEDJIMI/ai-agents-en")

# Filter by category
architectures = [r for r in dataset["train"] if r["category"] == "agent_architecture"]
frameworks = [r for r in dataset["train"] if r["category"] == "framework"]
mcp = [r for r in dataset["train"] if r["category"] == "mcp_tools"]
anti_patterns = [r for r in dataset["train"] if r["category"] == "anti_pattern"]
qa = [r for r in dataset["train"] if r["category"] == "qa"]

Topics Covered

• ReAct (Reasoning + Acting) - Reasoning and action loop
• CrewAI vs AutoGen vs LangGraph - Detailed framework comparison
• MCP Protocol - Client-server architecture, transports, servers
• Function Calling - OpenAI, Anthropic, Google formats
• Tool Use - Best practices, security, validation
• Multi-Agent Patterns - Supervisor, Swarm, Hierarchical, Conversational
• Orchestration - Workflows, event-driven, state management
• Security - Prompt injection, privilege escalation, sandboxing
• Cost Optimization - Caching, model routing, token budgets
• Production Deployment - Monitoring, observability, testing, CI/CD

Author

AYI-NEDJIMI Consultants - Expertise in Artificial Intelligence and Compliance

Free Resources

• French version dataset: AYI-NEDJIMI/ai-agents-fr
• Complete collection: AYI-NEDJIMI on HuggingFace

License

MIT License - Free to use, modify, and distribute.

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About the Author

AYI NEDJIMI Consultants - Consulting firm specialized in Artificial Intelligence, Cybersecurity and Digital Transformation.

• Website: ayinedjimi-consultants.fr
• Expertise: Generative AI, RAG, LangChain, Cybersecurity, AI Act Compliance

Free Resources

Discover our free whitepapers on AI and cybersecurity:

• AI & Cyberdefense Whitepaper
• AI Act 2026 Guide
• And more on ayinedjimi-consultants.fr

Complete Collection

Find all our datasets on HuggingFace: AYI-NEDJIMI

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Dataset generated by AYI NEDJIMI Consultants. MIT License.