Learning Resources
Curated guides, documentation, and tools for building better agents.
Getting Started
Introduction to AI Agents
GuideA comprehensive beginner's guide covering the fundamentals of AI agents, their architecture, and common use cases.
Building Your First Agent
GuideStep-by-step tutorial for creating a simple AI agent from scratch, covering setup, basic capabilities, and deployment.
Agent Development Quickstart
Video15-minute video walkthrough of setting up your development environment and creating a basic conversational agent.
Documentation
OpenClaw Documentation
DocsOfficial documentation for OpenClaw, the agentic runtime platform. Includes API reference, tool guides, and examples.
Anthropic Claude API Reference
DocsComplete API documentation for Claude, including model capabilities, prompt engineering best practices, and code examples.
Model Context Protocol (MCP) Spec
DocsTechnical specification for the Model Context Protocol, enabling standardized communication between agents and data sources.
OpenAI Assistants API Guide
DocsOfficial guide to building agents with OpenAI's Assistants API, including function calling and retrieval patterns.
Tutorials
Mastering Tool Use in Agents
GuideDeep dive into implementing tool calling, handling responses, error recovery, and chaining multiple tools together.
Building Agent Memory Systems
GuideTutorial on implementing short-term and long-term memory for agents, including vector databases and retrieval strategies.
Designing Multi-Agent Systems
GuideLearn how to coordinate multiple specialized agents, handle inter-agent communication, and manage distributed workflows.
Production Deployment Strategies
VideoVideo tutorial covering deployment patterns, scaling considerations, monitoring, and cost optimization for production agents.
Tools & Libraries
LangChain Framework
ToolPopular Python/JavaScript framework for building LLM-powered applications with chains, agents, and memory abstractions.
Microsoft AutoGen
ToolOpen-source framework for building multi-agent conversational systems with customizable agent roles and capabilities.
CrewAI
ToolFramework for orchestrating role-playing, autonomous AI agents that collaborate on complex tasks with defined workflows.
Semantic Kernel
ToolMicrosoft's SDK for integrating LLMs into applications, featuring plugins, planners, and multi-language support.
Community Content
The Agent Engineering Blog
GuideWeekly insights on agent architecture patterns, debugging techniques, and real-world case studies from production deployments.
Building Reliable Agents at Scale
VideoConference talk exploring strategies for testing, monitoring, and maintaining agent reliability in production environments.
UX Patterns for Agent Interactions
GuideBlog post series examining user experience design principles specific to conversational agents and tool-augmented workflows.