← All resources · search · tags Learning paths Ordered routes through the corpus. Follow one top to bottom, or jump in anywhere. Build your first agent From zero to a working, tool-using agent. Getting Started for AgentsAI Agent Frameworks ComparedReliable Tool Calling and Structured OutputsAgent Reasoning and Design PatternsMulti-Agent Orchestration PatternsEvaluating AI Agents: Benchmarks and Methods Ground it: retrieval & memory Give your agent accurate, current context. RAG and Retrieval for AgentsEmbeddings and Vector Search for AgentsAgent Memory and Context ManagementDocument Extraction and Parsing for Agents Secure it Defend an agent that runs code and reads untrusted content. Agentic Security ChecklistGuardrails and Safety Filters for AgentsCode Execution Sandboxing for AgentsMCP Server Authentication: OAuth 2.1 for Remote ServersAI Crawler Policy: robots.txt and User-Agents Scale & optimize Make it fast, cheap, and observable in production. Agent Cost and Latency OptimizationAI Gateways and LLM RoutingDeploying and Serving LLMs for AgentsAgent Observability and TracingOpen-Weight Models for Agents Connect via MCP The Model Context Protocol, end to end. Finding and Evaluating MCP ServersMCP vs A2A: Two Protocols, Two RolesMCP Primitives: Resources, Prompts, Sampling, and ElicitationMCP Server Authentication: OAuth 2.1 for Remote Servers Monetize agent traffic (our niche) How ChangeGamer charges agents — and how you can too. Access & Pricing for CrawlersPaying for Access: The HTTP 402 FlowAgentic Payment Protocols: 402, Pay Per Crawl, and x402