AI Agents Cheat Sheet
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This content was generated with the assistance of AI and should be verified against the official documentation of each tool and framework before being relied on in production. This section’s bibliography lists the reference material consulted while preparing these pages. |
A single-page index of quick back-links to every page in this sub-section, grouped the same way as the sub-section itself — handy for jumping straight to the topic you need instead of paging through the full navigation.
The downloadable PDF is a separate, single A4 page meant for printing. It states the version baseline this sub-section targets — LangChain 1.4.2 / LangGraph 1.2.12 (Python 3.12), LangChain4j 1.20.2 (Java 21), Spring Boot 4.1 with Spring AI 2.0.1, A2A 1.0 and MCP 2026-07-28, all checked on 2026-09-28 — and covers:
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the workflow-vs-agent decision, and when not to build an agent;
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the pattern catalogue with mini diagrams (ReAct, plan-and-execute, reflection, and the five workflow patterns);
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the tool-design rules;
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the memory types and their APIs in LangGraph, LangChain4j and Spring AI;
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the multi-agent topologies;
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MCP vs. A2A;
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the human-in-the-loop patterns and the autonomy ladder;
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the evaluation metrics;
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the guardrails checklist;
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the framework landscape table.
Foundations — AI Agents, Agent Loop & Architectures and Workflow Patterns.
Tools and context — Tool Design and Context Engineering for Agents.
Multi-agent — Multi-Agent Systems and Agent-to-Agent Protocol (A2A).
Humans and quality — Human-in-the-Loop, Agent Evaluation, Agent Guardrails & Safety, Agent UX and Observability for Agents.
Landscape — The 2026 Agent Frameworks Landscape and Learning & Improvement.
References
The PDF summarizes these official pages; each is cited in full on the page listed above that covers it, and in AI Agents' bibliography.
Patterns and tools
Frameworks
Protocols, observability and security