A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging
Learn how to design and operate AI agents effectively by following a practical guide on agent systems and workflows.
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Free · no card · unsubscribe anytimeA practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging
agent-systems-handbook has 316 stars on GitHub. It has been forked 64 times. agent-systems-handbook is written mainly in MDX. It has been in active development since 2026. Its main topics are a2a, agent-framework, agent-memory, agentic-ai.
A practical AI agents handbook covering agent systems, agentic workflows, LangGraph, MCP/A2A, context engineering, agent memory, evaluation, observability, and multi-agent architecture. Current trend focus: Gemini Interactions API and managed agents, emerging
agent-systems-handbook is an open-source project.
Yes. agent-systems-handbook is free and open source — you can use, modify and self-host it.
agent-systems-handbook is written mainly in MDX.
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