agent-systems-handbook
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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 runtimes, and production AI workflow patterns.
Description provenance: Original source
Measured: Oct 20, 2026 · 65 observations
Domains & Uses
- Domains
- Agents, skills and MCP
- Uses
- Retrieval-augmented generation (RAG), Workflows
Check at the source
Compatibility and prerequisites must be checked in the official documentation.
https://github.com/Prompthon-IO/agent-systems-handbookClassifications
- Nature
- Resource
Measurement history
Comparable readings are grouped by signal and unit.
Stars
316stars · Oct 20, 2026
+1 (+0.3 %)since Oct 14, 2026
Exact values · 7 readings
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