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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

Open canonical 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-handbook

Classifications

Nature
Resource

Measurement history

Comparable readings are grouped by signal and unit.

Stars

316stars · Oct 20, 2026

0 (0 %)since Sep 22, 2026

Sep 22, 2026 : 316 starsSep 23, 2026 : 316 starsSep 24, 2026 : 316 starsSep 25, 2026 : 315 starsSep 26, 2026 : 315 starsSep 27, 2026 : 315 starsSep 28, 2026 : 315 starsSep 29, 2026 : 315 starsSep 30, 2026 : 314 starsOct 1, 2026 : 314 starsOct 2, 2026 : 315 starsOct 3, 2026 : 315 starsOct 4, 2026 : 315 starsOct 5, 2026 : 315 starsOct 6, 2026 : 315 starsOct 7, 2026 : 315 starsOct 8, 2026 : 315 starsOct 9, 2026 : 315 starsOct 10, 2026 : 315 starsOct 11, 2026 : 315 starsOct 12, 2026 : 315 starsOct 13, 2026 : 315 starsOct 14, 2026 : 315 starsOct 15, 2026 : 315 starsOct 16, 2026 : 316 starsOct 17, 2026 : 316 starsOct 18, 2026 : 316 starsOct 19, 2026 : 316 starsOct 20, 2026 : 316 stars
Exact values · 29 readings
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316·