Skill 与 AgentSKILLS & AGENTS· MCP-SERVER

agent-systems-handbook

Prompthon-IO/agent-systems-handbook

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.

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: 未确认Not confirmed
已识别的要求Documented requirements: API key · Local runtime
许可LICENSE: 未确认Not confirmed

打开仓库Open repository 官网Homepage

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

文档里没有找到可识别的安装命令。这类项目按发布规则不会进入榜单，只能在这里查看。No recognisable install command was found in the docs. Projects like this never enter the ranked list under our publishing rules — they are viewable here only.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

需检查Needs review

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 未识别Not identified

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

+0.3%+0.3%

315 → 316 stars · 14 个快照315 → 316 stars · 14 snapshots

状态STATUS

持续活跃Active

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/Prompthon-IO/agent-systems-handbook
原始数据哈希Raw data hash: 13300f835059ae489b5a1871411b9d74
解析时间Parsed at: 2026-10-16T23:37:48.426Z
最后一次验证Last verified: 2026-10-16T22:12:33.686Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:token:repo:topic-context-engineering
分类来源Category source: rules
焦点Focus: token (5)

完整解析证据 JSONFull parse evidence JSON

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