# 12 Hermes Articles from 100+ of Hours Spent
**作者**: 0xJeff
**日期**: 2026-04-13T11:45:51.000Z
**来源**: [https://x.com/0xJeff/status/2079167083607478363](https://x.com/0xJeff/status/2079167083607478363)
---
It's been more than 4 months since I started using Hermes as an analyst. I have probably spent more than a thousand USD on inference alone just to experiment with setups, check out new models, and new tools as they come out every week.
Ever since I have Hermes, it feels like I have this extension of me that's capable of building & trying things out that I've never been able to try before.
I can still vividly remember the struggle I had when I tried getting started for the first time. Took a few weeks to get to a point where I have the optimal setup (reliably cheap & intelligent models) + where I can fix basic things without relying on Hermes.
In this article, I'm aggregating 12 Hermes articles I've written in the past months, highlighting the setups, tools, learnings, and hopefully this serve as a primer/guide to non-technical beginners who are looking to start getting into customizing your own AI agent for the first time.
Let's dig in ↓
## I. Where it all started
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2043656911044870203)
>
This was back where Hermes wasn't available natively on Windows so I had to install Hermes through WSL2 via Ubuntu (these days you could just install natively in 1-click).
It's also where I started with using OpenCode Go subscription (only $5/month for the first month) + tried a lot of tools to setup tailored analyst workflows.
> Great primer to the series
## II. Deep Dive into 3 Workflows
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2046164193326628880)
>
After around a month of using Hermes, I found that the Top 3 most useful workflows were
- Fetch & Analyze X insights
- Breaks down X bookmarks
- Recall/Reflect
The 3 workflows current outputs & setups look very different from when I started but the usefulness of the workflows themselves still remain relevant to this day.
Fetch & Analyze X insights can be done natively on Hermes via Grok 4.5. Query and breaks down X bookmarks still require X API though.
## III. The Learnings after 1 Month with Hermes
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2048678335950311860)
>
The article talks about why Hermes is not a good builder but the reality was that I did not set Hermes up to be good at building. Most of the tools, skills, workflows were geared towards data analysis & investments so I found Claude Code to be a lot better at building things.
I also shared 2 products that I built using Claude here and I'm still using these 2 products today.
## IV. Deeper Dive into the Analyst Workflows
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2051214993719427258)
>
Talked about the OpenWebUI and Hermes Workspace, ended up using it for only a bit. Discord is so much easier & faster to use as key messaging channel with Hermes. I also went a bit deeper on each key workflows + setups, letting Hermes track macro, geopolitics, tech, and more.
## V. The 3 Layer Stack of Hermes Setup
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2053759897809076325)
>
Deeper dive into the (i) Model Configuration - what to use & what to focus on (ii) Soul & User Config - how to tailor the agent to your preference (iii) Learnings around Skills & Tools
This piece should actually be the second or third piece to read if you're starting out.
## VI. Hermes X Feature Upgrade
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2056269840009318569)
>
X natively integrated x_search feature directly with Hermes. This allows Hermes to search any post, thread, article directly on X, summarizes it, and serve it to you.
Highly valuable feature because real-time news across macro, geopolitics, tech, and more tend to drop on X first. It's where discussions are happening.
## VII. Hermes Onchain Forensic Workflow
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2058819494609653875)
>
If like me, you're spending a lot of time analyzing tokens. This one is for you. The piece dives into how to equip Hermes with the ability to do onchain analysis, looking into buy/sell pressure, whale movements, and more so you can position your trades better.
## VIII. Top 6 Learnings
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2061361760968560887)
>
Walked through all the key learnings. My fav so far is x402 pay-per-use and the feedback loop with Hermes, both of which continue to improve the quality of the work outputs to this day.
## IX. The 10x Update
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2066883577141428563)
>
Might sound like an exaggeration but Hermes got an update where it gets easier to deploy orchestrator agent + 3 sub-agents. Like a middle manager deploying junior staffs to work for them. This drastically improves the comprehensiveness of the research output.
I also talked about Hermes Desktop here but I don't usually use it so much now since it feels kinda clunky vs Discord. (Guess I got used to the Discord experience lol)
## X. The Loop Craze
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2069008589721932251)
>
Loop got very popular around this time. It's the ability for an agent to reason, act, evaluate, feedback itself without the need for a human. It's the design needed to push AI beyond just a chatbot.
I discussed the loops that are highly beneficial in improving the quality of the research workflows outputs here.
## XI. Lessons I learnt after 3 Months
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2071507980256792731)
>
This is more like a journal to my younger self 3 months back. There was a time where I got bogged down on trying to get everything to be optimized in both efficiency & capital spent to the AI. Tried to get the best bang for bucks but ended up wasting too much time on that.
## XII. Updating the latest on my Top 2 Workflows
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2076631167152042204)
>
Talked about the latest setup and flows to my top 2 workflows. Breaking through the echo chamber, and exploring ways to improve the research capability.
That's pretty much it! Hope you learn something from these articles and really hope you get started in your AI agent journey.
Let me know what you're building/automating for!
We have over 10+ tools now (most of which are free or pretty low cost). If you're interested to know which tool(s) I'm using for my Hermes analyst stack. Do check out the Tool Shed here.
## 相关链接
- [0xJeff](https://x.com/0xJeff)
- [@0xJeff](https://x.com/0xJeff)
- [13K](https://x.com/0xJeff/status/2079167083607478363/analytics)
- [Apr 13](https://x.com/0xJeff/status/2043656911044870203)
- [88K](https://x.com/0xJeff/status/2043656911044870203/analytics)
- [Apr 20](https://x.com/0xJeff/status/2046164193326628880)
- [116K](https://x.com/0xJeff/status/2046164193326628880/analytics)
- [Apr 27](https://x.com/0xJeff/status/2048678335950311860)
- [89K](https://x.com/0xJeff/status/2048678335950311860/analytics)
- [May 4](https://x.com/0xJeff/status/2051214993719427258)
- [108K](https://x.com/0xJeff/status/2051214993719427258/analytics)
- [May 11](https://x.com/0xJeff/status/2053759897809076325)
- [52K](https://x.com/0xJeff/status/2053759897809076325/analytics)
- [May 18](https://x.com/0xJeff/status/2056269840009318569)
- [158K](https://x.com/0xJeff/status/2056269840009318569/analytics)
- [May 25](https://x.com/0xJeff/status/2058819494609653875)
- [116K](https://x.com/0xJeff/status/2058819494609653875/analytics)
- [Jun 1](https://x.com/0xJeff/status/2061361760968560887)
- [117K](https://x.com/0xJeff/status/2061361760968560887/analytics)
- [Jun 16](https://x.com/0xJeff/status/2066883577141428563)
- [162K](https://x.com/0xJeff/status/2066883577141428563/analytics)
- [Jun 22](https://x.com/0xJeff/status/2069008589721932251)
- [49K](https://x.com/0xJeff/status/2069008589721932251/analytics)
- [Jun 29](https://x.com/0xJeff/status/2071507980256792731)
- [40K](https://x.com/0xJeff/status/2071507980256792731/analytics)
- [Jul 13](https://x.com/0xJeff/status/2076631167152042204)
- [90K](https://x.com/0xJeff/status/2076631167152042204/analytics)
- [the Tool Shed](https://defi0xjeff.substack.com/p/the-analyst-agent-tools)
- [Upgrade to Premium](https://x.com/i/premium_sign_up)
- [7:30 PM · Jul 20, 2026](https://x.com/0xJeff/status/2079167083607478363)
- [13.1K Views](https://x.com/0xJeff/status/2079167083607478363/analytics)
- [View quotes](https://x.com/0xJeff/status/2079167083607478363/quotes)
---
*导出时间: 2026/7/21 09:23:37*
---
## 中文翻译
# 来自 100 多小时实战经验的 12 篇 Hermes 文章
**作者**: 0xJeff
**日期**: 2026-04-13T11:45:51.000Z
**来源**: [https://x.com/0xJeff/status/2079167083607478363](https://x.com/0xJeff/status/2079167083607478363)
---
我作为分析师开始使用 Hermes 已经四个多月了。为了尝试各种配置、测试新模型以及试用每周层出不穷的新工具，我光在推理上可能就花了一千多美元。
自从有了 Hermes，感觉就像拥有了自己的延伸，能够构建和尝试我以前从未尝试过的事物。
我依然能清晰地记得初次尝试时的艰难。我花了几周时间才达到一个理想的状态：拥有了最优的配置（既经济可靠又智能的模型）+ 即使不依赖 Hermes 也能修复基本问题。
在这篇文章中，我汇总了过去几个月写的 12 篇关于 Hermes 的文章，重点介绍了配置、工具和心得体会。希望这篇文章能成为一份入门指南，帮助那些非技术背景的初学者首次尝试定制自己的 AI 代理。
让我们开始深入阅读吧 ↓
## I. 一切的开始
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2043656911044870203)
>
那时候 Hermes 还不支持 Windows 原生安装，所以我不得不通过 WSL2 在 Ubuntu 上安装 Hermes（现在你可以一键原生安装了）。
这也是我开始使用 OpenCode Go 订阅的地方（首月仅需 5 美元），并尝试了很多工具来搭建定制化的分析师工作流。
> 对该系列文章的一个极佳入门介绍
## II. 深入解析 3 个工作流
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2046164193326628880)
>
使用 Hermes 大约一个月后，我发现前 3 个最有用的工作流是：
- 获取并分析 X（推特）上的洞察
- 拆解 X 的书签
- 回顾/反思
这 3 个工作流目前的输出和配置与我刚开始时相比大相径庭，但这些工作流本身的实用性至今依然存在。
获取并分析 X 上的洞察可以通过 Hermes 原生集成 Grok 4.5 来完成。查询和拆解 X 书签则仍然需要 X API。
## III. 使用 Hermes 一个月后的心得
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2048678335950311860)
>
这篇文章谈到了为什么 Hermes 不是一个好的“构建者”，但事实是，我当时并没有把 Hermes 配置成擅长构建的模式。大多数工具、技能和工作流都是针对数据分析和投资的，所以我发现 Claude Code 在构建事物方面要强得多。
我还在这里分享了两个我使用 Claude 构建的产品，直到今天我仍在使用这两个产品。
## IV. 深入探讨分析师工作流
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2051214993719427258)
>
聊到了 OpenWebUI 和 Hermes 工作区，但后来我只用了很短一段时间。作为与 Hermes 沟通的主要渠道，Discord 要简单、快捷得多。我还更深入地探讨了每个关键工作流 + 配置，让 Hermes 跟踪宏观经济、地缘政治、科技等方面的动态。
## V. Hermes 配置的三层架构
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2053759897809076325)
>
深入探讨了 模型配置——该使用什么以及重点关注什么；灵魂与用户配置——如何根据你的偏好定制代理；关于技能与工具的心得。
如果你是刚起步，这篇文章实际上应该是你阅读的第二或第三篇文章。
## VI. Hermes X 功能升级
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2056269840009318569)
>
X 平台将 x_search 功能直接与 Hermes 进行了原生集成。这使得 Hermes 能够直接在 X 上搜索任何帖子、推文串、文章，对其进行总结，并呈现给你。
这是一个非常有价值的功能，因为涵盖宏观经济、地缘政治、科技等领域的实时新闻往往会首先发布在 X 上。这里也是讨论发生的地方。
## VII. Hermes 链上取证工作流
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2058819494609653875)
>
如果你像我一样，花费大量时间分析代币。这篇文章就是为你准备的。文章深入探讨了如何为 Hermes 装备链上分析能力，查看买卖压力、鲸鱼动向等，以便你更好地安排交易仓位。
## VIII. 6 大核心心得
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2061361760968560887)
>
梳理了所有关键心得。到目前为止，我最喜欢的是 x402 按使用付费模式以及与 Hermes 的反馈循环，这两者至今仍在不断提高工作产出的质量。
## IX. 10 倍效能更新
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2066883577141428563)
>
听起来可能有点夸张，但 Hermes 进行了一次更新，使得部署协调代理 + 3 个子代理变得更加容易。就像一个中层经理部署初级员工为他们工作一样。这极大地提高了研究产出的全面性。
我在这里也谈到了 Hermes 桌面版，但现在我不怎么用它了，因为与 Discord 相比，它感觉有点笨重。（猜我是习惯了 Discord 的体验哈哈）
## X. Loop 热潮
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2069008589721932251)
>
Loop 在这段时间变得非常流行。它指的是代理能够在无需人类干预的情况下进行推理、行动、评估和自我反馈。这是推动 AI 超越聊天机器人所需的必要设计。
我在这里讨论了那些对提高研究工作流输出质量非常有帮助的循环。
## XI. 使用三个月后学到的教训
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2071507980256792731)
>
这更像是一篇写给三个月前自己的日记。曾有一段时间，我陷入了对效率和 AI 资金消耗的过度优化之中。试图追求最高的性价比，结果却浪费了太多时间在这上面。
## XII. 更新我前两大工作流的最新进展
> **0xJeff@0xJeff**: [原文链接](https://x.com/0xJeff/status/2076631167152042204)
>
谈到了我最常用的两个工作流的最新配置和流程。突破信息茧房，以及探索提升研究能力的方法。
基本上就是这些了！希望你能从这些文章中学到一些东西，并真心希望你能开启你的 AI 代理之旅。
请告诉我你在构建或自动化什么内容！
我们现在有 10 多个工具（其中大多数是免费的或成本很低）。如果你有兴趣了解我在 Hermes 分析师堆栈中使用了哪些工具。请务必查看这里的“工具小屋”。
## 相关链接
- [0xJeff](https://x.com/0xJeff)
- [@0xJeff](https://x.com/0xJeff)
- [13K](https://x.com/0xJeff/status/2079167083607478363/analytics)
- [Apr 13](https://x.com/0xJeff/status/2043656911044870203)
- [88K](https://x.com/0xJeff/status/2043656911044870203/analytics)
- [Apr 20](https://x.com/0xJeff/status/2046164193326628880)
- [116K](https://x.com/0xJeff/status/2046164193326628880/analytics)
- [Apr 27](https://x.com/0xJeff/status/2048678335950311860)
- [89K](https://x.com/0xJeff/status/2048678335950311860/analytics)
- [May 4](https://x.com/0xJeff/status/2051214993719427258)
- [108K](https://x.com/0xJeff/status/2051214993719427258/analytics)
- [May 11](https://x.com/0xJeff/status/2053759897809076325)
- [52K](https://x.com/0xJeff/status/2053759897809076325/analytics)
- [May 18](https://x.com/0xJeff/status/2056269840009318569)
- [158K](https://x.com/0xJeff/status/2056269840009318569/analytics)
- [May 25](https://x.com/0xJeff/status/2058819494609653875)
- [116K](https://x.com/0xJeff/status/2058819494609653875/analytics)
- [Jun 1](https://x.com/0xJeff/status/2061361760968560887)
- [117K](https://x.com/0xJeff/status/2061361760968560887/analytics)
- [Jun 16](https://x.com/0xJeff/status/2066883577141428563)
- [162K](https://x.com/0xJeff/status/2066883577141428563/analytics)
- [Jun 22](https://x.com/0xJeff/status/2069008589721932251)
- [49K](https://x.com/0xJeff/status/2069008589721932251/analytics)
- [Jun 29](https://x.com/0xJeff/status/2071507980256792731)
- [40K](https://x.com/0xJeff/status/2071507980256792731/analytics)
- [Jul 13](https://x.com/0xJeff/status/2076631167152042204)
- [90K](https://x.com/0xJeff/status/2076631167152042204/analytics)
- [the Tool Shed](https://defi0xjeff.substack.com/p/the-analyst-agent-tools)
- [Upgrade to Premium](https://x.com/i/premium_sign_up)
- [7:30 PM · Jul 20, 2026](https://x.com/0xJeff/status/2079167083607478363)
- [13.1K Views](https://x.com/0xJeff/status/2079167083607478363/analytics)
- [View quotes](https://x.com/0xJeff/status/2079167083607478363/quotes)
---
*导出时间: 2026/7/21 09:23:37*