惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
A
About on SuperTechFans
IT之家
IT之家
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Blog — PlanetScale
Blog — PlanetScale
aimingoo的专栏
aimingoo的专栏
云风的 BLOG
云风的 BLOG
The GitHub Blog
The GitHub Blog
Vercel News
Vercel News
G
Google Developers Blog
J
Java Code Geeks
宝玉的分享
宝玉的分享
T
Tailwind CSS Blog
Cloudbric
Cloudbric
L
LINUX DO - 最新话题
MyScale Blog
MyScale Blog
H
Heimdal Security Blog
PCI Perspectives
PCI Perspectives
Attack and Defense Labs
Attack and Defense Labs
S
Security @ Cisco Blogs
Latest news
Latest news
I
Intezer
L
Lohrmann on Cybersecurity
C
CXSECURITY Database RSS Feed - CXSecurity.com
月光博客
月光博客
T
Threatpost
博客园 - 【当耐特】
S
Schneier on Security
P
Privacy International News Feed
G
GRAHAM CLULEY
T
Tenable Blog
AWS News Blog
AWS News Blog
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
雷峰网
雷峰网
博客园 - Franky
Engineering at Meta
Engineering at Meta
美团技术团队
S
Secure Thoughts
T
Troy Hunt's Blog
Microsoft Security Blog
Microsoft Security Blog
SecWiki News
SecWiki News
V
Visual Studio Blog
人人都是产品经理
人人都是产品经理
Application and Cybersecurity Blog
Application and Cybersecurity Blog
Cisco Talos Blog
Cisco Talos Blog
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Martin Fowler
Martin Fowler
Webroot Blog
Webroot Blog
Google DeepMind News
Google DeepMind News
H
Hackread – Cybersecurity News, Data Breaches, AI and More

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Building a Personal Assistant in Zo Computer and Adding Hermes as a Second Assistant
Dale Nguyen · 2026-05-24 · via DEV Community

Zo Computer works well as a personal operating system for life admin, creative work, learning, and day-to-day coordination. If you set it up intentionally, it can feel less like a chat app and more like a real assistant that lives with your files, routines, and preferences.

The good news is that getting started costs nothing. Zo has a free tier that is a perfect place to test a personal assistant setup before committing to anything. On the Hermes side, NVIDIA offers free API credits through their developer platform, so you can run Hermes against a capable model without paying for API usage upfront. That means you can build out the full two-assistant setup described in this post for free.

A strong pattern is to use Zo as your main personal assistant and Hermes as a second assistant that handles a different lane of work. Zo stays close to your files, your rules, your automations, and your personal workflows. Hermes becomes the extra pair of hands: a separate agent for focused tasks, parallel research, and longer-running jobs.

Why a personal assistant in Zo is useful

Zo is especially good for personal use because it can sit near the center of your life instead of scattered across separate apps. That means you can keep the things an assistant needs in one place:

  • notes and documents
  • recurring routines
  • calendar-aware tasks
  • saved preferences and rules
  • files you want the assistant to work from
  • automations that run without you micromanaging them

The real advantage is continuity. A personal assistant becomes much more useful when it can remember your style, keep track of ongoing projects, and work from the same environment every day.

What "personal assistant" should mean in Zo

A good assistant in Zo should do more than answer questions. It should help you actually move things forward.

That usually means:

  • drafting messages, notes, and documents
  • organizing ideas into something usable
  • turning vague thoughts into a plan
  • reminding you about routines and deadlines
  • summarizing information from files or the web
  • handling repeatable life admin tasks
  • keeping track of preferences so you do not repeat yourself

If you treat Zo like a small command center, it stops being a generic chatbot and starts becoming a trusted helper.

The cleanest setup: one main assistant, one second assistant

The best setup is usually not "one AI that does everything." It is:

  • Zo as your primary assistant
  • Hermes as your second assistant

That split is useful because the assistants can have different jobs.

Zo as the primary assistant

Use Zo for:

  • personal life management
  • writing and editing
  • working directly from your files
  • scheduling and recurring routines
  • decisions that need your preferences
  • things you want tightly integrated with your Zo workspace

Hermes as the second assistant

Use Hermes for:

  • parallel research
  • long-running work
  • independent task handling
  • a separate memory stream
  • a different working style
  • conversations or jobs you want isolated from your main assistant

This is the important idea: the second assistant should not be a clone of the first. It should be a specialist.

How Hermes fits in

Hermes is designed as an autonomous agent with a built-in learning loop. According to its documentation, it can keep improving through use, remember across sessions, and work through messaging platforms like Telegram. It is meant to live somewhere persistent, such as a local machine, a VPS, or another hosted environment.

That makes Hermes a good second assistant when you want another agent running in parallel with Zo instead of replacing Zo.

Zo Computer running as a Telegram bot — asking it to find a flight with one transit stop.

Basic Hermes installation path

The easiest way to get started is to simply ask Zo to do it for you. Open a Zo chat and type something like:

"Install Hermes on my machine"

Zo will handle the setup steps, walk you through any configuration it needs, and get Hermes running without you having to touch the terminal. This is the fastest path if you are already inside Zo.

If you prefer to install manually, the official Hermes docs show a straightforward install flow for Linux, macOS, and WSL2:

curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash

For native Windows, the docs also provide a PowerShell installer. After installation, Hermes can be configured to run in the environment you want and connected to messaging tools like Telegram.

The practical setup pattern is:

  1. install Hermes
  2. choose where it will run
  3. connect its messaging or command interface
  4. give it a clear role
  5. keep Zo as the main personal assistant

How to divide work between Zo and Hermes

If you want the setup to feel sane, give each assistant a clear job.

Zo handles the personal layer

Zo should own:

  • your personal notes
  • your tasks and routines
  • files you keep locally
  • preferences and recurring habits
  • writing that needs your voice
  • decisions that depend on your context

Hermes handles the parallel layer

Hermes should own:

  • research you want to run in the background
  • tasks that can be broken into substeps
  • experiments
  • alternate drafts or viewpoints
  • work that benefits from isolation

This division prevents the assistants from stepping on each other.

A simple working model

Here is a practical way to think about it:

  • Zo is the assistant that knows you.
  • Hermes is the assistant that helps you scale.

Zo keeps your life organized. Hermes helps you get more done.

That combination is especially useful when you are juggling creative work, learning, and admin at the same time. One assistant can stay close to your personal system while the other handles the overflow.

Tips for making the setup actually useful

1. Give each assistant a role

Do not let both assistants do the same job. That creates noise. Be explicit:

  • Zo = personal coordinator
  • Hermes = second operator

2. Keep preferences in one place

The more you repeat yourself, the less useful the system feels. Store your standards, defaults, and routines where the assistant can reuse them.

3. Use the assistant for real workflows

Do not use it only for chat. Make it draft, organize, summarize, and schedule. Real utility comes from repeatable workflows.

4. Keep the assistant close to your files

Your files are the memory of the system. The assistant gets more useful when it can work from documents, notes, and living records instead of starting from scratch each time.

5. Treat the second assistant like an aide, not a boss

Hermes should support your system, not replace your judgment. The best assistant setup is still human-led.

Example use case

A good two-assistant workflow might look like this:

  • Zo manages your personal planning, drafts, and routines.
  • Hermes runs a background research task, collects notes, and returns a concise summary.
  • You review both outputs and decide what to do next.

That is the sweet spot: one assistant keeps your life coherent, and the other adds throughput.

Bottom line

If you want a personal assistant inside Zo Computer, start by making Zo the center of your daily system: files, rules, routines, drafts, and reminders. Then add Hermes as a second assistant for parallel work, deeper automation, and independent tasks.

The result is not just "two AIs." It is a better division of labor:

  • Zo for your personal operating system
  • Hermes for your extra capacity

That is the setup that actually feels like having help.


If you want to try Zo Computer, you can sign up using my invite link (affiliate link).