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

N
News and Events Feed by Topic
爱范儿
爱范儿
Apple Machine Learning Research
Apple Machine Learning Research
博客园 - 叶小钗
Last Week in AI
Last Week in AI
博客园 - 三生石上(FineUI控件)
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
月光博客
月光博客
大猫的无限游戏
大猫的无限游戏
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
博客园 - Franky
人人都是产品经理
人人都是产品经理
The Cloudflare Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 司徒正美
罗磊的独立博客
博客园 - 聂微东
T
Troy Hunt's Blog
美团技术团队
IT之家
IT之家
A
Arctic Wolf
腾讯CDC
雷峰网
雷峰网
SecWiki News
SecWiki News
博客园_首页
L
LINUX DO - 最新话题
Cloudbric
Cloudbric
量子位
N
News and Events Feed by Topic
小众软件
小众软件
C
CXSECURITY Database RSS Feed - CXSecurity.com
Cyberwarzone
Cyberwarzone
J
Java Code Geeks
V
V2EX
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Latest news
Latest news
Webroot Blog
Webroot Blog
F
Fortinet All Blogs
P
Privacy International News Feed
NISL@THU
NISL@THU
Google Online Security Blog
Google Online Security Blog
WordPress大学
WordPress大学
PCI Perspectives
PCI Perspectives
GbyAI
GbyAI
宝玉的分享
宝玉的分享
阮一峰的网络日志
阮一峰的网络日志
S
Secure Thoughts
Simon Willison's Weblog
Simon Willison's Weblog
P
Palo Alto Networks Blog
V
Visual Studio Blog

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
🚀 Hermes Agent Just Released a Desktop App And It Changes Everything About Using AI Agents
Vivek Shetye · 2026-06-19 · via DEV Community

For the last year, AI agents have been getting more powerful.

The problem?

Most of them still felt like developer tools.

You had to work in terminals, manage configuration files, memorize commands, and scroll through endless logs just to understand what your agent was doing.

That’s fine if you’re a developer.

But if AI agents are going to become mainstream, they need something else:

A great user experience.

That’s exactly what Hermes Agent’s newly released Desktop App delivers.


🎥 Full video walkthrough


🤔 The Biggest Problem With AI Agents

Most AI agent frameworks have incredible capabilities:

  • Browse the web
  • Read and write files
  • Execute code
  • Automate workflows
  • Use multiple tools
  • Coordinate sub-agents

But using them often looks like this:

❌ Terminal windows everywhere
❌ Session IDs to manage manually
❌ Configuration files to edit
❌ Logs that are difficult to understand
❌ Very little visibility into what the agent is actually doing

For experienced developers, this is manageable.

For everyone else, it’s a major barrier.


🧠 What Is Hermes Agent?

Hermes Agent is an open-source AI agent framework created by the team at Nous Research.

It can run locally on your machine or on remote servers and connect to multiple AI providers including:

🧩 OpenAI
🌐 Gemini
🧠 Claude
🏠 Local models through Ollama
🔌 Other supported providers

Once connected, Hermes can:

  • Browse the web
  • Analyze documents
  • Run terminal commands
  • Automate workflows
  • Send messages
  • Manage emails
  • Create and execute multi-step plans

Think of it as an autonomous AI worker that can actually take action instead of only generating text.


✨ The Desktop App Changes Everything

The new desktop application provides a complete visual interface for managing and monitoring AI agents.

Instead of wondering what your agent is doing, you can now see everything.

📂 Session Management

Conversations are automatically organized.

Sessions are grouped by profile, making it much easier to manage multiple agents with different responsibilities.

You can also switch models with a single click without diving into configuration files.


🔍 Watch Your Agent Work

One of the most impressive features is transparency.

You can inspect:

🔎 Tool calls
📚 Sources used by the agent
⚙️ Workflow execution steps
🧠 Reasoning process
📈 Agent progress

This is incredibly useful when debugging workflows or understanding why an agent made a particular decision.

Most AI agent platforms treat this as a black box.

Hermes makes it visible.


🎙️ Voice Interaction

Hermes supports voice input directly from the desktop app.

You can simply speak to your agent and let the local transcription system convert speech into text.

Small feature.

Huge usability improvement.


👤 Profiles: Specialized AI Agents

This might be my favorite feature.

A Hermes Profile is essentially its own AI agent.

Each profile can have:

📝 Independent instructions
🧠 Separate memory
🛠️ Different tools
📚 Different skills
⚡ Unique capabilities

For example:

  • Software Engineering Agent
  • Research Agent
  • Content Creation Agent
  • Marketing Agent
  • Stock Research Agent

Instead of one general-purpose assistant, you can build an entire team of specialized AI workers.


🛠️ Skills and Tools

Hermes includes a powerful skill system.

What’s particularly interesting is that Hermes can generate new skills from your conversations over time.

The more you use it, the more personalized it becomes.

You can also selectively disable skills to:

🎯 Reduce context size
💰 Save tokens
⚡ Improve performance

This is a subtle feature that becomes very important at scale.


💬 Messaging Integrations

The desktop app supports integrations with external platforms such as:

💬 Discord
📱 Telegram
📨 WhatsApp
🔗 Other supported channels

Your agents can communicate and deliver updates outside the desktop application itself.

This opens the door to some very interesting automation workflows.


📦 Artifacts: Everything In One Place

One challenge with AI agents is finding things they created days ago.

Hermes solves this with Artifacts.

Generated files, images, links, and outputs are automatically collected into a centralized workspace.

No more hunting through old conversations.


⚙️ Advanced Settings For Power Users

The settings panel exposes a surprising amount of customization.

You can configure:

⚙️ AI Providers
🔑 API Keys
🎨 Appearance
🔌 MCP Integrations
🎙️ Voice Settings
🛠️ Tool Configuration
🌐 Gateway Settings

You can even assign different models to different tasks.

For example:

  • One model for reasoning
  • Another for vision
  • Another for web extraction

This level of flexibility is something advanced users will appreciate.


⏰ Autonomous Scheduled Agents

One feature I think is massively underrated:

📅 Cron Jobs

You can schedule agents to run automatically.

Examples:

📈 Daily stock market reports
📧 Email summaries
📰 Industry news monitoring
🏢 Competitor tracking
📊 Business intelligence reports

You define:

  • The task
  • The schedule
  • The delivery destination

Then Hermes runs it automatically.

Your AI agent becomes proactive instead of reactive.


👥 Multi-Agent Visibility

When Hermes encounters a complex task, it can spawn additional agents to help complete the work.

The Desktop App includes a dedicated view for monitoring these sub-agents.

You can watch:

👥 Which agents were created
📋 What tasks they are handling
🔄 Their current progress
🎯 How work is being coordinated

For anyone interested in multi-agent systems, this is fascinating to observe.


🎯 Why This Matters

The most important thing about this release isn’t the interface itself.

It’s what it represents.

AI agents are moving from:

“Developer-only tools”

to

“Tools anyone can use.”

The Desktop App dramatically lowers the barrier to entry while preserving the power that makes Hermes compelling.

And that’s exactly what the AI agent ecosystem needs right now.

What feature do you think is still missing from modern AI agent platforms? Let me know in the comments.