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

Last Week in AI
Last Week in AI
阮一峰的网络日志
阮一峰的网络日志
P
Proofpoint News Feed
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
MongoDB | Blog
MongoDB | Blog
云风的 BLOG
云风的 BLOG
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
J
Java Code Geeks
WordPress大学
WordPress大学
T
The Blog of Author Tim Ferriss
V
Visual Studio Blog
小众软件
小众软件
Microsoft Azure Blog
Microsoft Azure Blog
博客园_首页
IT之家
IT之家
Vercel News
Vercel News
C
Check Point Blog
Google DeepMind News
Google DeepMind News
月光博客
月光博客
D
DataBreaches.Net
酷 壳 – CoolShell
酷 壳 – CoolShell
美团技术团队
Y
Y Combinator Blog
Hugging Face - Blog
Hugging Face - 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
The Agent that grows with you
Anushka Singh · 2026-05-31 · via DEV Community
Cover image for The Agent that grows with you

Anushka Singh

Hermes Agent Challenge Submission: Write About Hermes Agent

This is a submission for the Hermes Agent Challenge

A very good evening everyone!
Hermes agent latest version is new in town and I can't keep it to myself that I am very glad that I could complete the build challenge yesterday by showcasing personal AI newspaper in which the user receives personalised news according to their cup of tea everyday.
Well! Let's not go there. It's been more than 5 months learning Agentic AI and I barely scratched the surface with making useful projects in this particular domain.
If you know you know that Hermes agent is the self improving AI agent. Plus its session search is 4,500x faster this time and the agent is absolutely free. It is having built-in learning loop yes I am discussing about GEPA memory.

What is GEPA

              Generate → Evaluate → Prune → Accumulate

Generate — an agent attempt to do some task and learns skill based on it
Evaluate — assigns grades to the skill whether it is helpful or not
Prune — it deletes the unnecessary skill which won't be used likely
Accumulate — it saves the skills for the next runs

Basically it is a learning loop which learns as a human does.After each run the agent gets smarter because it retains the memory of the job done in the past.

The Memory System

It does not only utilise skill memory but also uses FTS5 full-text search on past discourse which means the context can be found at ease from the long corpus of given text.
It works as a curator agent running in the background and uses GEPA to make the context stronger and relevant. In other words I should say The agent itself discards the memory which is considered obsolete.

Hermes agent's Core Architecture

Image d

Interface layer — user communicates with the agent (CLI, Telegram, WhatsApp etc.) supports 20+ platforms.
Agent core — LLM, planner, and tool dispatcher reside in the agent core
Tool layer — 40+ built-in tools such as web search, browser automation, vision, file system, code execution which the agent uses
Memory system — GEPA loop
Output layer — final result in the form of text, files, emails and code

It costs nothing when you keep it idle and provides MCP support as well.You can run it on a $5 VPS, a GPU cluster, or serverless infrastructure through Daytona or Modal. Even if you are not working for example using phone for some research task your work will be finished after you come back without keeping local machine running. That's the power of Hermes Agent

Courtesy: Claude for Architecture Diagram