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This is a submission for the Hermes Agent Challenge: Write About Hermes Agent. Most AI assistants wait around like interns who lost the Slack invite. You open a tab. You type a prompt. You explain the same project again. You paste the same links again. Then you spend half the afternoon checking whet
Reading Claude's Mind: Anthropic's Natural Language Autoencoders Open a New Window Into Agent Alignment What if you could read an AI agent's thoughts — not just what it says, but what it thinks but doesn't tell you? That is precisely the question Anthropic set out to answer with Natural Language Aut
Replit is deepening its enterprise push: The vibe coding platform is partnering with Visa Inc. to embed payment infrastructure alongside The post Replit’s vibe coding platform just got a Visa-backed identity layer for AI agents — and it changes how agents spend money appeared first on The New Stack.
Have you ever tried to manage a complex project through an AI agent conversation? It goes something like this: you ask the agent to build something, it starts working, then you switch contexts, come back, and the agent has no idea what was happening before. I ran into this problem constantly. So I b
Published: May 30, 2026 Tags: ai, agents, opensource, github, bounty, tutorial, python, architecture Every week, someone tweets "I built an AI agent that makes money while I sleep." And every week, the replies are the same: prove it. So I did. I built ZKA (Zero Knowledge Agent) — an autonomous AI ag
Here are three ways to create your own AI agents that you can control entirely through your web browser
This is a submission for the Hermes Agent Challenge. I have been playing with different AI agents for a while now. Most of them feel like clever chatbots that forget everything the moment the conversation ends. Then I tried Hermes Agent from Nous Research a few weeks back. It actually feels differen
Why Hermes Agent Is One of the Most Practical Open Source AI Agents for Developers This is a submission for the Hermes Agent Challenge. Author: SoumyaEXE Portfolio: isoumya.xyz LinkedIn: isoumyadeyy Agent frameworks are everywhere right now, but most of them still feel like demos dressed up as produ
Hey dev.to community 👋 Over the past few days, I’ve been running dozens of AI Agent experiments. The more powerful they got, the more nervous I became. They can do amazing things, but they’re also shockingly easy to jailbreak, abuse tools, or quietly exfiltrate data. And once they go rogue? Traditi
If you found this useful, follow me for more practical insights on AI-assisted development and the agent economy. I publish 2-3 times per week. Tags: AI, Programming, Productivity, Open Source, Automation
Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose behalf, and how does the system know? Workday's answer is to make its existing system of record the
Imagine you are building an autonomous AI agent. You give it a terminal tool, a file-writing tool, and the ability to execute Python scripts. You ask it to "clean up the temporary files in the project directory." The LLM processes the request, formulates a plan, and generates a terminal command. But
Hermes Agent: Why Open-Source AI Agents Are Changing How We Build Software Introduction Artificial intelligence has moved far beyond simple chatbots. Today, developers are building systems that can reason through problems, use tools, execute tasks, and make decisions across multiple steps. These sys
Bun is fast. The README will tell you 4x on bun install, 3-5x on Bun.serve(), 2x on bun:sqlite. Some of this matters for AI agents. Some of it doesn't. We've been running production agents on Bun for about 3 months — a mix of Hono-on-Bun HTTP agents and standalone Bun scripts called from Claude Code
As a developer, there are few things more anxiety-inducing than the Slack notification sound at 3:00 AM: "Production is down." You groggily open your laptop, pull up the server logs, trace the exception through 5 different files, fix a missing try/catch block, push the hotfix, and try to go back to
Ronghui Gu shares tips on how to isolate AI agents while testing them so they do not have access to critical personal information or digital assets.
As enterprise AI agents move into production, organizations are confronting a growing reliability problem. Many teams are discovering that LLM performance alone does not determine whether agents succeed in production. Long-running AI workflows must survive crashes, preserve state, recover from failu
TLDR: Setup guides reach your AI agent through surfaces that can hide text from you but not from the model. GuideCheck is an open standard for a constrained, plain-text assistant-guide.txt that a human can read in full before authorizing an agent to act. It ships a five-level conformance ladder, a r
Everything you have built so far is reactive. User sends a message. System processes it. System sends a response. Done. An agent is different. An agent receives a goal, not a message. It decides what steps to take to achieve that goal. It uses tools. It observes the results. It adjusts its plan. It
Developers of agentic AI have been making some big claims. The promise has been of autonomous systems that can do everything, from booking our flights and keeping an eye on competitors in real time to handling entire procurement cycles , all without needing an actual human to hit “confirm.” And whil
