No-Code Agentist

HERMES AGENT TURNS YOUR OBSIDIAN VAULT INTO A SHARED BRAIN BETWEEN YOU AND YOUR AGENT. POINT AT A FOLDER. THE AGENT READS IT ALL. NO API. NO CLOUD. NO LOCK-IN. Obsidian is not a fancy markdown reader. it's a portable knowledge layer that no AI platform owns. point Hermes at your vault. the agent reads your notes the same way you do. your projects, your CRM, your meeting notes, your research, your SOPs, your templates. all of it becomes agent context without uploading anything to a cloud service. HOW TO CONNECT: option 1: set your vault as project directory. hermes chat --cwd ~/Obsidian/MyVault or in Desktop app: open your vault folder as the working directory. Hermes sees every file. reads on demand. option 2: add .hermes.md to your vault root. drop a .hermes.md file in your vault: "this is my Obsidian knowledge base. folders: /projects, /notes, /templates, /daily. when I ask about a project, check /projects first. when I ask about a person, check /crm. meeting notes are in /meetings sorted by date." Hermes loads this on every session. knows your vault structure before you ask anything. option 3: /learn specific pages. /learn ~/Obsidian/MyVault/sops/deployment-process.md Hermes creates a permanent skill from your note. next time: "run the deployment process." it follows your documented steps. WHAT THIS UNLOCKS: "what did I write about competitor pricing last week?" Hermes searches your vault. finds the note. answers. "summarize my meeting notes from Monday." Hermes reads /meetings/2026-08-04.md. summarizes. "draft a proposal using my standard template." Hermes reads /templates/proposal.md. fills in the details. delivers the draft. "what's the status of Project X?" Hermes reads /projects/project-x/. gives you the update. WHY OBSIDIAN AND NOT NOTION OR GOOGLE DOCS: Obsidian = local markdown files on your machine. Hermes reads local files natively. no API needed. no OAuth. no MCP connector. no cloud dependency. Notion = cloud API. needs MCP. needs auth. Google Docs = cloud API. needs MCP. needs auth. Obsidian vault + Hermes = zero setup beyond pointing the agent at a folder. your notes never leave your machine. your vault never gets locked behind a platform. if you switch from Hermes to Claude Code tomorrow, same vault. same files. same structure. that portability is the point. THE COMPOUND EFFECT: week 1: Hermes reads your vault on demand. month 1: /learn turns your best notes into skills. month 3: the agent has internalized your workflows, your templates, your SOPs. it knows where things are before you tell it. the vault grows. the agent grows with it. same vault works in ChatGPT, Claude, Cursor, or any tool that reads markdown. but Hermes adds memory, skills, and cron on top of the same files. your Obsidian vault is not a second brain. it's the shared brain between you and your agent.

You might find it useful, or you might not, but to test it out, let your agent know if it makes sense to implement any elements of this workflow. https://t.co/EwIxdln3yu

A lot of people ask me why I use Hermes Agent when Claude Code, Codex, Droid, and other strong harnesses already exist. The simplest answer: most harnesses feel like renting someone else’s house. Hermes feels like owning it. Claude Code is built around Anthropic models and burns tokens heavily outside them. Codex drops in quality outside GPT models. Hermes is model agnostic. The harness stays, while the models are replaceable. That changes the whole workflow. I can use Kimi K3 to orchestrate, Grok for speed, GLM for long tasks, another model for vision, and another for validation. I’m not choosing one model and accepting all its weaknesses. I’m combining strengths inside one harness. But the deeper advantage is persistence. When Hermes figures out a difficult workflow, it can turn it into a Skill. The next session doesn’t start from zero. Your tools, workflows, memory, and skills keep improving even when the models underneath them change. That matters because models are temporary. Today’s best model may not be the best next month. With Hermes, I can replace the model without rebuilding the harness around it. And because it’s open source, I’m not limited to whatever customization a company decided to expose. I can modify the harness itself, add tools, build skills, change behavior, and shape the agent around my work. This is also why asking whether Hermes is “good for coding” misses the point. Hermes isn’t the model. Hermes is the agent powered by the model. Use a different model and you still get the same Hermes Agent, just with that model’s capabilities. That makes the possibilities almost infinite. I’ve built games, websites, and other projects with it by choosing the right models for the job instead of being locked into one. I often run three different models on the same task with almost no friction: Kimi as the orchestrator, DeepSeek as the worker, and Luna as the validator, with countless other combinations possible. Need a built in browser, computer use, or other tools? It’s all there inside a friendly desktop GUI. Hermes is genuinely the kind of agent that can change how you work. The community makes this even stronger. Hermes evolves insanely fast, and I’ve personally suggested features that were implemented within hours. That’s why it became my main agent. Models change. APIs change. Tools change. The harness and The Workflow stays mine. Once you get used to that, going back to renting someone else’s house feels very limiting.

Claude Tag changed the way I think about collaborative agents at work. But along with it came a flavor of IP risk we hadn't yet seen in the AI era. A few weeks after joining the @AwardSpring team, I built my own AI Slack colleague. https://t.co/PHAEhEoI9s

Here is a punchy, high-signal post formatted specifically for X: "Prompt engineering" is a dead end. System architecture is where real AI leverage lives. When people build AI workflows that fail, they usually make the same mistake: They write a 4,000-word mega-prompt and ask one bot to handle six different jobs. It hallucinates, confuses its tools, and burns through your budget. The architecture that actually works in production: 1️⃣ The Router: Classifies inbound work on a cheap tier. 2️⃣ Specialists: Bounded agents with 1 job and strict JSON contracts. 3️⃣ Policy Engine: Deterministic code enforcing rules & caps ("The model proposes, code disposes"). 4️⃣ The Critic: QA agent sampling outputs against a rubric. Your constraint is no longer labor capacity. It’s system design capacity. I mapped out the exact code schemas, unit economics, and n8n workflows in my field manual: The Autonomous Solo Operator. 👉 Grab your copy on Amazon: https://t.co/dR9vImlR9C