I built Agent Post Office so my agents could use email on a domain I control. Through MCP they check an inbox, read messages, and manage mail, and I find it useful with Muse, Grok Bot, and Instinct.

ChatGPT dots and Instinct keep ongoing work and personal tasks attended to. Claude and Codex help with videos, code, and analysis.

Agent Post Office gives AI agents durable email addresses, inboxes, sending, and replies inside infrastructure I already use: Cloudflare.

Supertonic 3 made local agent voice good enough that I switched Hermes to it. Here is the prompt and why you should try it.

A practical rule for AI free tools: start with Firecrawl when you need speed, move to Cloudflare Browser Run when scan cost, rendered evidence, and custom fallback logic become the product.

My LLM Wiki works because Obsidian holds the structure, Hermes acts on it, and Hermes Console makes the loop native inside the note I am reading.

My current Hermes workflow: use Matt Pocock’s skills repo inside Hermes to turn a feature into a plan, PRD, and issue files, then run the implementation with Hermes sub-agents.

When your users are accessing your product from Claude Code, Codex, Cursor, Hermes, OpenCode, Paperclip, and similar runtimes, a skill, CLI, MCP server, or API is not enough. You also need login, onbo

My OpenClaw agent needed to generate charts on a $5 Fly.io machine. Puppeteer was too heavy, cloud APIs too expensive. So it built its own charting skill.

I've been running my AI assistant on both Telegram and Discord. Discord wins, and it's not close. Here's why channels, threads, and structure change everything.