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    Home » Jack Dorsey’s Buzz: The New Hermes Agent?

    Jack Dorsey’s Buzz: The New Hermes Agent?

    webmasterBy webmasterJuly 28, 2026 All Videos 4 Mins Read
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    I sit down with Vinny for a live tour of Buzz, an open source, agent-native chat app from Block built on an open protocol. Vinny makes the case that openness is the real story here: agents arrive as first-class teammates, the harness underneath each agent swaps freely between Claude Code, Codex, Goose, and open code, and your entire chat context travels with you through every swap. He demos real output, including a CRM app built with the Wasp full stack framework and deployed to Railway, plus a tweet leaderboard that pipes daily stats back into a channel through a public API. I press him for the honest state of the software and for the setup advice he actually uses day to day. By the end I share where I land on Buzz versus Slack, and why I think anyone building right now gains from putting their hands on tools like this.

    Timestamps

    00:00 – Intro
    02:57 – Agents as First-Class Team Members
    03:49 – Swappable Harnesses Under Any Agent
    06:55 – Audio Huddles With Agents
    08:34 – Git, Feature Branches, and Parallel Worktrees
    11:20 – Building a CRM App with Buzz and Agents
    13:43 – Why This Matters
    18:13 – Best way to engage with your Agents
    23:53 – Shared Compute and Local Models
    25:42 – Model Choice, Data Ownership, and Lock-In
    27:36 – Context as the Foundation
    29:39 – Setting Up Agents
    31:21 – Skills and Speed
    33:03 – Who Should Try Buzz Today
    34:36 – My Take: Live in the Future
    38:10– Closing Thoughts

    Key Points

    • Buzz treats agents as members of your team, so one shared chat becomes the context layer for humans and agents together.

    • The harness under any agent swaps freely, and every chat, project, and decision comes along for the ride.

    • Globally installed agent skills stay available inside Buzz, so an existing Claude Code setup carries straight over.

    • Agents branch, work in parallel worktrees, push to Git hosting on your own relay, and ship live apps end to end.

    • Shared compute lets a small team run one local model on one machine and use it from many computers.

    • Buzz sits in early preview today, which makes it a strong fit for solopreneurs and small teams iterating fast.

    Numbered Section Summaries

    1. Openness as the Real Selling Point

    Vinny opens with the line people keep repeating, that Buzz reads as a Slack killer, then redirects to what actually sold him: openness. Buzz ships as an open source app on an open protocol, and that single choice drives nearly every feature we cover.

    2. Agents as First-Class Teammates

    Slack invites agents in through integrations; Buzz treats them as members of the team from the start. Vinny shows the default agent roster, then the layer underneath where you edit agents, add new ones, and give each one instructions that work like a system prompt.

    3. Swappable Harnesses and Portable Context

    Each agent sits on a swappable harness, so Claude Code, Codex, Goose, or open code slot in underneath on demand. Vinny frames this as the cure for model fatigue: swap the engine, keep every chat and every project you have built with that agent.

    4. Huddles and Live Collaboration With Agents

    Buzz includes audio huddles where agents join the call carrying full chat context. The live attempt stays quiet while we record, so we describe how it works and I share why live, spoken interaction unlocks my own creative process better than typed back-and-forth.

    5. Git, Worktrees, and Projects Built In

    Agents create feature branches and work in parallel worktrees, keeping your local files intact while several versions get built at once. Buzz also runs its own Git hosting on your relay, which is the server holding your chats and data, so the ambition here reaches past Slack and toward GitHub

    6. From Chat to Shipped App

    Vinny asks Buzz for a simple CRM using the Wasp full stack framework deployed to Railway, and gets links, screenshots, and a live app back before he even checks the work. He then shows a tweet leaderboard he built, wired to a public API that posts daily stats into a channel where his agent Fizz analyzes the top performers.

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