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Jack Dorsey's Block launches Buzz, an open-source group chat where AI agents are first-class teammates

Buzz merges workplace chat, code management, and AI agents into one decentralized, open-source platform aimed squarely at Slack and GitHub.

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What matters

  • Block launched Buzz, an open-source group chat platform where human employees and AI agents collaborate in the same workspace.
  • Dorsey described Buzz as model-agnostic, decentralized, self-sovereign, and open source, built to reduce Block's dependency on Slack and GitHub.
  • AI agents participate as independent workspace members with cryptographic identities, permissions, and activity histories — not as simple command bots.
  • Buzz combines channels, threads, DMs, voice, media sharing, code repositories, and automated workflows in a single interface.
  • The platform is open source, allowing developers to run their own instances.

Launch facts

Availability:
Open source; developers can run their own instances

What happened

On July 21, 2026, Jack Dorsey announced the launch of Buzz, a new group chat and collaboration platform built by his company Block. Dorsey shared the news on X, describing Buzz as a platform for "teams of people and agents of all sizes" that was built to reduce Block's own dependency on Slack and GitHub. He characterized it as "model-agnostic, decentralized, self-sovereign, and open source."

Buzz combines familiar workplace collaboration features — channels, threads, direct messages, voice, and media sharing — with code repositories and automated workflows, all in a single interface that resembles Slack. The key differentiator is that AI agents participate as independent members of the workspace rather than as simple command-response bots. According to reporting from Crypto Briefing, each human and agent receives a cryptographic identity with its own permissions and activity history, and agents can post messages, review code, and run approved workflows.

Because Buzz is open source, developers can spin up their own instances rather than relying on a hosted version. The product is not a side project: Block, which also operates Square, Cash App, Afterpay, and Tidal, built Buzz internally and is now making it available publicly.

Why it matters

Workplace collaboration tools are being reshaped by the rapid adoption of AI agents. As startups and enterprises increasingly delegate tasks to autonomous AI workers, a gap has emerged: most existing platforms treat agents as bolt-on integrations rather than native participants. Buzz's bet is that the next generation of team chat should treat humans and agents as peers in the same conversation, with shared context, permissions, and identity.

By targeting both Slack (chat) and GitHub (code management) simultaneously, Buzz is aiming at two of the most entrenched tools in modern software development. The open-source and decentralized framing also aligns with Dorsey's long-standing advocacy for self-sovereign and interoperable systems — themes he has pursued through projects like Bluesky and, more recently, Bitchat, a Bluetooth mesh messaging experiment.

The model-agnostic design means teams are not locked into a single AI provider, which could appeal to organizations wary of vendor lock-in as the agent ecosystem fragments across OpenAI, Anthropic, Google, and open-weight alternatives.

What to watch

  • Adoption beyond Block: Whether Buzz gains traction outside Dorsey's own companies will be the real test. Open-source projects can attract developer interest but still struggle with enterprise adoption.
  • Agent integration depth: How capable agents actually are within Buzz — and whether the cryptographic identity system meaningfully improves security and auditability — remains to be seen in practice.
  • Competitive response: Slack (Salesforce) and GitHub (Microsoft) are both investing heavily in AI features. Buzz's entry may accelerate their own agent-native roadmaps.
  • Self-hosting friction: Decentralized, self-sovereign platforms often place deployment and maintenance burdens on users. Watch for whether Block offers a managed hosted tier alongside the open-source code.

What to do next

Developers

Clone or explore the Buzz open-source repository to evaluate its architecture, agent integration model, and cryptographic identity system.

Buzz is open source, so developers can inspect the codebase, self-host instances, and assess whether the agent-as-peer model fits their workflows.

Founders

Pilot Buzz with a small team that already uses AI agents for code review or task automation, and compare collaboration friction against your current Slack-plus-GitHub stack.

Buzz's core value proposition is merging chat, code management, and agent collaboration into one window — founders should test whether that consolidation actually reduces tool-switching overhead.

PMs

Map your team's current agent workflows and identify which ones would benefit from agents having persistent identities and permissions inside a shared workspace.

Buzz's cryptographic identity and permissions model for agents could change how PMs govern what automated systems can access and do within team environments.

Investors

Monitor whether Buzz attracts third-party adoption and a contributor community beyond Block, and watch for any managed-hosting or enterprise monetization strategy.

Open-source collaboration tools live or die by ecosystem adoption. The commercial path for Buzz likely depends on a hosted tier or enterprise features, neither of which has been detailed yet.

Operators

Assess the migration cost of moving team chat and code management into a single new platform, and evaluate whether self-hosting Buzz is feasible with your current infrastructure team.

Buzz replaces two entrenched tools (Slack and GitHub) simultaneously; operators need to weigh consolidation benefits against switching costs and the operational burden of a decentralized, self-hosted platform.

How to test

  1. 1Visit the Buzz website linked in Dorsey's announcement and review available documentation and setup guides.
  2. 2If self-hosting, clone the repository and deploy a local or cloud instance following the provided instructions.
  3. 3Create a workspace with channels and invite both human team members and at least one AI agent.
  4. 4Assign the agent a cryptographic identity and configure its permissions for a specific workflow (e.g., posting messages, reviewing code).
  5. 5Run a representative collaborative task — such as a code review cycle or a project status update — with humans and agents interacting in the same channel.
  6. 6Compare the experience against your current Slack and GitHub workflow for the same task.

Caveats

  • Buzz was just announced; documentation, stability, and feature completeness may be limited at launch.
  • The platform is open source and decentralized, which may require more operational overhead than managed alternatives like Slack.
  • Pricing and availability of a potential managed hosted tier have not been detailed in the available sources.
  • Agent capabilities depend on the underlying AI model you connect; results will vary by provider and configuration.