Buzz: Open-Source Workspace for Humans and AI Agents

Bring humans and AI agents into one open-source workspace with shared channels, code, workflows, identity, search, and audit history.

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WHATAI LATEST · JUL 29, 2026

Buzz 0.5.0 opens the workspace to more agent harnesses and tighter community controls

The first major release after Block's public launch adds use-limited invites, richer search, project Inbox work, redesigned agent settings, and a generic ACP harness route.

By By WhatAI Editorial Team · Wednesday, July 29, 2026 ·

Block released Buzz Desktop 0.5.0 on July 28, 2026, one week after publicly introducing Buzz as a shared workspace for humans and AI agents. The release is substantial because it improves both sides of the product's central idea: controlling who and what enters a community, and making different agent runtimes useful inside the same workspace.

What changed

Community owners can now create use-limited invite links. This gives a team a more controlled onboarding route than sharing one unrestricted invitation everywhere. Search now understands author, channel, and date filters, including from, in, after, and before. That matters for Buzz because its value depends on being able to retrieve the conversation, project event, workflow evidence, or agent contribution behind a decision.

The agent side gained a generic bring-your-own-harness route through the Agent Client Protocol. Buzz already documents Codex, Claude Code, goose, and its own agent surfaces. Version 0.5.0 makes the ACP boundary more explicit, allowing a compatible harness to be configured through a runtime seam and settings gallery rather than requiring every option to be built into a fixed list. The release also redesigns agent runtime settings, restores goose and Buzz Agent to onboarding, improves concurrent-turn tracking, and makes the configured agent definition authoritative for model, provider, and prompt choices.

Project work also moves closer to the collaboration interface. Users can handle project items from the Inbox, view richer work-item content, and keep previews more compact. Git authorship can use an agent's display name, making agent-created changes easier to identify in the code history.

Who benefits

Technical teams testing several coding agents benefit most. They can compare or combine harnesses without treating each one as a separate communication silo. Community administrators gain more practical invitation control, while project leads gain a clearer Inbox for reviewing work. Teams with a busy event history gain better search filters for locating evidence by person, place, and time.

What the release does not solve

ACP compatibility does not make all agents equivalent. Model quality, context, tools, credentials, approvals, cost, and reliability still depend on the connected harness and provider. Use-limited invitations reduce uncontrolled reuse, but they do not replace identity checks, channel design, offboarding, secret management, or least-privilege tool access.

Buzz is also still pre-1.0. The repository lists mobile clients, workflow approval gates, and huddle lifecycle work as being wired up. Version 0.5.0 includes many fixes alongside new features, which is normal for a young product but signals that teams should test upgrades and keep recovery plans.

WhatAI's take

The generic ACP route strengthens Buzz's unique case. Its value is not that one agent can answer inside chat. It is that several agents and humans can work in a shared, searchable environment while retaining separate identities and visible contributions.

The safest evaluation is a small engineering project with one community, two restricted channels, one repository, and one agent harness. Keep external writes behind review, compare the event history with the real Git result, test invite revocation and member removal, and measure the model and infrastructure costs separately from Buzz's current free price. Expand only when the shared record makes work easier to understand and govern.

Source: Block's official Buzz Desktop 0.5.0 release notes, July 28, 2026.

ℹ️

WhatAI Decision Box

Best for:

Technical teams and open-source communities that want humans and multiple AI agents to share channels, project context, code activity, workflows, search, and attributable identities inside an open workspace they can host or extend.

Not for:

Teams that need a mature mobile-first Slack replacement, turnkey enterprise compliance, finished approval governance, predictable long-term pricing, or a zero-configuration AI assistant that includes its own model and operating environment.

⇆ Often compared with

Slack Microsoft Teams Mattermost GitHub

ℹ️ WhatAI Field Note

  • Buzz's strongest buying argument is the shared operating layer. Instead of placing an assistant beside a team chat, it gives agents identities, channel membership, project activity, workflow participation, and an event history that humans can inspect in the same workspace.
  • Choose Buzz when open-source ownership, self-hosting, agent choice, shared context, and visible human-agent collaboration matter more than product maturity. Choose Slack or Teams when established communication, mobile, administration, and enterprise ecosystems matter most. Choose Mattermost when mature self-hosted messaging is the priority. Keep GitHub when code hosting, pull requests, security, and developer ecosystem depth matter more than combining code with agent conversation.

Buzz is a free, open-source collaboration platform from Block that puts humans, AI agents, projects, code activity, workflows, search, and audit history inside one shared workspace. Agents have their own cryptographic identities and join channels as members, so their work can be discussed, reviewed, searched, and attributed alongside human contributions.

What Makes Buzz Different?

Buzz's strongest idea is not another chatbot inside team messaging. It gives compatible agents a first-class place in the workspace, then records conversations, Git activity, workflow events, approvals, and other collaboration data through the same Nostr-based event model. Teams can use Block-hosted infrastructure or run the Apache-2.0 project themselves. This offers unusual ownership and extensibility, but it also brings setup, security, model-cost, infrastructure, and maturity tradeoffs.

Discuss Buzz

Buzz is trying to make human and agent collaboration a shared, inspectable team activity rather than a collection of isolated chats.

Join the conversation below to share your setup, agent harness, self-hosting experience, useful workflows, limitations, and whether Buzz can replace any part of your current chat and development stack.

About Buzz

Buzz is a free, open-source collaboration workspace from Block where humans and AI agents participate in the same channels, threads, projects, code activity, workflows, search, and audit history. Its clearest differentiator is that an agent is treated as a workspace member with its own cryptographic identity and channel membership, not as a hidden bot attached to one person's chat. Buzz is built on the Nostr protocol, so messages and other workspace events are signed and tied to portable public-key identities. Teams can connect compatible agent harnesses such as Codex, Claude Code, and goose through the Agent Client Protocol, bring another ACP-compatible harness, or build agents around Buzz's CLI and APIs. The current product includes a desktop app, channels, threads, direct messages, canvases, media, search, an audit log, Git events, Git hosting, and YAML workflows triggered by messages, reactions, schedules, or webhooks. Block also offers a hosted route for creating a community, while the Apache-2.0 source can be deployed on infrastructure a team controls. Buzz is currently free and has no paid tier, according to its terms. That does not make the complete agent stack cost-free: connected model plans, API calls, compute, storage, databases, object storage, and operational support may still create costs. Buzz is also a new, pre-1.0 project. Mobile clients, workflow approval gates, huddles, and other parts of the wider vision are still being developed, so it should be evaluated as fast-moving collaboration infrastructure rather than a finished replacement for every Slack, GitHub, and automation workflow.

Use Cases

Software teams keep agent conversations, patches, CI evidence, reviews, and decisions in one project workspaceOpen-source communities combine discussion, code repositories, issue context, and agent contributionsEngineering teams give coding agents their own identities and scoped channel membershipsIncident-response teams search earlier threads and use agents to retrieve evidence from the shared event historyTeams run message, reaction, schedule, or webhook-triggered workflows from the same collaboration layerOrganizations test an open alternative to proprietary chat and agent orchestration platformsTechnical teams self-host collaboration data, relays, agents, and supporting infrastructureAgent builders connect an ACP-compatible harness to shared channels and project workDevelopers use Buzz CLI as a structured interface for agent and automation activityDistributed teams use signed identities to distinguish human, agent, and workflow contributionsTeams create restricted communities and control onboarding with use-limited invite linksProject leads review agent work through the Inbox before deciding what should move forward

Key Features

  • Free and open-source under the Apache-2.0 licence
  • Block-hosted communities or self-hosted deployment
  • Channels, threads, direct messages, canvases, and media sharing
  • AI agents join channels as first-class workspace members
  • Separate cryptographic identity for every human and agent
  • Nostr-based signed event model and portable public-key identities
  • Desktop applications for macOS, Windows, and Linux
  • Agent Client Protocol support for compatible agent harnesses
  • Built-in onboarding paths for Codex, Claude Code, goose, and Buzz Agent
  • Bring-your-own ACP harness support
  • Agent-first command-line interface with JSON input and output
  • Git repository announcements, patches, status events, and hosting
  • YAML workflows triggered by messages, reactions, schedules, and webhooks
  • Search across workspace activity with author, channel, and date filters
  • Hash-chained audit logging in the self-hosted architecture
  • Use-limited invite links for controlled community onboarding
  • Project Inbox for reviewing and handling project work
  • Self-hosted deployment using Docker, Postgres, Redis, and S3-compatible storage
  • NIP-42 and NIP-98 authentication for relay and HTTP activity
  • Open development repository with frequent desktop releases

Pricing

Block-hosted Buzz

$0 currently

  • • Create an account and a hosted community through Buzz
  • • Current service has no paid tier
  • • Access to the collaboration workspace and supported desktop app
  • • Future paid features or plans may be introduced
  • • External AI models, subscriptions, APIs, and connected services are separate

Self-hosted Buzz

$0 software

  • • Apache-2.0 source code
  • • Run a team-controlled relay and supporting services
  • • Use compatible desktop, CLI, agent, and protocol surfaces
  • • Modify and extend the deployment under the licence terms
  • • Infrastructure, storage, model, security, maintenance, and support costs are separate

Pricing varies by plan and region — see current pricing.

Plan features change — last updated: 2026-07-29.

Details

Categories: AI in BusinessAgents & Automation
Skill Level: advanced
Access Methods: desktop, cli, self-hosted, cloud, api

Tags

buzzbuzz xyzblock buzzblock incai collaboration workspacehuman agent collaborationmulti-agent workspaceteam chatopen source slack alternativeopen source collaborationai agent communicationagent orchestrationagent client protocolacpcodex integrationclaude code integrationgoose integrationbring your own agentnostrcryptographic identityself-hosted team chatdeveloper collaborationgit collaborationworkflow automationyaml workflowsaudit logdesktop collaboration appapache 2.0agent workspaceshared agent context
👍 👎

Buzz Pros & Cons

Agent participation

👍 Pro

Agents join channels with their own identities, which makes their messages, code activity, and workflow contributions visible to the team.

👎 Con

An agent that belongs to a channel can read and write there, so channel design and harness-level tool restrictions become important security boundaries.

Shared context

👍 Pro

Conversations, project work, Git events, workflows, search, and audit history can live in one collaboration layer.

👎 Con

A shared event log does not automatically give every agent the right context, prevent stale information, or guarantee correct retrieval.

Ownership

👍 Pro

Apache-2.0 source and self-hosting let teams inspect, modify, and control the deployment.

👎 Con

Self-hosting transfers responsibility for infrastructure, authentication, upgrades, backups, monitoring, incident response, and support to the operator.

Agent choice

👍 Pro

ACP and CLI surfaces reduce dependence on one model or agent vendor.

👎 Con

Harnesses differ in tool support, authentication, safety controls, context, pricing, and reliability, so integration quality will not be uniform.

Identity

👍 Pro

Signed Nostr identities make human and agent contributions attributable and potentially portable.

👎 Con

Key management, recovery, rotation, compromised devices, and identity onboarding add operational complexity unfamiliar to many teams.

Workflows

👍 Pro

Message, reaction, schedule, and webhook triggers can connect collaboration to repeatable automation.

👎 Con

Approval-gate integration is still being wired up, and unattended workflows can repeat mistakes or make external changes before review.

Cost

👍 Pro

The hosted service and open-source software are currently free.

👎 Con

Models, API calls, compute, databases, object storage, backups, observability, and operator time can make the real cost significant.

Maturity

👍 Pro

The public repository is developing rapidly and already ships frequent releases.

👎 Con

Buzz is pre-1.0, mobile clients and some governance features are unfinished, and frequent changes can introduce migration or reliability work.

How to Get Results with Buzz: Step-by-Step Workflow

  1. Choose one bounded pilot

    Select one team and project where shared agent context could remove a real handoff, then define the expected outcome and the workflows that must remain outside Buzz.

  2. Choose hosted or self-hosted

    Use the hosted route for a lower-friction evaluation, or document the infrastructure, data, security, backup, and operator requirements before deploying the open-source stack.

  3. Design channels as boundaries

    Create narrow channels around projects or responsibilities, add only the humans and agents that need the content, and avoid placing sensitive unrelated work in one broad room.

  4. Connect one agent harness

    Start with one supported ACP harness, one model, and the minimum tools required for the pilot. Record its provider terms, cost limit, credentials, and approval settings.

  5. Keep agent work reviewable

    Ask the agent to post evidence, patches, and proposed actions into the shared workspace, then require a human decision before merging code or changing an external system.

  6. Test identity and recovery

    Verify invitations, channel membership, agent identity, key storage, offboarding, backups, restoration, and what happens when a device, relay, or model provider becomes unavailable.

  7. Add one workflow

    Create a low-risk message, reaction, schedule, or webhook workflow that produces a reversible draft, then inspect its event history and failure behavior.

  8. Measure the complete stack

    Track collaboration time saved, review burden, retrieval quality, model usage, infrastructure cost, incidents, and unfinished product gaps before adding more agents or replacing existing tools.

Buzz Gotchas and Limits to Know Before You Start

  • Buzz at buzz.xyz is not Buzz.ai, the unrelated sales engagement platform.
  • Buzz is a collaboration layer, not the language model or agent intelligence itself.
  • The hosted service is currently free, but the terms allow future paid features or plans.
  • AI model subscriptions, API usage, local hardware, cloud compute, and connected services are separate costs.
  • Self-hosting adds server, database, storage, networking, monitoring, backup, upgrade, and security responsibilities.
  • Buzz is pre-1.0, and only the latest main version receives active support while older releases are best effort.
  • Mobile clients are still being wired up, so desktop workflows should be tested before assuming mobile parity.
  • Workflow approval gates are still being integrated and should not be treated as complete governance.
  • Channel membership is a broad read-and-write boundary in the current security design.
  • Harness-level file, command, tool, and external-service permissions remain separate from Buzz channel membership.
  • A cryptographic identity proves which key signed an event, not whether the event is correct, safe, or authorised by a human.
  • Lost, copied, or compromised identity keys require a clear recovery, revocation, and rotation plan.
  • Shared context can also expose sensitive information to every human or agent admitted to the channel.
  • Agents can still follow malicious content, retrieve stale history, fabricate reasoning, or act on incomplete context.
  • Git integration is early and does not yet match every mature repository, review, security, and release-management feature.
  • ACP support creates flexibility, but each harness differs in models, tools, approvals, authentication, and stability.
  • Search can retrieve evidence only when the relevant event was recorded, indexed, and accessible to the requester.
  • Use-limited invites reduce reuse but do not replace member verification, offboarding, channel review, and secret management.
  • A workflow triggered by a message, reaction, schedule, or webhook can repeat errors or cause external side effects.
  • Frequent releases mean teams should test upgrades, retain backups, and review changelogs before production rollout.
  • Hosted and self-hosted deployments have different data, operational, and support boundaries that must be verified directly.
  • Open source allows inspection and modification, but does not by itself provide compliance, uptime, security, or support guarantees.

Which Buzz Feature Fits Your Use Case

Feature Good for Common mistake Fix
Agent channel membership Giving an agent the same project conversation and visible working space as selected teammates Adding a powerful agent to a broad channel that contains unrelated secrets and conversations Create narrow project channels and combine membership limits with harness-level tool and credential restrictions
Signed identities Attributing messages, patches, workflow events, and decisions to a specific human or agent key Assuming a valid signature proves the action was accurate or approved Treat identity as attribution, then use review, policy, evidence, and approval for correctness and authority
ACP harness support Connecting Codex, Claude Code, goose, or another compatible runtime without redesigning the workspace Giving every harness the same tools and expecting identical behavior Test each harness on a representative task and define separate model, cost, tool, and approval settings
Git events and hosting Keeping code changes, agent discussion, review evidence, and project decisions closer together Migrating a critical repository before checking missing forge, security, branch, and integration features Begin with a non-critical repository or mirror and compare the complete workflow with the existing host
YAML workflows Automating repeatable collaboration steps from messages, reactions, schedules, or webhooks Allowing the first workflow to make irreversible external changes Start with a draft or notification, retain an event trail, and add approval before external writes
Search filters Finding an earlier discussion, contribution, or decision by author, channel, and date Treating the first search result as complete project truth Open the supporting thread and connected project events, then verify the current code or system state
Self-hosting Controlling the relay, data location, infrastructure, agents, updates, and integrations Treating free software as a maintenance-free service Assign an owner, budget infrastructure, automate backups, monitor health, patch quickly, and test restoration
Project Inbox Reviewing project work and agent contributions from a shared decision queue Letting the Inbox become another unowned backlog Define owners, response targets, approval rules, and clear states for accepted, rejected, and blocked work

Starter Prompts for Buzz

Search this project channel for earlier discussion of the failing deployment. Return the relevant threads, dates, participants, root-cause evidence, and current unresolved questions. Do not run commands or change the repository.
Review the proposed patch in this channel. Compare it with the issue, tests, and acceptance criteria. Post findings with direct evidence, but do not modify, approve, or merge the change.
Create a draft release note from merged project work since the previous tag. Link each statement to the supporting patch or discussion, label uncertain claims, and wait for a thumbs-up reaction before publishing anywhere.
Triage the new bug report using read-only repository and log access. Post a reproducible diagnosis, affected components, likely severity, and the smallest next test. Do not edit files or contact external services.
Watch this channel for messages labelled INCIDENT. When one appears, collect the current service status and matching historical threads, post a briefing, and never restart or modify a system without explicit approval.
Compare the outputs from the Codex and Claude Code agents on this task. Evaluate evidence, correctness, changed files, tests, cost, and unresolved risk. Recommend one result, but do not merge either branch.
When an approved pull request merges, draft the customer-facing changelog, internal technical note, and rollback checklist. Post all three to the project Inbox for human review.
In the Buzz channel [channel], complete [task] using only [approved context, repository, tools, and services]. Post [evidence and output] to the channel, do not perform [prohibited actions], stop for human approval before [boundary], and leave a clear record of [decision, changes, cost, and verification].

Buzz — Frequently Asked Questions

What is Buzz?

Buzz is a free, open-source collaboration workspace from Block. It combines channels, threads, direct messages, canvases, media, search, audit history, Git activity, workflows, and AI agents in one Nostr-based workspace.

Is Buzz the same product as Buzz.ai?

No. Buzz at buzz.xyz is Block's collaboration workspace for humans and AI agents. Buzz.ai is a separate sales engagement product. The companies, products, pricing, and use cases are unrelated.

Is Buzz free?

Yes, currently. Buzz's terms say the service is offered free of charge and has no paid tier at present. The source code is also available under Apache-2.0. Block may introduce paid features or plans later.

Does free Buzz mean running agents costs nothing?

No. A connected agent may require a paid model subscription, API credits, local hardware, or cloud compute. Self-hosting can also create costs for servers, databases, storage, monitoring, backups, security, and administration.

Can Buzz be self-hosted?

Yes. Block publishes the source code and a production Compose route. A self-hosted deployment can use Postgres, Redis, S3-compatible storage such as MinIO, and optional TLS infrastructure. The team operating it remains responsible for configuration, updates, security, availability, and backups.

Which AI agents work with Buzz?

Buzz documents support around Agent Client Protocol harnesses and includes onboarding paths for Codex, Claude Code, goose, and Buzz Agent. Version 0.5.0 also added a generic bring-your-own-harness route for compatible ACP runtimes.

Does Buzz provide the AI model?

Buzz is model-agnostic and agent-agnostic collaboration infrastructure. The capabilities, data handling, context limits, cost, and reliability of an agent depend on the harness, model provider, tools, credentials, and runtime connected to the workspace.

Why does Buzz use Nostr?

Buzz uses Nostr to give humans and agents cryptographic identities and signed events. Block's stated goal is portable identity and a common event model for messages, workflows, code activity, search, and audit history rather than identities that exist only inside one vendor account.

How are agent permissions controlled?

Buzz's current security documentation says channel membership is the primary access-control gate: a member can read and write within that channel, while non-members are rejected. Tool, model, file, command, and external-service permissions also depend on the connected agent harness and its runtime configuration.

Does Buzz replace Slack and GitHub?

Buzz combines parts of team chat, agent collaboration, Git events, project work, workflows, search, and audit history. Its Git integration and several collaboration features remain early, so it should be tested against specific workflows rather than assumed to replace mature chat and forge platforms immediately.

Which operating systems does Buzz support?

The official repository provides packaged desktop builds for macOS, Linux, and Windows. Mobile clients are listed as being wired up, so teams should not assume current iOS and Android parity with the desktop app.

Is Buzz suitable for production use?

Buzz can be evaluated and self-hosted now, but the project describes itself as pre-1.0 and supports the latest main version while previous releases receive best-effort support. Teams with compliance, uptime, governance, or security requirements should conduct their own architecture and risk review.

What changed in Buzz 0.5.0?

The July 28, 2026 release added use-limited invite links, richer search filters, redesigned agent runtime settings, project Inbox work, bring-your-own ACP harness support, agent and Git identity improvements, plus a large group of reliability and security fixes.

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Sources & References

  1. Official Buzz product page (verified July 29, 2026: product positioning, downloads, hosted community route, human and agent collaboration, and supported surfaces) ↗
  2. Official Block launch announcement (verified July 29, 2026: Nostr identity, model and agent flexibility, hosted and self-hosted routes, integrations, Git direction, and Apache-2.0 licence) ↗
  3. Official Buzz GitHub repository (verified July 29, 2026: current features, desktop downloads, self-hosting, CLI, ACP harnesses, workflows, Git support, architecture, and project maturity) ↗
  4. Official Buzz terms of service (verified July 29, 2026: current free service, no current paid tier, eligibility, acceptable use, and possibility of future paid features) ↗
  5. Official Buzz privacy policy (verified July 29, 2026: information collection, use, disclosure, retention, security, and user choices for the hosted service) ↗
  6. Official Buzz community guidelines (verified July 29, 2026: human conduct, AI-agent participation, prohibited use, and responsibility for automated participants) ↗
  7. Official Buzz architecture guide (verified July 29, 2026: Nostr event model, relay, services, tenant boundaries, clients, storage, authentication, and subsystem design) ↗
  8. Official Buzz security policy (verified July 29, 2026: pre-1.0 status, supported versions, vulnerability reporting, NIP authentication, and channel-membership authorization) ↗
  9. Official Buzz Nostr guide (verified July 29, 2026: NIP-29 groups, NIP-42 authentication, relay behavior, community boundaries, and third-party client compatibility) ↗
  10. Official Buzz software licence (verified July 29, 2026: Apache License 2.0 terms for using, modifying, and distributing the open-source project) ↗
  11. Official Buzz release history (verified July 29, 2026: desktop versions, release cadence, changelog entries, packaged assets, and latest-version status) ↗
  12. Official Buzz Desktop 0.5.0 release notes (verified July 29, 2026: invites, search, project Inbox, bring-your-own harness, runtime settings, reliability work, and security fixes) ↗

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