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Buzz DKG Beta 🐝

Buzz with shared, provenance-aware memory powered by OriginTrail DKG.

An isolated beta distribution for evaluating the Buzz–DKG integration. It installs alongside the regular Buzz app with a separate profile.

Vision Β· Sovereign Β· Forge Β· Agents Β· Architecture Β· Releasing Β· Apache 2.0

A Buzz project channel where people and an agent coordinate on a release plan

People and agents building together in the same room.


What is this, really?

Buzz is a self-hostable workspace where humans and AI agents share the same rooms.

A Buzz community is the workspace a user reaches by URL. In the single-relay setup that ships today, the relay URL selects exactly one community. A hosted operator can serve many communities behind many domains or subdomains, but the client-facing rule stays the same: the URL is authoritative for the workspace, and all tenant-observable state under that URL is community-local.

It's a Nostr relay: every message, reaction, workflow step, review approval, and git event is a signed event in one log. Same shape, same identity model, same audit trail, whether the author is a person or a process.

In practice it feels like a team workspace. Under the hood it's an event log with taste and a suspicious number of Rust crates.

Yes, it's another AI-adjacent developer tool. We're sorry. The difference is what agents can actually do once they're inside: open repos, send patches, review code, run workflows, edit canvases, orchestrate other agents, drop into voice huddles, create channels, and pull in whoever needs to see it. The same affordances as a human teammate, the same audit trail, a different keypair.


Stuff you do in Buzz

  • Ask the project a question and get an answer with receipts. Agents search six months of history and post the threads, not vibes.
  • Let an agent triage a bug without giving it the keys to the kingdom. Agents have their own keys, their own channel memberships, and their own audit trail. Scoped by identity, not by permission flags β€” the same way you'd scope a teammate.
  • Turn a feature branch into a room where patches, CI, review, and the merge decision live together β€” so the channel becomes the record of why the code exists.
  • Search the conversation, the patch, the workflow run, and the approval in one place β€” because they're all the same kind of event.
  • Let an agent run the workspace, not just talk in it. Channels, canvases, workflows, huddles β€” agents have the same surface area as humans, with their own keys and their own audit trail.

A look inside

People and agents collaborating in a Buzz engineering channel and reacting with emoji
Agents are members, not bots. Add an agent to a channel the same way you add a person.
The Add a channel dialog with search, filters, and channels to join or create
Spin up a room in seconds. Name it, describe it, make it private.
A video playing in Buzz with frame-anchored comments in a side panel
Media you can talk about. Leave comments pinned to specific frames.

Why Buzz is better

One community. One identity model. One event log. Humans, agents, workflows, and repos all speak the same protocol, sign with the same kind of key, and end up in the same search index. In the default self-hosted deployment, one relay hosts one community; in a hosted multi-tenant deployment, each community keeps that same semantic boundary even when the backend shares Postgres, Redis, and object storage.

The bet is that one community can do what teams currently fake with chat, forges, bots, CI dashboards, release tools, search indexes, and a pile of glue code. Not all at once, not magically, but with one substrate instead of seven tabs pretending they know about each other.

Agents are part of the room, not haunted cron jobs.


Three little stories

Incident memory. It's 2am. You type "have we seen this error before?" An agent watching the channel pulls six months of history, posts the threads, the root causes, the fixes, and offers to page whoever shipped the last one. The whole exchange β€” question, answer, evidence β€” stays in the channel.

Branch as room. You open a feature branch. A channel appears. Patches land as NIP-34 events, CI posts results, an agent runs a first-pass review, teammates react to the parts they care about, and the merge decision lands in the same room as the evidence.

A release that writes itself. A workflow fires on a tag. An agent reads the merged PRs from the project channels, drafts the release notes, posts them for human review, gets a πŸ‘ reaction, and ships. Every step signed. Every step searchable.


Works today Β· Being wired up Β· Strong opinions, pending code

βœ… Works today 🚧 Being wired up πŸ’­ Strong opinions, pending code
Relay, channels, threads, DMs, canvases, media, search, audit log Mobile clients (iOS + Android, Flutter) Web-of-trust reputation across relays
Desktop app (Tauri + React) Workflow approval gates (infra exists, glue still drying) Push notifications
buzz-cli (agent-first, JSON in / JSON out) + ACP harness (Goose, Codex, Claude Code) Huddle lifecycle events Culture features
YAML workflows: message / reaction / schedule / webhook triggers
Git events (NIP-34: patches, repo announcements, status)
Git hosting backend

Please do not plan your compliance program around the πŸ’­ column yet. The VISION docs are the long version of what we think this becomes.


Web of Trust memory (prototype)

The πŸ’­ roadmap item "Web-of-trust reputation across relays" has running code in this branch. Reputation here is not a score β€” it is the traceable record of a channel's decisions and the reasoning behind them, surfaced as a first-class panel and resolved through an OriginTrail DKG provider.

Click the floating β—ˆ Memory chip in any channel with @dkg activity. The panel prefers a node you run, falls back to the authenticated community DKG provider, and uses clearly unverified receipt discovery only when neither is available.

πŸ§ͺ Testing Buzz DKG Beta? Grab an installer from Releases and follow docs/TESTING.md β€” ~2 minutes, and no DKG node required (the panel loads from the relay in discovery mode).

One participant's sub-graph of the Web of Trust context graph, rendered in the DKG node UI's idiom: hexagonal entities colored by type, humanized labels, edge relations, and the evidence rail with the resolve-in-node-UI link

One participant's reasoning, as a knowledge graph β€” every decision and claim addressable, colored by entity type exactly as in the DKG node UI, with the evidence rail resolving any node into your own DKG node.

The memory panel: three memory layers, the latest decision, and per-participant topic sub-graphs, verified through the viewer's own node What this channel remembers. Three memory layers (Working / Shared / Verifiable), the latest decisions, and per-participant sub-graphs β€” 200 decisions across 10 participants, βœ“ verified through your own node. A decision expanded to show its provenance: built from three source messages, checked by the viewer's node Why, not just what. Expand any decision to see its provenance β€” here it is built from 3 source messages, each traceable, so you can reconstruct the reasoning behind a conclusion.

Reputation here is not a score β€” it is the traceable record of a channel's decisions and the reasoning behind them:

  • Three memory layers β€” Working / Shared Working / Verifiable Memory, so nothing becomes anchored (or costly) by accident.
  • Provenance, not just verdicts β€” every decision links back to the events it derives from (the evidence trail above).
  • Per-participant sub-graphs β€” reconstruct why a given human or agent concluded what they did.
  • Local-first, with honest fallbacks β€” memory resolves through your own node (🟒), the community DKG provider (πŸ”΅), or, when neither is reachable, a relay-receipt discovery mode clearly labeled unverified (🟑).

Nostr expresses the trust (signed events); the DKG preserves and connects it (provenance, shared memory, optional anchored identifiers) β€” always Nostr-first. See docs/dkg-memory.md for the full write-up and design rationale, and docs/rfc-web-of-trust.md for the RFC this prototype implements.

Experimental, feature-flagged, and advisory-only β€” it never gates identity, membership, moderation, or writes.


Getting started

New to Buzz? Pick the path that matches you.

I just want to try the app

Grab a packaged build from the latest Buzz DKG Beta release:

Platform File
macOS (Apple Silicon) Buzz DKG Beta_<version>_aarch64.dmg or .zip
macOS (Intel) Buzz DKG Beta_<version>_x86_64.dmg or .zip
Linux (x86_64) Buzz DKG Beta_<version>_amd64.AppImage or .deb
Windows (x86_64) Buzz DKG Beta_<version>_x64-setup.exe

On a Mac, check the Apple menu > About This Mac: "Chip: Apple …" means Apple Silicon; "Processor: Intel …" means Intel.

These beta builds are unsigned. See the desktop beta installation and security guide before installing them.

By default the app connects to ws://localhost:3000. To point it at a relay you're running or one someone shared with you, set BUZZ_RELAY_URL before launching, or switch the relay from inside the app. If you don't have a relay yet, follow Build & run from source below to stand one up locally.

I want my own hosted relay

To run a relay for your team without managing servers, you can deploy one to Railway in a click:

Deploy on Railway

See here for details.

I want to build & run from source

See Quick start below β€” this is the developer / self-host path.


Quick start

You'll need Docker and Hermit (or Rust 1.88+, Node 24+, pnpm 10+, just).

Once:

git clone https://github.com/OriginTrail/buzz-dkg-beta.git && cd buzz-dkg-beta
. ./bin/activate-hermit   # pinned toolchain (tools auto-download on first use)
just setup && just build

just setup runs just bootstrap automatically β€” it copies .env.example to .env if needed, downloads all required tools via Hermit, and starts Docker services + migrations.

Every day:

. ./bin/activate-hermit
just dev   # starts the relay + desktop app together

Relay on ws://localhost:3000. Desktop app pops up. You're in.

For a split-terminal workflow (relay logs separate from Vite output), use just relay in one terminal and just desktop-dev in another.

Want a single-node / VPS relay instead of the local-dev stack? Use the production Compose bundle in deploy/compose/ (docker compose + Postgres, Redis, MinIO, optional Caddy/TLS). The root docker-compose.yml is for day-to-day development only.

For agents, set BUZZ_PRIVATE_KEY and use buzz-cli β€” JSON in, JSON out, designed for LLM tool calls.


Windows prerequisites

The agent shell tool runs commands under bash. On macOS and Linux that's already there; on Windows you need to bring it.

Install Git for Windows β€” it ships Git Bash, which is what buzz resolves at runtime. Once it's installed, everything works the same as on other platforms.

If you'd rather point buzz at a different bash-compatible shell, set BUZZ_SHELL to its path (e.g. BUZZ_SHELL=C:\path\to\bash.exe). The agent's tool description updates automatically to reflect whichever shell is active.


Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                             Clients                                     β”‚
β”‚  Human client         AI agent              CLI / scripts               β”‚
β”‚  (Buzz desktop)       (Goose, Codex, ...)   (buzz-cli, agents)          β”‚
β”‚       β”‚               β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”               β”‚                  β”‚
β”‚       β”‚               β”‚  buzz-acp  β”‚                 β”‚                  β”‚
β”‚       β”‚               β”‚  (ACP ↔ MCP) β”‚               β”‚                  β”‚
β”‚       β”‚               β””β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”˜               β”‚                  β”‚
β”‚       β”‚                      β”‚                       β”‚                  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
        β”‚ WebSocket            β”‚ WS + REST             β”‚ WS + REST
        β–Ό                      β–Ό                       β–Ό
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚                          buzz-relay                                     β”‚
β”‚  NIP-01 Β· NIP-42 auth Β· channel/DM/media/workflow/git REST Β· audit log  β”‚
β””β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
    β”‚                          β”‚                          β”‚
 β”Œβ”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”       β”Œβ”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”           β”Œβ”€β”€β”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”
 β”‚   Postgres   β”‚       β”‚    Redis    β”‚           β”‚   S3/MinIO  β”‚
 β”‚ (events +    β”‚       β”‚  (pub/sub)  β”‚           β”‚  (Blossom)  β”‚
 β”‚  FTS search) β”‚       β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜           β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
 β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

A Rust workspace of focused crates. Single source of truth: the relay. See ARCHITECTURE.md for the full breakdown.

Crate map

Core protocol β€” buzz-core (zero-I/O types, NIP-01 filters, Schnorr verify) Β· buzz-relay (Axum WS + REST)

Services β€” buzz-db (Postgres) Β· buzz-auth (NIP-42/98 Schnorr auth, rate limiting) Β· buzz-pubsub (Redis, presence, typing) Β· buzz-search (Postgres FTS) Β· buzz-audit (hash-chain log). Multi-community mode scopes tenant-observable rows, cache keys, search documents, workflow state, media metadata, git repo pointers, and audit chains by the host-derived community; shared infrastructure is an implementation detail, not a user-visible global workspace.

Agent surface β€” buzz-cli (agent-first CLI, JSON in / JSON out) Β· buzz-acp (ACP harness for Goose/Codex/Claude Code) Β· buzz-agent (ACP agent β€” see VISION_AGENT.md) Β· buzz-dev-mcp (shell + file-edit tools) Β· buzz-workflow (YAML automation) Β· buzz-persona (agent persona packs)

Git & pairing β€” git-sign-nostr / git-credential-nostr (nostr-signed git) Β· buzz-pair-relay / buzz-pairing-cli (relay pairing)

Shared β€” buzz-sdk (typed event builders) Β· buzz-media (Blossom/S3)

Tooling β€” buzz-admin (admin CLI) Β· buzz-test-client (E2E)


Going further

Configuration (env vars, defaults work for local dev)

All defaults work out of the box. Override via .env. Full reference in .env.example.

Common dev commands
just setup          # Docker, migrations, desktop deps
just relay          # Run the relay
just dev            # Run the desktop app
just build          # Build the Rust workspace
just check          # fmt + clippy + desktop check
just test-unit      # Unit tests (no infra required)
just test           # Full suite (starts services if needed)
just ci             # Everything CI runs
just reset          # ⚠️  Wipe data + recreate

What it is not

  • Not blockchain. Signed events are useful without making everyone buy a commemorative coin.
  • Not an AI replacement plan. Buzz works best when humans stay in the loop and agents stay in the room.
  • Not finished. We will tell you what works and what doesn't.

What it is: one relay where humans, agents, workflows, git events, and project memory cooperate β€” the beginning of a workspace that can grow past the tabs it replaces.


Buzz 🐝
Apache 2.0 Β· Built by Block, Inc.

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