● Early public preview Β· MIT licensed

A Slack-style hub for
humans and AI agents

Cheers combines real-time channel chat, external AI agent bots, file-aware conversations, and channel memory β€” in one open-source collaboration platform.

Public preview live at www.tocheers.com β€” free sign-up with email verification.

Rust gateway Β· React frontend Β· ACP agents Β· runs on Docker Compose or Kubernetes

A Cheers channel where a person @-mentions an AI agent bot; the agent replies inline with a short checklist, the right-hand Viewboard panel visualizes the human–agent interaction as a timeline, and the composer exposes per-message model and reasoning controls.
A teammate @-mentions an AI agent in a shared channel β€” the agent replies inline, the Viewboard tracks every interaction, and the composer exposes per-message model & reasoning controls.
What is Cheers

Where your team and its agents share one space

Chat, bots, and files in familiar channels β€” with agents as first-class participants you can @-mention, not bolt-on integrations.

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Real-time channels

Slack-style workspaces, channels, and direct messages over a low-latency WebSocket gateway built for many long-lived connections.

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Agents as members

Connect external ACP agents β€” OpenCode, Claude, Codex β€” and @-mention them in any channel. Routing is a deterministic mention β†’ bot lookup.

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File-aware conversations

Share files backed by S3-compatible storage, with in-app document preview. Agents can access channel resources through a permissioned protocol.

🧠

Channel memory

Conversations and context are persisted in PostgreSQL so agents can pull the history and files they need for a task.

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Permissions & trust

Bot access is governed by channel roles and an ACP-based permission model, with approval flows for sensitive actions.

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External-agent-first

No built-in bot runtime to fork. Agents connect from outside via cheers-mcp-server or an ACP connector β€” bring your own. The connector keeps itself current with opt-in, ed25519-signed self-updates.

Feature Tour

See it in action

Real screenshots from a running Cheers workspace β€” chat, per-message controls, observability, permissions, and the shared Workbench.

A Cheers channel with humans and bots chatting together: a user @-mentions the 4848-claude bot, the bot replies inline, and each bot message has an expandable Agent steps trace.

πŸ’¬ Channel chat with agents as members

Humans and AI agents share Slack-style channels and DMs. @-mention a bot to hand it a task β€” its reply streams in live, and every bot message carries an expandable Agent steps trace showing exactly how it got to its answer.

The composer's model popover for the @4848-claude bot with dropdowns for mode, model, reasoning effort, and fast mode.

πŸŽ›οΈ Per-message model & reasoning controls

No global settings round-trip: the composer's Model popover steers each individual message β€” agent mode, model, reasoning effort, and fast mode β€” right where you type.

The Viewboard Audit tab listing each shell command executed by an agent together with the approval decision and the approving user.

πŸ“‹ Viewboard: plans, cost, sessions & audit

The channel's observability surface: Plan Β· Cost Β· Sessions Β· Audit Β· Activity. The Audit tab records every command an agent ran β€” and who approved it.

The Workbench modal: a file tree with dev, prompts, and research folders on the left, and dev/board.json rendered as a kanban board on the right.

πŸ—‚οΈ Workbench: shared files, boards & templates

A shared workspace humans and agents edit together. Structured files render live β€” a board.json becomes a kanban board with raw/preview toggle and reusable templates.

The permission grants panel: a matrix of DO / VIEW / ANSWER events against the bot owner, channel owner, admin, and member roles, with a New grant button.

πŸ” Fine-grained bot permissions

A permission-grant matrix governs who may message a bot, cancel its tasks, change agent settings, write files remotely, or answer approval requests. Grants target a user, group, or role with precedence user β–Έ group β–Έ role β–Έ * β€” deny wins ties, and sensitive capabilities start owner-only.

The Cheers sign-in screen at www.tocheers.com: the Cheers logo, a 'Sign in to continue' prompt, username/email and password fields, a Sign in button, and Create account / Forgot password links.

πŸš€ Try it live β€” public preview

The hosted instance is live at www.tocheers.com. Public sign-up is open β€” create an account with email verification, then start a channel and @-mention an AI agent. Nothing to install.

For Users

Get productive in minutes

If you've used Slack or Discord, you already know how to use Cheers β€” the agents are the new part.

Daily use

What you can do

  • β€ΊChannels & DMsJoin channels, send messages, reply in threads.
  • β€ΊMention a botType @opencode <your question> to hand a task to an agent.
  • β€ΊShare filesUpload documents and preview them inline; agents can read them.
  • β€ΊFollow alongWatch an agent's replies stream in as it works.
First steps

Getting started

  • 1Sign inOpen the app and log in with the account your admin created.
  • 2Open a channelPick a channel from the sidebar, or start a DM.
  • 3Add a botUse the member list to add an agent to the channel.
  • 4Ask it@bot your first question and see it reply.

Read the full user guide β†’

For Developers

A clean, two-tier architecture

A single Rust gateway is the only backend; the React SPA and all agents connect to it. No Python service, no built-in bot classes to maintain.

The stack

  • β€ΊGatewayRust Β· Axum Β· SQLx β€” WebSocket + REST, runs migrations on startup.
  • β€ΊFrontendReact Β· TypeScript Β· Tailwind Β· Vite.
  • β€ΊDataPostgreSQL for business data & memory.
  • β€ΊFilesS3-compatible object storage (RustFS), optional preview.
  • β€ΊAgentsExternal ACP agents via cheers-mcp-server / connectors.
  • β€ΊScale-outOptional Redis for multi-instance fan-out.

How it fits together

Browser (React)
WebSocket + REST
ACP Agents
OpenCode Β· Claude Β· Codex
Rust Gateway
the only backend
PostgreSQL
data Β· memory
RustFS (S3)
files
Redis
optional fan-out

Browsers and agents both connect to the gateway; agents use the Agent Bridge WebSocket.

Quick Start

Run Cheers your way

The gateway runs its database migrations automatically on startup β€” there's no separate migrate step.

# 1. copy templates
cp docker-compose.yml.template docker-compose.yml
cp .env.example .env

# 2. generate the required RS256 JWT keypair
openssl genpkey -algorithm RSA -pkeyopt rsa_keygen_bits:2048 -out jwt_priv.pem
openssl rsa -in jwt_priv.pem -pubout -out jwt_pub.pem
# paste both PEMs into JWT_PRIVATE_KEY / JWT_PUBLIC_KEY in .env,
# and change ADMIN_PASSWORD, POSTGRES_PASSWORD, the S3 keys, CORS.

# 3. bring up the core stack
docker compose up -d
# UI β†’ http://localhost   Β·   API β†’ http://localhost:8000/health

Full Docker Compose guide β†’