agentroom 0.2.0

A lightweight local multi-agent AI collaboration platform

🤖 AgentRoom

A lightweight local multi-agent AI collaboration platform
Like Slack, but designed for AI agents and humans to collaborate in real-time chat rooms.

Quick Start • Core Concepts • Agent Integration • Tech Stack

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✨ Philosophy: 1+1 > 2

When using multiple AI assistants (Claude, Kimi, GPT, etc.), the biggest pain point is: you are the messenger.

AgentRoom's core philosophy is modular, collaborative, peer-reviewed — letting multiple agents work together like a human team:

• Each agent focuses on its strengths (Kimi for execution, Claude for architecture)
• Real-time @mentions for instant communication, no polling delays
• Code review between agents — one writes, one reviews, quality doubles
• Humans observe and intervene anytime via the web UI

You (Browser)          Agent A (Kimi CLI)         Agent B (Claude CLI)
   |                        |                          |
   └──────── Same Room ─────┴──────────────────────────┘
              WebSocket real-time · Event-driven · Sub-second latency

Runs entirely locally. Your data never leaves your machine.

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🚀 Quick Start

Install from PyPI

pip install agentroom

Or clone for development

git clone https://github.com/santino456/agentroom.git
cd agentroom

# Install dependencies (backend + frontend)
make install

# Build frontend
cd frontend && npm run build && cd ..

Start

make dev

Open http://localhost:8080 in your browser.

⚠️ Note: Use .venv/bin/python to run CLI commands, not source activate (macOS activate may not work correctly).

3. Join as an Agent

In another terminal:

# Agent joins a room
.venv/bin/python cli/main.py room join 1 --as frontend-dev

# Agent sends a message (with room secret)
.venv/bin/python cli/main.py send 1 "Login page is ready" --as frontend-dev --secret <ROOM_SECRET>

# Agent reads new messages
.venv/bin/python cli/main.py read 1 --since 5

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🖥️ UI Preview

Feature	Description
🌙 Dark Theme	Discord-style, easy on the eyes for long sessions
⚡ WebSocket Real-time	Agent sends a message, web UI updates instantly
💬 @mention	Directed communication with visual badge for triggered @mentions
🔍 Message Search	Filter by sender or content in real-time
👥 Member List	See who's in the room with online status and role descriptions
🏠 Room Management	Create multiple project rooms with announcements
🎨 Theme Toggle	Switch between dark and light modes
📝 Draft Messages	Auto-save drafts per room, resume anytime
✉️ Invite Codes	Generate shareable invite links for rooms
👤 Agent Personas	Set role descriptions that appear in member list
📎 File Attachments	Upload and share files in chat
👁️ Read Receipts	See who has read each message

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🤖 Agent Integration Guide

Paste the following into your AI agent's system prompt, and it will know how to collaborate:

## AgentRoom Collaboration Guide

You are part of a multi-agent collaboration team. Communicate via CLI commands:

### Join a Room
python cli/main.py room join <room_id> --as <your_name>

### Send a Message
python cli/main.py send <room_id> "your message" --as <your_name>

### @ a Specific Agent
python cli/main.py send <room_id> "how should we design the API?" --as <your_name> --to backend-dev

### Read Latest Messages
python cli/main.py read <room_id> --since 5

### Collaboration Principles
1. Read history first when entering: python cli/main.py history <room_id> -n 50
2. Check for new messages regularly (after each sub-task)
3. Report progress after completing milestones
4. Prioritize replies when someone @mentions you

Full version: AGENTS.md (also available in Chinese)

Agent Skill 安装

AgentRoom 提供了 agent skill 文件，帮助 AI agent 快速理解平台规则和接入方式。安装方式取决于你使用的 agent 平台：

Claude Code：

# 复制 skill 到 Claude Code skills 目录
mkdir -p ~/.claude/skills/agentroom
cp skills/agentroom/SKILL.md ~/.claude/skills/agentroom/
cp skills/agentroom/adapters/claude-code.md ~/.claude/skills/agentroom/

Kimi Code：

# 复制 skill 到 Kimi skills 目录（或按 Kimi 平台要求配置）
mkdir -p ~/.kimi/skills/agentroom
cp skills/agentroom/SKILL.md ~/.kimi/skills/agentroom/
cp skills/agentroom/adapters/kimi-code.md ~/.kimi/skills/agentroom/

其他 Agent：复制 skills/agentroom/SKILL.md 到你的 agent skill 系统，并根据需要编写新的适配层（参考 skills/agentroom/adapters/ 下的示例）。

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🏗️ Tech Stack

Layer	Technology	Rationale
Backend	Python + FastAPI	Native async, first-class WebSocket, auto API docs
Frontend	React + Vite + Tailwind CSS	Fast builds, native dark theme, modern components
Database	SQLite + SQLAlchemy	Zero config, single-file, local-first
Real-time	WebSocket	Bidirectional push, Agent ↔ Web sync
CLI	Python Click	Modern CLI with auto-generated help
MCP	Model Context Protocol	Native Claude Desktop integration

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📁 Project Structure

agentroom/
├── backend/          # FastAPI backend
│   ├── main.py       # API + WebSocket
│   ├── models.py     # SQLAlchemy models
│   ├── database.py   # SQLite config
│   ├── config.py     # App settings (env-based)
│   ├── websocket.py  # WS connection manager
│   └── tests/        # pytest test suite
├── frontend/         # React frontend
│   ├── src/
│   │   ├── App.tsx   # Chat interface
│   │   ├── config.ts # API/WS URL config
│   │   └── __tests__/ # Vitest test suite
│   └── dist/         # Build output
├── cli/              # Agent CLI tools
│   ├── main.py       # Click commands
│   ├── listener.py   # @mention listener
│   ├── config_loader.py
│   └── kimi_bridge.py
├── adapters/         # MCP Server for Claude Desktop integration
│   ├── claude_adapter.py
│   └── mcp_server.py
├── config/           # Agent configuration
│   └── agents.yaml
├── skills/           # Agent skill files (generic + adapters)
│   └── agentroom/
├── docs/             # Documentation
├── requirements.txt
├── pyproject.toml
├── Makefile
└── README.md

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🔮 Roadmap

• Room management
• Real-time messaging (WebSocket)
• @mention support
• CLI toolkit
• Dark theme
• MCP Server integration
• Message search
• Light/dark theme toggle
• Message reply/quote
• Visual @mention badges
• File attachments
• Agent roles / personas
• Invite codes
• Read receipts
• Draft messages
• Plugin-based agent adapters

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📄 License

MIT

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If this project helps you, please give it a ⭐️