freshcrate
Home > MCP Servers > tiger_cowork

tiger_cowork

A self-hosted AI workspace unifying chat, code execution, parallel multi-agent orchestration, and project management. Each agent runs on a distinct provider — OpenAI-compatible APIs, Claude Code, or C

Description

A self-hosted AI workspace unifying chat, code execution, parallel multi-agent orchestration, and project management. Each agent runs on a distinct provider — OpenAI-compatible APIs, Claude Code, or Codex CLI. MCP servers extend the toolbox. Built for 100+ tool-call sessions with context compression and checkpoint recovery.

README

Tiger CoWork Banner

Tiger CoWork v0.6.0

A self-hosted AI workspace with chat, code execution, parallel multi-agent orchestration, cross-machine agent connection, and a skill marketplace. Mix different AI providers in the same agent team — OpenAI-compatible APIs, Claude Code CLI, and Codex CLI. Connect agents across machines on your network so distributed teams can collaborate in real time. Connect external MCP servers to extend the AI's toolbox. Built with 16 built-in tools and designed for long-running sessions with smart context compression and checkpoint recovery.

What's New in v0.6.0

  • Per-Project Agent Mode Override — each project can override the global sub-agent mode (Auto Spawn, Auto Create, Manual, Realtime, Auto Swarm) and pick its own YAML config, architecture type, agent count, and connection protocols. The active override is shown as a clickable purple tag in the project header and chat banner.
  • Auto Architecture — AI-Decided Settings — new "Auto (AI decides)" option for architecture type and agent count (3–8 default). Connection protocols are now multi-select toggle buttons instead of a single dropdown.
  • Full Chat Log with Agent Reasoning — every chat session now records a complete log file capturing user messages, tool calls (with arguments), sub-agent reasoning text, and final responses. New Log button next to Activity opens a live-updating panel; new Export button downloads the log as .txt.
  • Finished Tasks History — Tasks page now shows the last 100 completed/cancelled/errored tasks with status, duration, agents used, and tools called. Open Chat button on each finished task jumps directly to that session.
  • Project List Sorting — sort projects by A–Z or Recent (most recently updated). Sort preference persists across reloads.
  • Sub-Agent Reasoning in Chat Log — orchestrators and worker agents stream their intermediate thinking text to the chat log between tool calls, giving full visibility into the decision-making chain.
  • AsyncLocalStorage Settings Override — project agent overrides now propagate correctly through every async call in the backend, ensuring getSettings() returns the project-scoped configuration throughout the entire chat lifecycle.

Warning: This app executes AI-generated code and shell commands. Run it inside Docker or a sandboxed environment. See Security & Docker Setup.

Screenshots

Tiger CoWork — AI chat with output panel

AI Chat with tool-calling — generates React/Recharts visualizations rendered in the output panel.

Tiger CoWork — Agent System Editor

Visual Agent Editor — drag-and-drop multi-agent design with mesh networking and YAML export.

Tiger CoWork — Minecraft Task Monitor

Minecraft Task Monitor — live pixel-art agents with speech bubbles, walking animations, and inter-agent interactions.

Key Features

  • AI Chat with 16 Built-in Tools — web search, Python, React, shell, files, skills, sub-agents
  • Mix Any Model per Agent — assign different AI providers per agent (API, Claude Code CLI, Codex CLI)
  • Parallel Multi-Agent System — 7 orchestration topologies, 4 communication protocols, P2P swarm governance
  • Cross-Machine Agent Connection — connect agents running on different machines over the network, enabling distributed multi-agent collaboration across your infrastructure
  • Minecraft Task Monitor — live pixel-art characters (Steve, Creeper, Enderman, etc.) with speech bubbles showing agent activity, walking animations when agents interact
  • Long-Running Session Stability — sliding window compression, smart tool result handling, checkpoint recovery
  • MCP Integration — connect any Model Context Protocol server (Stdio, SSE, StreamableHTTP)
  • Output Panel — renders React components, charts, HTML, PDF, Word, Excel, images, and Markdown
  • Skills & ClawHub — install AI skills from the marketplace or build your own
  • Projects — dedicated workspaces with memory, skill selection, and file browser

Installation

One-Click Installers

Mac:

  1. Download TigerCoWork.zip
  2. Unzip, right-click TigerCoWork.app and select Open

Windows:

  1. Download TigerCoWorkInstaller.zip
  2. Unzip and run TigerCoWorkInstaller.bat

Prerequisite: Docker Desktop must be installed and running.

Mac Windows
Start Double-click TigerCoWork.app Double-click TigerCoWorkStart.bat
Stop Docker Desktop → Containers → Stop Double-click TigerCoWorkStop.bat

Terminal Install

Mac/Linux:

curl -fsSL https://raw.githubusercontent.com/Sompote/tiger_cowork/main/install.sh | bash

Windows (PowerShell):

irm https://raw.githubusercontent.com/Sompote/tiger_cowork/main/install.ps1 | iex

Manual Install

Log in to your Linux server directly or via SSH:

ssh root@<your-server-ip>

⚠️ Security Warning: AI agents can execute arbitrary code and shell commands that may modify or delete files on the host system. It is strongly recommended to run Tiger CoWork on a VPS or dedicated machine that contains no important data. Do not run it on a machine with sensitive or irreplaceable information.

Prerequisites: Node.js >= 18, npm, Python 3 (optional)

git clone https://github.com/Sompote/tiger_cowork.git
cd tiger_cowork
bash setup.sh        # installs deps, prompts for ClawHub token
npm run build && npm start   # → http://localhost:3001

Running in background (recommended): Use PM2 to keep Tiger CoWork running after you close the terminal.

npm install -g pm2          # install PM2 globally
npm run build               # build production bundle
pm2 start npm --name "tiger-cowork" -- start   # start in background
pm2 save                    # save process list for auto-restart
pm2 startup                 # enable auto-start on system boot

Useful PM2 commands:

pm2 status                  # check running processes
pm2 logs tiger-cowork       # view logs
pm2 restart tiger-cowork    # restart
pm2 stop tiger-cowork       # stop

First-time token: The default token is your-secret-token-here in the UI. Please change it later in .env for your security.

Quick Start

  1. Open http://localhost:3001
  2. Go to Settings → enter your API Key, API URL, and Model
  3. Click Test Connection to verify
  4. Start chatting — the AI can search the web, run code, generate charts, and more

Documentation

Document Description
Technical Documentation Architecture, agent system, communication protocols, orchestration topologies, MCP setup, CLI agents, API endpoints, configuration
Changelog Full version history and release notes

License

This project is licensed under the MIT License.

Release History

VersionChangesUrgencyDate
v0.6.0## What's New in v0.6.0 ### Per-Project Agent Mode Override Each project can now override the global sub-agent mode (Auto Spawn, Auto Create, Manual, Realtime, Auto Swarm) and pick its own YAML config, architecture type, agent count, and connection protocols. The active override is shown as a clickable purple tag in the project header and chat banner. Backed by AsyncLocalStorage so the override propagates through every backend `getSettings()` call. ### Auto Architecture — AI-Decided Settings -High4/10/2026

Dependencies & License Audit

Loading dependencies...

Similar Packages

spaceship-mcp🚀 Manage domains, DNS, contacts, and listings with spaceship-mcp, a community-built MCP server for the Spaceship API.main@2026-04-21
website-design-systems-mcp🎨 Extract complete design systems from websites and generate AI-ready skill.md files to replicate exact design elements efficiently.main@2026-04-21
MCP-X-web🤖 Develop enterprise AI agents with integrated tools for chat, video, image editing, and secure multi-tenant workflows.main@2026-04-21
dev-workflows⚙️ Define and compile AI coding rules, commands, and templates into workflows that work across multiple editors and agents.main@2026-04-21
awesome-agent-skills-mcp🔧 Enhance agent skills with the Awesome Agent Skills MCP Server, providing powerful tools for managing and optimizing agent functionality.main@2026-04-21