Turbo Flow
Advanced Agentic Development Environment Supporting Devpods, Rackspace Spot Instances, Github Codespaces, Google Cloud Shell, and more! Features 600+ AI subagents, Claude Flow, SPARC methodology, and automatic context loading! Deploy intelligent mult
What is Turbo Flow?
Turbo Flow is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to advanced agentic development environment supporting devpods, rackspace spot instances, github codespaces, google cloud shell, and more! features 600+ ai subagents, claude flow, sparc methodology, and ...
Advanced Agentic Development Environment Supporting Devpods, Rackspace Spot Instances, Github Codespaces, Google Cloud Shell, and more! Features 600+ AI subagents, Claude Flow, SPARC methodology, and automatic context loading! Deploy intelligent mult
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Advanced Agentic Development Environment Supporting Devpods,
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx turbo-flowConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Turbo Flow
Turbo Flow is an advanced agentic development environment (v4.0) that runs in cloud development environments including DevPods, Rackspace Spot Instances, GitHub Codespaces, and Google Cloud Shell. It ships with the Ruflo v3.5 orchestration framework (60+ agents, 215+ MCP tools, 36+ auto-activated skills), multiple memory systems (Beads cross-session JSONL, AgentDB with WASM vector search), Git Worktree-based agent isolation, the GitNexus knowledge graph, and plugin packages for agentic QA, code intelligence, and test generation. It is designed for teams running large-scale multi-agent Claude Code workflows with automatic context loading and the SPARC methodology.
Prerequisites
- DevPod CLI installed (macOS: brew install loft-sh/devpod/devpod, Windows: choco install devpod) OR a supported cloud shell environment
- Claude Code CLI installed and authenticated (claude --version to verify)
- Git and Docker available in your development environment
- CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 environment variable set for multi-agent features
Install via DevPod (recommended)
Use DevPod to launch the Turbo Flow environment in VS Code. This is the fastest path and handles all dependencies automatically.
devpod up https://github.com/adventurewavelabs/turbo-flow --ide vscodeAlternative: manual installation from source
Clone the repository and run the setup script to install all components manually. Source your shell config afterward to activate new commands.
git clone https://github.com/marcuspat/turbo-flow -b main
cd turbo-flow
chmod +x devpods/setup.sh
./devpods/setup.sh
source ~/.bashrcVerify the installation
Run the turbo-status command to verify all components are installed correctly. The post-setup script runs 13 validation checks.
turbo-status
# Optional: run the full post-setup validation
./devpods/post-setup.shEnable agent teams and initialize project memory
Set the agent teams environment variable, then initialize the Beads memory system in your project repository to enable cross-session state tracking.
export CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1
bd initBuild the codebase knowledge graph (optional)
Run GitNexus to analyze your codebase and build a dependency knowledge graph used by the orchestration system for blast-radius detection and context loading.
npx gitnexus analyzeTurbo Flow Examples
Client configuration
MCP configuration for using Turbo Flow's GitNexus MCP server within Claude Code or another MCP client.
{
"mcpServers": {
"gitnexus": {
"command": "npx",
"args": ["gitnexus", "serve"]
}
}
}Prompts to try
Example shell commands and prompts for using Turbo Flow's orchestration, memory, and agent isolation features.
- Run 'rf-wizard' to interactively configure Ruflo orchestration for your project
- Run 'rf-swarm' to launch a hierarchical agent swarm (up to 8 agents in parallel)
- Run 'mem-search "authentication"' to query project memory for auth-related decisions
- Run 'aqe-generate' to trigger the agentic QE plugin to generate tests for changed code
- Run 'wt-add feature-login' to create an isolated Git Worktree for an agent to work in
- Ask Claude: 'Use Turbo Flow to spawn a coder agent to refactor the payment module'Troubleshooting Turbo Flow
turbo-status shows missing components after setup
Run 'source ~/.bashrc' (or ~/.zshrc for zsh) to reload the shell environment, then re-run turbo-status. The setup script adds PATH entries and aliases that require a shell reload to take effect.
rf-swarm or agent teams fail with 'feature not enabled' error
Set the environment variable 'export CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1' in your shell before running Claude Code. Add it to your ~/.bashrc or ~/.zshrc to persist it across sessions.
DevPod fails to start the Turbo Flow environment
Verify Docker Desktop is running and the DevPod CLI can connect to the Docker provider with 'devpod provider list'. Check DevPod logs with 'devpod logs' for the specific container error. Ensure you have at least 8GB RAM available for the full environment.
Frequently Asked Questions about Turbo Flow
What is Turbo Flow?
Turbo Flow is a Model Context Protocol (MCP) server that advanced agentic development environment supporting devpods, rackspace spot instances, github codespaces, google cloud shell, and more! features 600+ ai subagents, claude flow, sparc methodology, and automatic context loading! deploy intelligent mult It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Turbo Flow?
Follow the installation instructions on the Turbo Flow GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Turbo Flow?
Turbo Flow works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Turbo Flow free to use?
Yes, Turbo Flow is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Turbo Flow Alternatives — Similar Coding Agents Servers
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Goose
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Quick Config Preview
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