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RAPID Overview

RAPID is an orchestration layer for AI-assisted development. It manages the complexity of running AI coding tools, providing magic defaults that work out of the box.

AI coding assistants are powerful but require significant setup:

  1. Environment Consistency — AI tools need consistent environments to work reliably
  2. Context Preparation — Agents perform better with proper documentation and project context
  3. Secret Management — API keys must be injected securely, not committed to repos
  4. Container Isolation — Running AI agents in containers provides security boundaries
  5. Tool Fragmentation — Each AI tool (Claude, OpenCode, Aider) has different setup requirements
  6. Multi-Agent Coordination — Running multiple AI agents requires manual orchestration

Setting this up for each project is tedious, error-prone, and often results in inconsistent experiences.

RAPID provides a zero-config experience with smart defaults:

Terminal window
rapid init # Interactive setup with sane defaults
rapid dev # Everything starts automatically

That’s it. No manual configuration, no service management, no authentication prompts.

  1. Interactively configures your project with smart defaults
  2. Sets up MCP servers (context7, tavily, and the RAPID MCP server)
  3. Configures secrets management (1Password, Vault, or env vars)
  4. Generates instruction files (CLAUDE.md, AGENTS.md)
  5. Creates devcontainer configuration if desired
  1. Auto-starts services — Event bus, RAPID MCP server, containers
  2. Auth passthrough — Uses your existing Claude/OpenAI credentials
  3. Launches your AI agent — With full MCP tool access
  4. Enables multi-agent features — Agents can communicate via the event bus
  1. Gracefully exits AI CLI sessions
  2. Stops dev container and services
  3. Cleans up temporary resources

Everything works out of the box:

  • Event bus enabled by default — agents can communicate immediately
  • Auth passthrough — use your existing Claude/OpenAI credentials
  • RAPID MCP server — always available for agent coordination
  • YOLO mode — skip permission prompts in isolated environments

RAPID wraps existing AI coding tools rather than building another one. Claude Code, OpenCode, and Aider are excellent tools — RAPID makes them easier to use consistently.

Everything is defined in rapid.json:

  • Which AI agents are available
  • How secrets are loaded
  • What context files to include
  • Container and MCP server configuration
  • Secrets never stored in plaintext
  • Containers provide isolation
  • API keys injected at runtime only
  • Sandboxed command execution available

Run multiple AI tools that work together:

  • Event bus — agents communicate in real-time via Redis
  • Shared context — all agents see the same project state
  • Task delegation — agents can request help from each other
  • Presence tracking — know which agents are active

Beyond tooling, RAPID embodies a methodology for effective AI-assisted development:

Before engaging AI, gather context:

  • Read existing documentation
  • Understand codebase structure
  • Identify patterns and conventions
  • Review related implementations

Enhance gathered context with external knowledge:

  • API documentation
  • Framework references
  • Design patterns
  • MCP server integrations

Structure work before execution:

  • Break complex tasks into steps
  • Define acceptance criteria
  • Identify dependencies
  • Create todo lists

Ensure environment is ready:

  • Start dev containers
  • Load secrets
  • Verify tooling
  • Setup services

Execute with AI assistance:

  • Generate code
  • Test implementations
  • Iterate on feedback
  • Review and refine

RAPID automatically detects your existing AI tool credentials:

  • Claude Code — Uses ~/.claude.json OAuth tokens
  • OpenAI — Uses ~/.openai or environment variables
  • Anthropic API — Uses ~/.anthropic configuration

No need to configure API keys if you’re already logged in. See Auth Passthrough for details.

Multiple agents can communicate in real-time:

Claude: "I've designed the auth module"
→ sends task_complete to event bus
OpenCode: Sees notification, picks up implementation
→ sends review_request when done

The event bus uses Redis (auto-managed) and is enabled by default. See Event Bus for details.

A centralized MCP server provides all agents with shared tools:

ToolDescription
bus_registerRegister with the event bus
bus_sendSend messages to other agents
bus_messagesRetrieve messages
bus_agentsList connected agents
secure_execExecute sandboxed commands
get_secretAccess secrets securely

The server runs centrally so all agents share state. See MCP Servers for details.

In isolated environments (containers, VMs), agents can skip permission prompts:

{
"agents": {
"available": {
"claude": { "yolo": true }
}
}
}

This dramatically speeds up development cycles. See Agent Configuration for details.

TaskManualWith RAPID
Initial setupWrite configs, install toolsrapid init
Start everythingMultiple commands, manual orderrapid dev
AuthenticationConfigure API keys everywhereAuth passthrough
Load secretsExport vars, source .env, etc.Automatic
Generate context filesWrite AGENTS.md manuallyAuto-generated
Multi-agent commsBuild your own message systemEvent bus included
Switch AI toolsExit, configure, restartrapid dev --agent
Run multiple agentsManual tmux setuprapid dev --multi

Good fit:

  • Teams wanting consistent AI-assisted workflows
  • Projects requiring secure secret management
  • Developers using multiple AI tools
  • Multi-agent workflows requiring coordination
  • Organizations with container-based development

Not necessary:

  • Single-file scripts or quick experiments
  • Projects not using containers or isolation
  • When using only one AI tool without secrets