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CopilotKit <> CrewAI Flow Starter

examples/integrations/crewai-flows/README.md

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CopilotKit <> CrewAI Flow Starter

This is a starter template for building AI agents using CrewAI Flows and CopilotKit. It provides a modern Next.js application with an integrated CrewAI Flow agent to be built on top of.

Prerequisites

  • Node.js 18+
  • Python 3.10+
  • uv - Fast Python package installer and resolver
  • Any of the following package managers:
  • OpenAI API Key (for the CrewAI Flow agent)

Getting Started

  1. Install dependencies using your preferred package manager:
bash
# Using npm (default)
npm install

# Using pnpm
pnpm install

# Using yarn
yarn install

# Using bun
bun install

Note: Installing the package dependencies will also install the agent's Python dependencies via the install:agent script using uv. This will automatically create a virtual environment and install dependencies from pyproject.toml.

  1. Set up your OpenAI API key:
bash
echo "OPENAI_API_KEY=your-openai-api-key-here" > .env
  1. Start the development server:
bash
# Using npm (default)
npm run dev

# Using pnpm
pnpm dev

# Using yarn
yarn dev

# Using bun
bun run dev

This will start both the UI and agent servers concurrently.

Running a Channel

channel-host.mts mounts the same agent as an Intelligence Channel (Slack, Teams). It requires INTELLIGENCE_API_KEY and a declared Channel in .copilotkit/channels.json — set both up with copilotkit init or copilotkit channels add, which write that file and the credentials your .env needs, then:

bash
npm run channel

The host reads which Channel to hold from .copilotkit/channels.json. If a project declares more than one, set INTELLIGENCE_CHANNEL_NAME to pick one.

The host holds no provider credentials and exposes no provider endpoint — Intelligence owns the provider edge — so the same file works for every provider.

The Channel itself is declared in channels.mts — that is where to add commands, reactions, or an onMention handler. channel-host.mts only owns the process lifetime, and is byte-identical in every starter.

Once startup finishes, the log reports the truth per Channel:

  • Channel "<name>" is online. — the session is up and can send.
  • Channel "<name>" is declared but no provider is attached yet. — a normal waiting state, not a failure. Run copilotkit channels status to see what setup remains.

Neither message proves the provider app is installed, reachable, or that anyone can message it — verify that separately (invite the bot, then message it) before treating the Channel as working.

Available Scripts

The following scripts can also be run using your preferred package manager:

  • dev - Starts both UI and agent servers in development mode
  • dev:ui - Starts only the Next.js UI server
  • dev:agent - Starts only the CrewAI Flow agent server
  • build - Builds the Next.js application for production
  • start - Starts the production server
  • install:agent - Installs Python dependencies for the agent using uv
  • channel - Holds an Intelligence Channel open (see "Running a Channel" above)
  • typecheck:channel - Type-checks the channel host on its own tsconfig.channel.json

Documentation

The main UI component is in src/app/page.tsx. You can:

  • Modify the theme colors and styling
  • Add new frontend actions
  • Utilize shared-state
  • Customize your user-interface for interacting with CrewAI Flow

📚 Documentation

Contributing

Feel free to submit issues and enhancement requests! This starter is designed to be easily extensible.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Troubleshooting

Agent Connection Issues

If you see "I'm having trouble connecting to my tools", make sure:

  1. The CrewAI Flow agent is running on port 8000
  2. Your OpenAI API key is set correctly
  3. Both servers started successfully