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@jive-ai/cli

v0.0.47

Published

The official CLI for Jive AI - autonomous development workflows powered by Claude.

Readme

Jive CLI

The official CLI for Jive AI - autonomous development workflows powered by Claude.

Installation

npm

npm install -g @jive-ai/cli

Docker

docker pull jiveai/task:latest

Configuration

Environment Variables

The CLI can be configured using environment variables:

  • JIVE_TASK_IDLE_TIMEOUT - Minutes of idle time before a task automatically terminates (default: 5). Tasks are ephemeral and will gracefully shutdown after this period of inactivity, freeing up runner capacity. Session data is preserved for resume.

    • Development: JIVE_TASK_IDLE_TIMEOUT=10 (10 minutes - more forgiving)
    • Production: JIVE_TASK_IDLE_TIMEOUT=5 (5 minutes - default)
    • CI/CD: JIVE_TASK_IDLE_TIMEOUT=30 (30 minutes - long builds)
  • JIVE_API_KEY - Your Jive API authentication key (required for task runners)

  • JIVE_TEAM_ID - The team ID to run tasks for (required for task runners)

  • JIVE_API_URL - API endpoint (defaults to production)

  • JIVE_WS_URL - WebSocket endpoint (defaults to production)

  • JIVE_LOG_FILE - MCP server log path (defaults to /tmp/jive-mcp.log)

Docker Image

The docker image is used for each task process container. Whenever you spin up a new task in Jive, it will start a new container with this image. You can specify your own custom image in the project settings as long as the same entrypoint script is provided. The task runner relies on it.

Building Your Own Images

You can extend the Jive task runner image to add custom tools or dependencies:

FROM jiveai/task:latest

# Add your custom dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3 \
    python3-pip \
    && rm -rf /var/lib/apt/lists/*

# Install additional tools
RUN pip install --break-system-packages black ruff

Note: The base image is Debian-based (bookworm-slim), so use apt-get for package management.

Publishing the Docker Image (Maintainers)

One-Time Setup

  1. Login to Docker Hub:

    docker login
  2. Create a buildx builder for multi-platform builds:

    docker buildx create --name mybuilder --use
    docker buildx inspect --bootstrap

Publishing a New Version

After publishing a new version to npm, publish the corresponding Docker image:

cd cli
npm run docker:publish

This will:

  • Build for both linux/amd64 and linux/arm64 platforms
  • Tag with both latest and the current package version (e.g., 0.0.31)
  • Push both tags to Docker Hub

The image pulls the CLI from npm (using the @jive-ai/cli package), so make sure you've published to npm first.

Manual Steps

If you need more control:

# Build only (no push)
npm run docker:build:public

# Push to Docker Hub
npm run docker:push

Development

Local Development with Docker

To test the Docker image with your local code changes:

npm run docker:build:local

This builds an image using the local CLI tarball instead of pulling from npm.