aicrate 0.2.0

Python tool for setting up isolated AI environments

aicrate - containerize your AI agents

aicrate is a Python CLI tool that packages and orchestrates AI agents, skills, and MCP (Model Context Protocol) servers as OCI artifacts in isolated container environments. It enables you to build reproducible, shareable AI workspaces by bundling these artifacts and tools into unified pods.

Prerequisites

• python 3.9+
• podman
• gits

Installation

pip install aicrate

Basic Usage

# Run a containerized AI agent with the current directory as workspace
# and no additional skills or agents
$ aicrate run

# ...use a different workspace, and skills and agents as defined in the config
$ aicrate run --workspace ~/myproject --config ./examples/aicrate.yml

After running aicrate run, the user is automatically dropped into the /workspace.

Configuration

Define your AI environment in a YAML configuration file:

aicrate:
  image: quay.io/rhivos-ai-tools/aicrate:latest
  workspace: ~/
skills:
  - quay.io/aicrate/anthropic/claude-api:latest
  - quay.io/aicrate/anthropic/pdf:latest
  - quay.io/aicrate/obra/test-driven-development:latest
agents:
  - quay.io/aicrate/agency/engineering-code-reviewer:latest
mcp:
  - image: quay.io/aicrate/mcp-testing-farm-mcp:latest
    port: 8081
    env:
      - MCP_TRANSPORT: sse
      - MCP_PORT: 8081

See examples/aicrate.yml for a complete configuration with 30+ skills and agents.

See aicrate on quay.io for pre-built and ready to pull artifacts.

Similar projects

• LobsterTrap/puzzlepod \ PuzzlePod and aicrate leverage Podman and systemd and run the agents inside a container. However, while PuzzlePod adds a governance layer on top (e.g. automated commit/rollback decisions), aicrate leverages OCI artifacts to manage skills and agents in OCI registries.
• NVIDIA/OpenShell
  OpenShell provides a safe, private runtime for autonomous AI agents. Its goal are multi-tenant enterprise deployments while aicrate is intended for local usage by a single developer.