qredence/agentic-fleet/init

System Initialization

This skill handles the initialization of the agent's memory system. It ensures that the necessary directory structures, configuration files, and core context templates are in place.

Usage

Run this command at the start of a new project or when you need to reset/repair the memory system structure.

uv run python .fleet/context/scripts/memory_manager.py init

Actions Performed

1. Hydrates Templates: Copies core/*.template.md to active core/*.md files if they don't exist.
2. Config Setup: Ensures .chroma/config.yaml exists (creating from template if needed).
3. Recall Scratchpad: Creates recall/current.md for the current session context.

Chroma Cloud Setup

After initialization, set up Chroma Cloud:

1. Edit config: Add your Chroma Cloud credentials to .fleet/context/.chroma/config.yaml:

``yaml cloud: tenant: "your-tenant" database: "your-database" api_key: "your-api-key" ``

1. Create collections: Run the setup command to create collections in Chroma Cloud:

``bash uv run python .fleet/context/scripts/memory_manager.py setup-chroma ``

1. Verify status: Check that everything is connected:

``bash uv run python .fleet/context/scripts/memory_manager.py status ``

Collections Created

Environment Variables (Optional)

Instead of config file, you can use environment variables:

• CHROMA_API_KEY - Your Chroma Cloud API key
• CHROMA_TENANT - Your tenant name
• CHROMA_DATABASE - Your database name