Can I track multiple projects at once?

Yes, Atlas supports tracking multiple independent projects simultaneously, each with its own bootstrap configuration and persistent memory state.

What is the primary purpose of the Atlas Project skill?

The skill creates a persistent memory foundation for projects, allowing AI agents to retain context, structural knowledge, and project goals across different sessions and restarts.

Does this skill require any external services?

Yes, it requires the Atlas daemon to be running locally to handle knowledge ingestion and vector storage management.

How does the auto-ingestion feature work?

Once a project is bootstrapped, the skill starts a background process that monitors your directory for changes and automatically updates the Atlas knowledge graph in real-time.

What information is included in the bootstrap file?

It generates a navigational snapshot including project identity, main entry points, directory maps, build/test commands, and the technical stack.

Atlas Project Bootstrap

Name: Atlas Project Bootstrap
Author: inherent-design

byinherent-design

Productivity & Workflow

Bootstraps persistent project memory for AI agents by analyzing directory structures and automating knowledge ingestion.

About

The Atlas Project Bootstrap skill automates the creation of a persistent memory foundation for any codebase, research area, or knowledge domain within the Atlas framework. By analyzing conversation context and directory structures, it generates a comprehensive navigational map and initiates continuous, file-watched ingestion. This ensures that Claude and its sub-agents maintain long-term awareness of project identity, entry points, and technical stacks, enabling seamless 'cold-start' recovery and deep architectural awareness across multiple work sessions.

Key Features

Persistent memory bootstrapping via Markdown navigation maps
Automated directory structure and tech stack analysis
Real-time file-watched ingestion for continuous knowledge updates
Context-aware project identity and entry point detection
Deep integration with Atlas multi-agent orchestration for cold-start recovery
0 GitHub stars

Use Cases

Managing complex research projects that span across multiple chat sessions
Starting a new development project that requires long-term AI context retention
Onboarding large codebases into the Atlas persistent memory framework

About

Key Features

Persistent memory bootstrapping via Markdown navigation maps
Automated directory structure and tech stack analysis
Real-time file-watched ingestion for continuous knowledge updates
Context-aware project identity and entry point detection
Deep integration with Atlas multi-agent orchestration for cold-start recovery
0 GitHub stars

Use Cases

Managing complex research projects that span across multiple chat sessions
Starting a new development project that requires long-term AI context retention
Onboarding large codebases into the Atlas persistent memory framework