Context Management System

Overview

This context document establishes a rigorous set of guidelines for managing and operating multiple, specialized AI agents within a single project environment. Its primary function is to enforce strict boundaries, ensuring that each agent team operates within clearly defined scopes to prevent context bleed and maintain separation of concerns.

Capabilities

• Directory-Based Team Organization: Structures the entire knowledge base by grouping related contexts into distinct directories, representing functional teams.
• Scope Enforcement: Imposes a fundamental rule requiring agents to limit their work to a single, non-recursive directory unless explicitly authorized for cross-team operations.
• Operational Constraint Adherence: Dictates strict rules regarding execution (doing only what is asked), file management (preferring edits over creations), and documentation generation.

Example Use Cases

• Preventing Scope Creep: When multiple agents are working on different modules, this context ensures Agent A cannot accidentally modify the files or logic intended for Agent B's module.
• Maintaining Audit Trails: By forcing explicit requests for file creation or documentation, it creates a traceable record of necessary actions versus speculative ones.
• Onboarding New Teams: Provides an immediate, comprehensive set of rules for new agent teams to adopt, ensuring they understand the project's architectural constraints from day one.