architectural-forensics

To analyze AI agent frameworks, you orchestrate a multi-phase forensic analysis across data substrates, execution engines, and cognitive architectures. This process extracts reusable patterns to inform the design of new systems and generates a structured reference architecture.

The best way to compare multiple agent frameworks is through cross-framework synthesis. This identifies architectural best practices and anti-patterns across frameworks, producing structured reports and a reference design to bootstrap new agent systems.

You deconstruct an agent framework by coordinating targeted forensic sub-skills that separately analyze the cognitive architecture and execution engine. This structured workflow produces standardized outputs like codebase maps and detailed phase reports for each component.

Yes, architectural forensics generates standardized codebase maps as part of its structured workflow. These maps are produced during the analysis of data substrates and execution engines to visually represent the framework's internal design.

To start a multi-framework architectural analysis, you launch the orchestrator which coordinates framework agents. The process requires no external dependencies and automatically generates framework reports and synthesis outputs from the available source data.