Context

This inquiry explores the architectural role of intent and context layers in multi-agent autonomous systems (MAAS). It synthesizes academic research across distributed systems, cognitive science, control theory, and software engineering with practitioner requirements from eight specialized roles.

Desired State

A synthesized understanding of how intent layers formalize agent goals and delegation semantics, while context layers manage shared memory and observability, enabling coherent and decentralized agent coordination.

Action Steps

1. Navigate to Perplexity search 3857e496-7f5c-4809-9fb2-f133d1adbbe0.
2. Export the conversation and deep research report as Markdown.
3. Organize artifacts into the specific project folder.
4. Generate AGENTS.md summarizing academic foundations and practitioner roles.
5. Commit all artifacts to the repository.

Structural Tension

The tension lies between the complex, multi-disciplinary academic foundations of MAAS and the practical need for actionable tools and frameworks for technical practitioners. Resolving this tension requires a bridge between high-level theory and open-source implementation.

Related

• /a/src/IAIP/prototypes/artefacts/article--intent-and-context-layer-in-Multi-Agent-Autonomous-System--2605190214--3857e496-7f5c-4809-9fb2-f133d1adbbe0/00-conversation-perplexity.md
• /a/src/IAIP/prototypes/artefacts/article--intent-and-context-layer-in-Multi-Agent-Autonomous-System--2605190214--3857e496-7f5c-4809-9fb2-f133d1adbbe0/AGENTS.md