creo-memories

To persist context across sessions, you need a memory architecture that unifies local canon writes with cloud traces. This approach enables cross-session continuity and supports multi-agent collaboration through structured memory state management.

Organizing memory lifecycle requires a structured mental model covering memories, atlas, views, and actions. This four-scene framework supports knowledge organization and actionable workflows, ensuring context remains searchable and structured across different operational stages.

Semantic search over persistent memory traces operates by querying a unified layer of local canon and cloud records. This mechanism retrieves relevant historical context and provenance graphs, enabling accurate information discovery across sessions.

Yes, MCP tooling supports integrated decision recording in ADR style, onboarding, and cycle-close workflows. These tools leverage wedge-documented processes to facilitate collaboration and structured process management within the memory ecosystem.

A two-layer architecture improves multi-agent collaboration by separating deterministic local canon writes from dynamic cloud traces. This division provides reliable state persistence while allowing agents to share and access evolving context dynamically.

You need automatic context delivery when your workflows demand continuous self-improvement and seamless cross-session continuity. A four-cadence loop enhances the ecosystem by injecting persistent context automatically at session start.