What problem does it solve?
This Skill solves the common issue of AI agents losing persistent context between sessions and across different runtimes, where corrections, learned information, and task state are lost after restarts or when switching tools, and avoids the limitations of opaque hosted memory solutions that lack local control and auditability.
Core Features & Use Cases
- Cited Memory Recall: Retrieve provenance-tagged context from personal and shared local memory stores with no hosted dependencies.
- Governed Memory Learning: Stage durable memory candidates that pass an approval gate for transparent, auditable storage.
- Cross-Agent Handoff: Transfer context and task state between different AI runtimes with explicit lease controls.
- Use Case: When resuming a multi-session coding project, use this Skill to automatically recall prior corrections and design decisions made in previous sessions, eliminating the need to re-explain context to the agent.
Quick Start
Ask Gemini to recall all relevant prior context for your current project task to automatically pull cited stored memories into the conversation.