Read, write, and query agent memory across in-process and persistent backend layers.
npx skills add https://github.com/Valynt/ValueOS --skill memory-query-valynt
Please help me install this Agent Skill. Skill: memory-query Source: https://github.com/Valynt/ValueOS/tree/main/.windsurf/skills/memory-query Command: npx skills add https://github.com/Valynt/ValueOS --skill memory-query-valynt
This Memory Query skill enables agents to read, write, and search across in-process MemorySystem and persistent memory in packages/memory, ensuring tenant isolation and cross-session recall.
Retrieve prior hypotheses from memory and store a new semantic memory entry for downstream agents.
High-intent search queries and answers about installing and using this skill.
Cross-session memory recall is managed through a persistent memory package that enables vector search and provenance tracking. It stores semantic and episodic memory entries so downstream agents can retrieve prior hypotheses and stakeholder data across backend layers.
In-process memory provides fast, deterministic read and write access inside a single execution, while persistent semantic memory stores data for long-term cross-session recall. Both operate under layered access with tenant isolation enforced across backend layers.
You query semantic memory through a layered access system that enforces tenant isolation across all backend operations. This restricts memory data to authorized tenants during cross-session read, write, and vector search operations.
No, cross-session vector memory data remains backend-only to protect data integrity. Frontend restrictions are explicitly enforced to prevent direct access, ensuring all memory queries route securely through backend layers.
The best way to search prior hypotheses is using the persistent memory package's vector search and provenance capabilities. This allows you to retrieve semantic memory entries stored by downstream agents across multiple sessions.
Yes, this approach manages semantic and episodic memory across backend layers using a layered access design. It handles read, write, and query operations while enforcing tenant isolation for secure cross-session recall.
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