Agent Memory Lifecycle Designer
by 香意國際
Design what an AI agent may remember, with write and retrieval rules, isolation, trust treatment, expiration, deletion, audit, and incident boundaries.
$19.99
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Works with the AI tools you already use
See it in action
You say
I need a memory lifecycle design for a customer support agent that remembers user preferences and past order issues across multiple sessions in a multi-tenant environment.
Your agent does
I have drafted the Memory Lifecycle Design.
Key Memory Classes:
- User Preferences (Scope: User, Write: Validation Required)
- Order History Summaries (Scope: Tenant, Write: Tool Output)
The design includes a write validation matrix and a 'quarantine' state for suspected poisoning.
What you get
About this skill
What it does
Turn a proposed memory-enabled agent use case into a memory class inventory, scope map, write policy, validation matrix, retrieval and use policy, retention and deletion lifecycle, audit event schema, and incident-readiness outline.
Best for
Agent builders, product managers, MCP teams, and operations owners who need to decide what should persist across sessions and how that state should be reviewed before implementation.
What makes it different
This is not a vector-database setup guide. It treats memory as a governed state store: user, tenant, session, agent, team, shared, and prohibited memory have different write, retrieval, trust, expiration, and deletion needs.
Known limitations
It does not configure databases, access real user records, make legal or compliance determinations, perform security testing, or guarantee safe storage or retrieval. Buyers must approve data categories, retention decisions, and action boundaries.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
香意國際
12 skills on Agensi
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