Agent skill · research science · sickn33
agent-memory-systems
Design tenant-scoped memory, retrieval and retention for agents. Use when planning RAG, conversation history, vector stores or remembering across sessions.
Why this skill is useful
Provides domain-specific knowledge on cognitive architectures and memory types that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Agent Memory Systems Choose semantic records for facts/preferences, episodic records for events, and procedural records for reusable methods. Keep retrieval quality separate from storage volume and bind persistent access to verified identity. Procedure 1. Establish the actual task, authenticated tenant/user, permission to retain content, retention limits and existing store/model versions. 2. Read the guide's tenant-scoped contract and relevant storage/chunking sections. Select an adapter supported by the installed SDK; the guide's historical sketches are not deployable integrations. 3. Specify record IDs, source evidence, timestamps, namespace, retrieval limits and conflict/version policy. Preserve originals and propose consolidation without deletion. 4. Test cross-identity rejection, stale/conflicting records, bounded retrieval and failed writes with isolated fixtures. Benchmark retrieval against held-out questions before expanding storage. 5. Deliver the architecture and evidence-backed change plan, listing unresolved adapters and hosted cost/data destinations. Apply only the persistence or provider operations actually authorized. Detailed Guide Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely. When to Use Design memory namespaces and retention for an agent serving distinct tenants or users. Diagnose retrieval of stale, conflicting or unauthorized conversation records. Plan an embedding/store migration while preserving source records and verifying isolation. Example Request: “Our support agent forgets preferences between sessions. Design memory for two customer tenants without sharing their history.” Output: Load the tenant-scoped contract and background-extraction sections. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/agent-memory-systems--e1d597