agent-memory-systems
Design tenant-scoped memory, retrieval and retention for agents. Use when planning RAG, conversation history, vector stores or remembering across sessions.
How do I install this agent skill?
npx skills add https://github.com/sickn33/agentic-awesome-skills --skill agent-memory-systemsIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill provides a comprehensive architectural guide and code patterns for designing secure agent memory systems, focusing on multi-tenant isolation and data verification. It includes patterns for integrating well-known services such as LangChain, Pinecone, and Qdrant. While the skill inherently designs for the ingestion of external data—a common surface area for indirect prompt injection—it provides explicit guidance on mitigating these risks by treating ingested text as untrusted and isolating records by verified server-side identity.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
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
- Establish the actual task, authenticated tenant/user, permission to retain content, retention limits and existing store/model versions.
- 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.
- Specify record IDs, source evidence, timestamps, namespace, retrieval limits and conflict/version policy. Preserve originals and propose consolidation without deletion.
- Test cross-identity rejection, stale/conflicting records, bounded retrieval and failed writes with isolated fixtures. Benchmark retrieval against held-out questions before expanding storage.
- 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. Propose a semantic namespace per verified tenant/user, records with source IDs and revisions, and bounded retrieval. Retain conflicting preferences until the owner resolves them; include tests that tenant B cannot retrieve or consolidate tenant A records. Identify the existing persistent adapter and consent/retention evidence before any write.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/sickn33/agentic-awesome-skills/agent-memory-systems">View agent-memory-systems on skillZs</a>