Agent Memory Audit
Adversarial memory audit to remove PII, stale facts, and injected instructions from agent storage.
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THE AGENSI STORE
40 skills found
Adversarial memory audit to remove PII, stale facts, and injected instructions from agent storage.
A retrieval architect that diagnoses why RAG returns confident-but-wrong answers, picks the right context architecture (RAG vs knowledge graph vs structured/temporal retrieval) instead of defaulting to vector search, and designs the institutional-memory schema embeddings throw away.
by Shippers
Developers waste time re-explaining their project to AI agents every session.
by Shandra
Tests AI agents, prompts, and agent skills against edge cases, unsafe behavior, output failures, permission risks, escalation gaps, memory leaks, and marketplace-quality weaknesses.
by Shandra
Designs controlled multi-agent workflows with clear roles, contracts, validation gates, approval steps, memory boundaries, audit trails, error handling, and fallback behavior.
by Shippers
Developers waste time re-explaining their project architecture, conventions, and decisions to AI coding agents in every
Diagnose and fix context-window problems in your agent setup. Inventories everything that loads — memory files, skills, MCP tool definitions, hooks — estimates where the budget goes, maps your symptoms to causes, and prescribes concrete trims, restructures, and session habits, rewriting the files where that's the fix.
by Echo Rose
Agent Memory - A Premium AI Agent Skill
by John Barros
Architects human-supervised local AI operations with shared memory, SOP playbooks, and strict approval gates.
by PromptWagon
Creates structured Q&A flashcard decks, definitions, examples, memory cues, printable card layouts, digital deck structures, quiz prompts, answer keys, category groupings, study guidance, product listing copy, preview briefs, and publishing checklists for educators, students, tutors, homeschoolers, and digital product sellers.
Durable, cross-session memory for agents using private cloud storage and atomic indexing.
Automated daily kickoff and shutdown routine with structured session logging and context recovery.
by PromptWagon
Designs practical memory architectures for AI assistants, agents, copilots, automations, and workflows, including memory schemas, retention rules, update policies, retrieval keys, summary formats, privacy boundaries, conflict handling, user preference memory, project memory, task memory, and audit-ready memory governance notes for builders.
A defensive catalog of ~39 agent security attack patterns across every surface — injection, tool abuse, exfiltration, memory poisoning, multi-agent trust, retrieval poisoning — each with a detection signal, a concrete defense, and a severity. Nine reference files plus a threat-model worksheet. For hardening agents you own.
by Tradeplier
Detect unauthorized drift in your agent's always-loaded files: SHA-256 baselines on a heartbeat, human-gated re-seed by Telegram tap.
by Jose Luis
Persistent Markdown graph that tracks project decisions, failed attempts, and open threads across sessions.