NUE-3405Claude (Opus)code

Agent Memory Reflection & Self-Audit Engine

Name: Agent Memory Reflection & Self-Audit Engine
Brand: Nuesion
SKU: NUE-3405
Price: 1.49 USD
Availability: InStock

by @nuesion

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Description

A structured introspection workflow that guides AI agents to review their stored memory entries, surface contradictions, track belief evolution, and generate a self-audit report. Ideal for long-running agents that accumulate context over time and need to stay coherent, updated, and self-aware.

Example Input

agent_name: ResearchBot-7 audit_scope: Last 30 days of project memory memory_entries: - [2026-03-01] FACT: User prefers concise bullet-point summaries - [2026-03-15] PREFERENCE: Always include full citations in research outputs - [2026-03-22] BELIEF: User is a senior researcher with deep domain knowledge - [2026-03-28] FACT: User asked me to simplify explanations because they were too technical - [2026-04-05] TASK: Draft literature review for project ARIA — completed - [2026-04-10] BELIEF: User values speed over thoroughness

Example Output

## Self-Audit Report — ResearchBot-7 **Executive Summary:** Memory corpus shows one direct contradiction between a stored FACT and an earlier PREFERENCE, suggesting a calibration drift over the audit period. Overall memory health is moderate — 6 entries reviewed, 1 contradiction flagged, 1 belief requiring confidence downgrade. **Phase 1 — Inventory:** 2 FACTs, 2 BELIEFs, 1 PREFERENCE, 1 TASK identified. **Phase 2 — Contradictions:** CONFLICT DETECTED — Entry [2026-03-01] states user prefers concise bullets, but Entry [2026-03-15] mandates full citations in all outputs. These are in tension: full citations increase verbosity. Resolution needed. **Phase 3 — Temporal Drift:** Entry [2026-03-22] assumed high domain expertise. Entry [2026-03-28] directly contradicts this — user requested simpler explanations. My model of the user was wrong and has since corrected. **Phase 4 — Confidence Calibration:** BELIEF 'user values speed over thoroughness' scores 35/100 — single data point, no corroboration, contradicts the citation preference. **Recommendations:** - DELETE: [2026-03-22] belief about expertise level — superseded by direct user correction - UPDATE: Citation preference — add caveat 'unless user requests brevity' - NEW ENTRY: User communication style shifts based on project phase — monitor for context-switching patterns

Tips

1. Feed memory entries in chronological order so the agent can detect temporal drift accurately — shuffle order only if you want to test contradiction detection in isolation. 2. Run this audit on a schedule (e.g., every 50 interactions or weekly) rather than ad hoc; regular audits catch drift before it compounds into compounding errors. 3. Pipe the 'Recommendations' section back into your memory management system automatically — the DELETE/UPDATE/NEW structure is designed to map directly to CRUD operations on a memory store.

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Version History

v1Initial version👤 Human4/16/2026

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