MemoryGuard
An observability and compliance layer that lets engineering teams inspect what their AI agents remember, redact PII, and enforce retention across persistent-memory backends.
Engineering teams deploying AI agents that read and write persistent memory in production
- Per-tenant memory inspector showing exactly what each agent remembers per user and session
- Policy-based PII detection and redaction on both write and recall paths
- Audit log with retention, deletion, and right-to-be-forgotten controls
- Cost tracking dashboard for memory storage and recall APIs per customer
As agents move to production with real users, GDPR and CCPA pressure on agent memory mounts while most stores ship as black boxes.
Multiple 2026 articles from law firms (Astraea Law), compliance blogs (Atlan, AI Policy Desk, Qubittool) and vendors (Regolo) flag GDPR/CCPA right-to-delete gaps in agent memory, and major observability buyers already ask 'Can I redact PII before it leaves my infra?' — real pain but still nascent spend.You Cannot Delete What You Do Not Know the Agent Stored ↗AI Agent Observability 2026: LangSmith vs Langfuse vs Helicone vs Arize ↗
Crowded on both sides: Mem0 (48-55K★), Zep/Graphiti, Letta dominate memory; LangSmith, Langfuse, Helicone, Arize own observability and already address PII redaction; Regolo's 'agentmemory' is a direct GDPR-focused memory product — not wide-open.Mem0 vs Zep vs LangMem vs Letta: AI Agent Memory Showdown 2026 ↗Give your AI agents persistent, GPDR compliance and memory ↗
Established pricing benchmarks: LangSmith ~$39/seat/mo + usage, Langfuse ~$59/mo, Helicone usage-based from $0.0005/req — observability/compliance layers command $50–500+/mo in B2B with clear ROI via avoided fines, but niche memory-compliance overlap is unproven.AI Agent Observability 2026: LangSmith vs Langfuse vs Helicone vs Arize ↗
GDPR/CCPA enforcement is only intensifying through 2026 and agent memory is structurally a long-lived personal-data store — compliance obligations scale with agent adoption rather than fade.GDPR Compliance for AI Agents: Requirements and Controls [2026] ↗
Heterogeneous memory backends (Mem0, Zep, Letta, raw vector DBs) each need bespoke connectors and PII detection/redaction pipelines; Langfuse already provides a MIT-licensed OTEL-native scaffold, but memory-aware retention + erasure across vendors is non-trivial engineering.AI Agent Observability 2026: LangSmith vs Langfuse vs Helicone vs Arize ↗