Capture Notes
arXiv:2603.02240.
Why Collected
Relevant as a proposed defense architecture for multi-agent memory poisoning using architectural isolation, Bayesian trust scoring, per-agent provenance, and local-first storage.
Key Metadata
- Submitted: 2026-02-17
- Subject: Artificial Intelligence; Cryptography and Security
- DOI: https://doi.org/10.48550/arXiv.2603.02240
- Code link listed on arXiv page
Collection Summary
The paper presents a local-first memory system for multi-agent AI with architectural isolation, Bayesian trust scoring, SQLite/FTS5 storage, knowledge graph clustering, event-driven coordination, per-agent provenance, adaptive re-ranking, and MCP integrations.
Security Relevance
- Useful defense-side source for isolating poisoned memory propagation across sessions/users/agents.
- Provides concrete implementation primitives for MAS memory governance: local storage, trust scoring, per-agent provenance, behavioral data isolation.
- Treat benchmark claims cautiously because this is a preprint by an independent author.
Suggested Ingest Focus
- Compare with [[raw/papers/collaborative-memory-dynamic-access-control-2025.md]] and [[raw/papers/self-evolving-mas-decentralized-memory-2026.md]].
- Extract evidence for isolation/provenance/trust-score defense variables in [[04_Research_Questions/RQ - MAS Misevolution Propagation Control]].