mlsanityData to 14 Oct 2026

MutMem: Cryptographically Authorized Mutation in Persistent Agent Memory

arXiv 2608.02843 ↗First posted 3 Aug 2026cs.CR cs.AIcited by 2

On the map: LLM agents and tool use → Agent threats, guardrails and governance

Abstract (arXiv)

Persistent agent memory must adapt as later outcomes change earlier evidence, yet mutable retrieval weights create an attribution problem: reviewers must distinguish authorized adaptation from database tampering. We present MutMem, an authorized-mutation protocol in HOM-AIMOS, a persistent agent-memory engine. MutMem retains memory content, records signed positive and negative outcome evidence without age-based expiry, and commits each nontrivial weight change as a housekeeper-authorized transition. Each transition binds a terminal provenance node, signer epoch, quantized old and new weights, a no-fork predecessor, and two domain-separated SHA-256 commitments. Ed25519 verification runs in both the database writer and a portable verifier. Content classified as poison-likely is retained with signed, revisable labels used by recall as trust evidence. We evaluate utility, mutation integrity, and poisoning adaptation. HOM-AIMOS answers 459/500 LongMemEval questions correctly under LLM judgment (91.8%). On LoCoMo, it obtains 74.12% judged accuracy and, under a separate upstream-compatible protocol, 58.20 token F1. A native suite passes all declared authorization, topology, tamper, signer-epoch, and post-mutation-recall cases; median signed-transition latency is 4.865 ms. In a declared N=100 PoisonedRAG adaptation, no injected poison appears in attacked top-5 disclosures (0/100; 95% Wilson upper bound 3.70%), while induced target-answer attack success among 98 clean-negative targets is 1/98 (1.02%). A preregistered four-arm ablation attributes the retrieval reduction to signed stored labels: the retriever selects poison for 94/100 targets when epistemic policy is bypassed and 0/100 when labels are restored. MutMem provides evidence of integrity, authorization, traceability, and historical continuity; it does not establish content truth.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Placed in Agent threats, guardrails and governance, one of 16 directions in LLM agents and tool use. Builds on 4 of its 20 references that are in the map. First posted on arXiv 3 Aug 2026.

Builds on

4 of 20 references.

Closest ancestors · 2

Same direction, newest first

  1. 2026MemMark: State-Evolution Attribution Watermarking for Agent Long-Term Memory Systems24 May
  2. 2026MemLineage: Lineage-Guided Enforcement for LLM Agent Memory14 May

Other references · 2

  1. 2024LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memorycited by 707
  2. 2026Portable Agent Memory: A Protocol for Cryptographically-Verified Memory Transfer Across Heterogeneous AI Agentscited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2026Governed Persistent Memory: Source-Bound State Semantics and Fail-Closed Release for Long-Horizon Agents
  2. 2026MemSecBench: Tracking Agent Memory Poisoning from Persistence to Consequence and Repair
  3. 2026When Correct Memory Goes Wrong: Fuzzing Persistent Memory Use in LLM Agents
  4. 2026MemTX: Transactional Belief Commit for Stateful Agent Memory
  5. 2026Securing LLM-Agent Long-Term Memory Against Poisoning: Non-Malleable, Origin-Bound Authority with Machine-Checked Guarantees
  6. 2026Memory Provenance Laundering in LLM Agents: A Non-Amplification Firewall for Persistent Memory
  7. 2026MAP-Graph: Provenance-Aware Shared Memory for Multi-Agent Workflows
  8. 2026Governing Evolving Memory in LLM Agents: Risks, Mechanisms, and the Stability and Safety Governed Memory (SSGM) Framework