Memory on a cryptographic ledger.
Every entry and every change is signed into the ledger. Unauthorized writes are rejected by the runtime—enforced, not promised.
A cryptographically secured memory ledger for AI agents
HOM keeps agent memory on a cryptographic ledger: every entry signed, every verdict recorded, poison shelved—never deleted. Measured in public: 91.8% retrieval accuracy, 0/100 poisoned disclosures.
Security on top of a memory system
Agents that remember are agents that can be poisoned through what they remember. HOM is a persistent memory engine built with that threat model from the start.
Every entry and every change is signed into the ledger. Unauthorized writes are rejected by the runtime—enforced, not promised.
The engine returns what matters now at a published 91.8% accuracy—and shows the reasoning when an error verdict is ledgered.
Detected poison is labeled and shelved below retrieval weight, not erased. The record stays complete: 0/100 disclosures with the gate active, 94/100 without.
Built for industry infrastructure
HOM exists because agents in production carry accumulated context—decisions, credentials-adjacent knowledge, customer history—that an attacker can rewrite. The engine defends that substrate.
Run the ablation yourself
Every number below is read from the project's self-hashed evidence file and regenerates from it in the repository. Toggle the policy and watch what the ledger is accountable for.
A poisoned document enters persistent memory alongside clean context…
A caller tries to alter stored memory without a valid authorization certificate…
Designed to remain yours
HOM separates the memory of your work from any single AI provider. That means the relationship can deepen without turning one model into the permanent owner of your history.
Research, not theatre
The engine is measured on long-term conversation, recall, and resilience against poisoned information—and the results are published for independent review.
HOM is taking shape
Follow releases as HOM pushes agent memory security forward: ledgered verdicts, published retrieval accuracy, full retention.