If you can't replay what an AI did,
you can't audit it.
AI systems have no verifiable memory. Prompts disappear. Context windows rotate out. Decisions are made and forgotten in milliseconds. When a regulator, auditor, or litigator asks "what did your AI do on March 15?" most organizations cannot answer. Cachee changes that. Every AI operation is cached with cryptographic proof, hash-chained into a tamper-evident trail, and independently verifiable without Cachee, without the network, without trust.
AI systems operate with amnesia
Every other critical system in your organization has an audit trail. Your AI does not. Here is what disappears every time a context window rotates.
Prompts Vanish
The exact instructions that shaped an AI decision are discarded after the response is generated. You cannot prove what was asked, how it was asked, or what context was provided.
Context Windows Rotate
LLMs have finite context. As conversations grow, earlier context is dropped silently. The AI is literally operating on a different understanding than what the user intended, with no record of the shift.
Decisions Are Ephemeral
An AI agent makes a routing decision, a classification, a recommendation. Seconds later, the only evidence it happened is a log line that says "200 OK." The reasoning, the inputs, the alternatives considered — all gone.
Model Weights Change
The model that made a decision last Tuesday may not exist anymore. Fine-tuning, RLHF updates, and version rotations mean the same prompt produces different outputs. Without memory, you cannot even detect drift.
Logs Are Not Proof
Application logs record that something happened. They do not prove what happened. Logs can be edited, truncated, rotated, or lost. They are not hash-chained. They are not independently verifiable. They are not evidence.
Regulators Are Coming
EU AI Act, FFIEC examination guidance, HIPAA audit requirements, SEC model risk management — all require demonstrable auditability of AI decisions. "We didn't keep records" is becoming a compliance violation.
Every AI operation. Cached. Proven. Verifiable.
Cachee treats AI computations the same way it treats any expensive operation: cache the result, bind it to a cryptographic proof, chain it into a tamper-evident history, and make it independently verifiable forever.
Complete Execution Context
Every AI operation stores the full computation context: input data hash, prompt or instruction hash, model identifier and version, hyperparameters, output, timestamp, and authority chain. Not a log line. The complete context needed to verify the decision.
Cryptographic Proof
Each cached operation is bound to a SHA3-256 hash of its contents. The hash covers inputs, outputs, and metadata. Any modification — even a single bit — produces a completely different hash. The proof is the data.
Hash-Chained History
Each operation's hash includes the previous operation's hash, forming a tamper-evident chain. Altering any historical entry breaks every subsequent hash. You cannot rewrite history without detection. The chain is the audit trail.
Independent Verification
Verification requires only the data and standard hash functions. No Cachee account. No network connection. No trust in any third party. Anyone with the chain can verify its integrity using commodity tools. The proof stands alone.
Optional H33-74 attestation adds post-quantum signatures to the chain — three independent cryptographic families in 74 bytes. This means the audit trail remains verifiable even against quantum adversaries. But even without H33-74, the hash chain alone provides tamper evidence that exceeds any traditional logging system.
Verifiable AI Memory Infrastructure
Cachee's verifiable AI memory is built on five pillars. Each addresses a specific failure mode in current AI infrastructure. Together, they provide the complete audit-grade memory layer that AI systems are missing.
AI Audit Trails
Hash-chained, tamper-evident audit trails for every AI operation. Not logs. Cryptographic proof of what happened, when, with what inputs, and what the AI produced. Exportable, searchable, compliance-ready.
Explore AI Audit Trails →Replayable AI Systems
Replay any AI decision from any point in time. Cachee stores the complete execution context needed to reconstruct and verify what happened. Not what logs say happened — what actually happened.
Explore Replayable AI →Tamper-Proof AI Memory
Memory that resists modification after the fact. Hash chains detect any alteration. Post-quantum attestation (optional) ensures the proof survives even quantum-capable adversaries. The record is permanent.
Explore Tamper-Proof Memory →Verifiable Agent Execution
AI agents make chains of decisions: tool calls, API requests, reasoning steps. Cachee captures the entire execution graph with cryptographic proof at each node. Verify the full agent trajectory, not just the final output.
Explore Agent Verification →AI Memory Integrity
Continuous integrity verification for AI memory stores. Detect corruption, drift, and unauthorized modifications in real time. The memory layer watches itself and proves its own consistency.
Explore Memory Integrity →Give Your AI Systems a Verifiable Memory
Deploy in minutes. Every AI operation cached, proven, and independently verifiable. No infrastructure changes required.