Why AGLedger™

213 API routes. 800+ tests. A 17-state lifecycle with 11 built-in contract types. A patent-pending audit vault with cryptographic integrity at every layer.

It handles single-agent accountability today and scales into multi-agent delegation and cross-enterprise federation without re-architecture.

Ask any AI agent what it did one second after its context clears and you get a reconstruction with possible hallucinations. It summarizes what it thinkshappened and presents it as fact. This is how LLMs work. They don't remember — they regenerate.

Now add delegation. Agent A tells Agent B to do something. Agent B reports back. Ask Agent A what the agreement was and you get Agent A's interpretation of Agent B's summary of a conversation that no longer exists in either context window.

AGLedger records the commitment before work starts. The mandate is locked at creation — what needs to be done, by when, under what constraints. The receipt is submitted by the performer with evidence. The verdict is rendered by the principal. None of this is reconstructed from memory.

Mandates persist between context wipes. A new context window can query AGLedger to know exactly what the previous context agreed to, what's been delivered, and what's still outstanding. The commitment lives outside the agent, not inside it.

AGLedger links the intent to the action to the outcome — across agents, across providers, across context windows that no longer exist. Every mandate, receipt, and verdict forms an accountability chain. Webhook events feed directly into your existing alerting, OCSF v1.4.0 export maps to standard security event formats, and every record is exportable as JSON, CSV, or NDJSON at any time.

LLM agnostic. Self-hosted in your AWS, Azure, GCP, or on-prem environment. Kubernetes-native. Your PostgreSQL database, your Ed25519 keys, your region. We never see your data. If you stop using AGLedger, your data stays in standard PostgreSQL tables.