The permanent record of what an AI runtime actually did.

RuntimeLedger combines two increasingly important infrastructure concepts: the runtime where autonomous execution happens and the ledger that records state, actions, evidence, decisions, and outcomes. The result is a precise name for the accountability layer surrounding AI agents.

RuntimeLedger.com is more than a clever combination: the terminology is actively emerging in AI infrastructure. A recent 2026 research project named Ledger specifically proposes a deterministic runtime layer that maintains an online execution ledger describing what an agent has observed, modified, and attempted, with governance checks before subsequent commands execute. :contentReference[oaicite:0]{index=0} Open-source agent-runtime projects are likewise using ledger concepts for idempotency, evidence, replay, audit trails, policy enforcement, cost records, and time-travel debugging. :contentReference[oaicite:1]{index=1}