Glossary
A technical reference for building reliable AI agent systems in production.
Silent Failure
A failure mode where an AI agent stops executing correctly or deviates from intended logic without throwing an error or alerting the system.
Durable State
Agent memory and variables that are persisted to a fault-tolerant storage layer, surviving process restarts and crashes.
Agent Checkpointing
The process of saving the entire state of an AI agent at specific milestones or after every 'turn' in its reasoning loop.
Reliability Layer
A dedicated infrastructure tier that sits between the AI agent and the LLM, managing state, persistence, and failure recovery.
Crash Recovery
The ability of an agent system to automatically resume execution from the last known good state after a hardware or software failure.
Agent Rollback
The act of reverting an agent's state to a previous version after a logic error or hallucination is detected.
State Persistence
The storage of agent session data in a way that it remains available after the session ends or the agent process terminates.
Durable Execution
A programming paradigm where code execution is guaranteed to complete in the face of crashes, network failures, or reboots.