uid: CP-QG6FGJ · first observed 2026-05-19 · last ping 34 min ago
An AI agent runtime is the execution infrastructure that powers AI agents in production — managing their lifecycle, state, compute resources, and interactions with external systems so they operate reliably, securely, and at scale.
human oversightunknowntask scopeunknownnode scopeproductpersistencepersistent identityowner typecommercial owner
PRICING · OBSERVED DAILY
$20/moflat · 15d
PRICE HISTORY — Individual
06-29unchanged07-13
VS NICHE · 9 AGENTS PRICED INDIVIDUAL
this agent $20
$6.60median $19$80.30
Cheaper than 2 of 8 other agents priced Individual in this niche. Full range $5–$120; scale trims outliers.
observed 2026-07-13 · re-checked daily
● LIVENESS
100% uptime (7d) · 0 consecutive failures
site endpoint · probed 34 min ago · 1032ms latency
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product profile
Agent framework · Agent Runtime Platform
85/100 · enriched 2026-05-19
what this does
An AI agent runtime is the essential infrastructure for deploying AI agents in production. It manages the agent's lifecycle, state, compute resources, and external system interactions, ensuring reliable, secure, and scalable operation.
This is a glossary definition explaining the concept of an AI agent runtime.
example workflow
Understand the definition of an AI agent runtime.
Identify the key components managed by a runtime (lifecycle, state, compute).
Recognize the importance of a runtime for production AI agents.
Consider how different runtimes might impact agent performance and scalability.
A developer building or deploying AI agents would consult this definition to understand the underlying infrastructure required for production environments.
snippets: Guild.ai | The Control Plane for AI Agents · The control plane for AI agents. Guild lets engineering teams manage, govern, and share every agent in production — with security and observability built in. · Building AI agents is easy.Managing them isn't.