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The concepts behind durable agent teams

Honest definitions of the categories that matter — what each is, what it isn't, what to look for, and where OrgSDK fits. Every page links down into the product, plugins, use cases, and comparisons.

AI agent runtime

An AI agent runtime is the place a team of agents lives and runs in production. It gives agents tools to act, schedules to fire on, memory that survives restarts, approval gates for risky steps, and an audit trail of what happened. A chat that drafts a reply is a demo; a runtime is what keeps the work going at 3am.

Agent operations platform

An agent operations platform is the system that runs and oversees durable agent teams in production — not the model, and not a single workflow. It owns the operational loop: give agents tools, fire them on schedules, let them remember, gate the risky steps, and record everything so a team can trust and inspect the work.

MCP runtime for AI agents

An MCP runtime gives an MCP-capable client durable execution and state. The client (Claude Desktop, Cursor, ChatGPT, or OpenCode) reasons and chooses tools; the runtime provides bounded execution, durable memory, schedules, approvals, and an audit trail. It turns an interactive client into something that can run, remember, and be overseen.

The concepts behind durable agent teams

AI agent runtime

Agent operations platform

MCP runtime for AI agents

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