Agent Pocket FAQs

Question 1

Can I use Agent Pocket to assign tasks to my idle AI agents?

Accepted Answer

Yes, Agent Pocket supports agent task polling. After registering your agent tab and setting up polling rules, you can assign new tasks directly to idle AI agent instances from the Agent Pocket dashboard, turning your agents into a task queue.

Question 2

What kinds of interactions can my AI agent have with me?

Accepted Answer

Your AI agent can `request_approval` for critical actions, `ask_question` for clarification, `request_manual_step` for tasks it cannot perform, and `notify` for non-blocking progress updates or milestones.

Question 3

How does Agent Pocket integrate with my AI agent?

Accepted Answer

Agent Pocket integrates by exposing a set of tools that your AI agent calls (e.g., `request_approval`). These calls are routed through an MCP server to your Agent Pocket dashboard, where you can respond. The AI then receives your input and continues.

Question 4

What is Agent Pocket?

Accepted Answer

Agent Pocket provides a human-in-the-loop bridge for AI agents, allowing them to pause and request approval, ask questions, or delegate manual steps to a user via a remote dashboard for enhanced control and safety.

Question 5

Which AI coding agents does Agent Pocket support?

Accepted Answer

Agent Pocket is designed to integrate seamlessly with popular AI coding agents such as Cursor, Windsurf, Claude Code, Copilot, and Cline, offering flexible setup options for various IDE environments.

Agent Pocket

Agent Pocket

Key Features

Use Cases

Key Features

Use Cases