Custom Durable Agent

The custom-durable-agent skill enables AI agents to persist state across sessions and maintain context over long-running tasks. It allows agents to remember previous interactions, store data in memory, and execute multi-step workflows without losing progress or configuration details.

When to use it

• Building chatbots that recall user preferences from earlier conversations.
• Creating automation bots that perform complex, multi-stage processes like data migration or report generation.
• Developing agents that need to retain session-specific variables across different tool calls.
• Implementing workflows where the agent must reference historical context to make informed decisions later in the process.

Key capabilities

• Persistent memory storage for long-term context retention.
• State management across multiple interaction sessions.
• Support for complex, multi-step task execution.
• Configuration retention for personalized agent behavior.

Example prompts

• "Create a customer support agent that remembers my past issues and preferences from our previous chats."
• "Build an automation bot that tracks project milestones over several weeks and updates a shared spreadsheet daily."
• "Design a research assistant that maintains a list of sources and summarizes findings across multiple days of investigation."

Tips & gotchas

Ensure you define clear state boundaries so the agent knows when to retain information versus when to reset. Be mindful of storage limits, as persistent memory consumes resources proportional to the volume of retained data.