We don't publish
your competitive advantage.
AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFBefore the agent performs an action, a human should verify the action to ensure safety or correctness.
THENAdd a human verification mode where for each action, the agent waits for the human to press 'Enter' to confirm before proceeding. This prevents accidental or harmful actions from being executed automatically.
IFYou need site_1 to pause execution and request user input, confirmation, or edits before proceeding.
THENLeverage CopilotKit's Human-in-the-Loop feature. Build your agent workflow so that it yields control back to the user, waiting for a response before continuing. The framework handles pausing and resuming the agent.
IFWhen you need to allow users to interrupt an agent's execution in realtime and resume later seamlessly.
THENUse AgentScope's ReActAgent with realtime interruption support. The agent can be cancelled mid-execution and preserves memory to resume the conversation. Implement cancellation logic and ensure memory state is saved.
IFAgent execution needs to be paused for human intervention.
THENImplement an interactive pause and resume functionality in the agent execution loop. When the agent pauses, it should yield control to a human operator, and later allow the operator to resume execution from the same point.
IFDuring a pause, the human may need to provide a new task or redefine the existing task.
THENAdd a prompt that accepts a new task or modifies the current task when the agent is paused. This allows the human to dynamically change the objective without restarting the agent.
IFDuring pauses, the human may want to take direct control of the browser.
THENAllow the human to interact with the browser directly while the agent is paused. This enables manual adjustments or navigation that the agent cannot handle, and then the agent can resume from the new state.
Connect your site → query the full pool
What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
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