Integrations
This OpenClaw plugin uses Jev to evaluate plain-language conditions for automation triggers, waking the agent only when necessary.
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The plugin relies on OpenClaw's decision model role to evaluate conditions on every tick. While quiet ticks avoid running the full conversation model, they still incur small Jev API costs. The reported 99% accuracy is based on 76 synthetic test cases and should not be treated as a general benchmark.
You can write your trigger conditions in everyday words instead of code. The plugin checks this condition on a schedule, and if it is true, it wakes up your main AI assistant to take action.
To use it, you need OpenClaw version 2026.9.6 or newer. You can generate a trigger script using the provided command-line tool, which lets you specify exactly what should and should not trigger the assistant.