TIMING · INFERENCE · INFORMATION GAIN
revive-companion
REVIVE-COMPANION · @PEARTHINK123
Decide when contact makes the most sense, rather than mechanically sending a sentence on time.
revive-companion focuses on solving the hardest part of proactive messaging: whether contact is worthwhile and appropriate at the moment.
Project address (can be copied to AI):https://github.com/pearthink123/revive-companion
PROJECT INTRO
Project introduction
revive-companion uses probabilistic processes, user state inference and information gain to evaluate proactive contact opportunities and output whether they are suitable for interruption.
The project intentionally does not contain memory, personality, or emotional systems, and is suitable as a stand-alone timing module for existing partners.
- Suitable for:There is already a companion system, but it only lacks people who can judge the timing of proactive messages.
- Platform:Python, can be embedded in any system.
- Usage:Input interaction and user status signals and read contact decisions.
- License:MIT。
COMMENTS & FEEDBACK
Comments and Feedback
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SOURCE & CREDIT
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