Observed since 20 Oct, 22:12 UTC
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A framework for making agents more aware of their environment through explicit modeling of pre and post effects
Agent-Log is a framework aiming to make agents more aware of their enviroment through the explicit modeling of pre and post effects. The approach is inspired by logic-based AI theory such as the "AI Frame Problem".
This repository implements the Agent-Log framework, providing utility methods that are usable across agentic workflows. Specifically, the following are included:
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.1.0 | 1 Apr 2026 | 4 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 22:12 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
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