Temporal Canvas — AI skill for Claude Code

Temporal Cognition Engine: Time-Aware Agent Integration Framework

[](https://karthiknarsimsetty22.github.io/temporal-canvas/)

[](https://opensource.org/licenses/MIT) [](https://www.python.org/) [](https://openai.com) [](https://anthropic.com)

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The Problem: Agents That Live in an Eternal Present

Traditional AI agents operate in a time vacuum. They process requests as isolated snapshots, unaware that moments cascade, that context ages, and that the world doesn't reset between conversations. This temporal blindness creates agents that:

• Forget the weight of elapsed hours when making decisions
• Treat a 5-minute-old conversation identically to one from 5 days ago
• Fail to exhibit the natural cognitive decay that makes human interaction feel authentic
• Cannot schedule, anticipate, or reflect—because time itself is invisible to them

**Temporal Cognition Engine (TCE)** gives your agents a sense of time passing. It's not a scheduler. It's a cognitive layer that lets agents _feel_ the arrow of time.

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What Makes This Different

Most "time-aware" systems just timestamp events. That's like giving a compass to someone who's blindfolded. TCE provides:

• Temporal decay functions that gradually shift agent memory and priority based on elapsed time
• Circadian hooks that modulate agent behavior based on simulated day/night cycles
• Event horizon awareness—agents can sense approaching deadlines or time-based triggers
• Lightweight, hook-based integration—add temporal awareness in minutes, not weeks

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Core Architecture

flowchart TD
    A[User