syke

Maintain a local timeline of AI activity across supported platforms.

58|3|Updated Dec 27, 2025

Search Tags:#timeline #context #AI agent #memory #AI activity

Ready to run

npx skills add https://github.com/saxenauts/syke --skill syke

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: syke
Source: https://github.com/saxenauts/syke/tree/main
Command: npx skills add https://github.com/saxenauts/syke --skill syke

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires syke, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a local memory agent that tracks AI activity across supported platforms, enabling agents to maintain a shared timeline and make informed decisions based on the user's history.

Core Features & Use Cases

Local Memory Agent: Observes and stores AI activity across Claude Code, Codex, OpenCode, Cursor, GitHub Copilot, Antigravity, Hermes, and Gemini CLI.
Shared Timeline: Generates a coherent timeline of the user's activities, making it easy for AI agents to understand the context and make informed decisions.
Command-Line Interface: Offers syke ask, syke memex, syke record, syke status, and syke doctor for querying and managing the memory.
Use Case: When you work on a project, this Skill allows your AI agents to reference past decisions, track progress, and avoid repeating the same mistakes.

Quick Start

Use the syke skill to view the current memex and search for past activities related to 'project XYZ'.

Frequently Asked Questions about syke

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I maintain a shared AI activity timeline across multiple coding platforms?▼

To maintain a shared AI activity timeline, you can use a local memory agent that records and stores activities from supported platforms, generating a coherent history for agents to reference.

Can AI agents reference past decisions from Claude Code and Cursor in a single context?▼

Yes, AI agents can reference past decisions from Claude Code and Cursor together by querying a local timeline that aggregates cross-platform AI activity into a shared context.

Does this local memory agent support GitHub Copilot and Gemini CLI activity tracking?▼

This local memory agent supports activity tracking for GitHub Copilot and Gemini CLI, alongside Codex, OpenCode, Antigravity, and Hermes, storing them in a local data timeline.

How do I query past AI activities for a specific project using the command line?▼

You can query past AI activities for a specific project using the command line interface, which offers commands like 'ask' to search the local memory and 'status' to view tracking state.

What Python libraries are needed to run a local memory agent for AI activity?▼

Running a local memory agent for AI activity requires specific Python libraries to handle local data processing and storage, which can be verified using the 'doctor' command.

Why do my AI agents keep repeating the same mistakes across different coding tools?▼

AI agents repeat mistakes across different coding tools when they lack a shared memory context; implementing a local timeline allows them to track progress and reference past decisions.