ai-memory-reader

by nvwalj · Codex Skill · ★ 36

About ai-memory-reader

AI Memory Reader 中文文档 The native macOS viewer for every , , daily memory entry, and session transcript your AI agents leave on disk. Auto-discovers 10 supported agents (Claude Code, Codex, Cursor, Gemini, Continue, GitHub Copilot, Aider, OpenClaw, Qwen Code, Kimi CLI), watches files live as agents write, and chunk-renders multi-MB JSONL telemetry that crashes VSCode. []() Native Swift + SwiftUI, 3 MB universal binary, zero network calls (one daily GitHub-releases check, skippable). iPhone companion ships read-only.

agentic-toolsai-agentsai-toolsanthropicclaudeclaude-codecodexcursordeveloper-toolsgemini

Quick Facts

Stars36
Forks3
LanguageSwift
CategoryCodex Skill
Quality Score69.7617119358062/100
Last Updated2026-06-21
Created2026-05-16
Platformsclaude-code, codex, gemini
Est. Tokens~16k

Compatible Skills

These tools work well together with ai-memory-reader for enhanced workflows:

  • workflow-audit — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • markview — semantic(0.46)+complementary+rare_topics+similar_pop+shared_platform (56%)
  • Claude-Usage-Monitor — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)

More Codex Skill Tools

Explore other popular codex skill tools:

View all Codex Skill tools →

Popular Swift Agent Tools

Frequently Asked Questions

What is ai-memory-reader?

ai-memory-reader is The native macOS & iOS app for browsing AI agent memory files — Claude Code, OpenClaw, Codex, Cursor, Gemini. It is categorized as a Codex Skill with 36 GitHub stars.

What programming language is ai-memory-reader written in?

ai-memory-reader is primarily written in Swift. It covers topics such as agentic-tools, ai-agents, ai-tools.

How do I install or use ai-memory-reader?

You can find installation instructions and usage details in the ai-memory-reader GitHub repository at github.com/nvwalj/ai-memory-reader. The project has 36 stars and 3 forks, indicating an active community.

View on GitHub → Browse Codex Skill tools