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docs: Add practical workflow example front and center
- Show real-world usage with custom commands and CLAUDE.md
- Emphasize human-controlled checkpoint management
- Highlight shared memory board feature for parallel sessions
- Demonstrate the actual pattern users follow
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <[email protected]>
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@@ -22,6 +22,85 @@ claude mcp add memory-keeper npx mcp-memory-keeper
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That's it! Memory Keeper is now available in all your Claude sessions. Your context is stored in `~/mcp-data/memory-keeper/` and persists across sessions.
[Continue working until context reset or compact manually]
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User: "Restore from key: authentication-service-checkpoint-20250126-143026"
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AI: "Restored! Continuing OAuth implementation. We completed the token validation, working on refresh logic..."
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```
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**The Pattern:**
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1. Custom command includes instructions to use memory-keeper
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2. AI follows those instructions automatically
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3.**When you notice the conversation getting long, YOU ask Claude to save a checkpoint** (like saving your game before a boss fight!)
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4.**When Claude runs out of space and starts fresh, YOU tell it to restore using the checkpoint key**
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**🎯 Key Feature:** Memory Keeper is a shared board! You can:
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- Continue in the same session after reset
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- Start a completely new session and restore
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- Have multiple Claude sessions running in parallel, all sharing the same memory
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- One session can save context that another session retrieves
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This enables powerful workflows like having one Claude session doing research while another implements code, both sharing discoveries through Memory Keeper!
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## Why MCP Memory Keeper?
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Claude Code users often face context loss when the conversation window fills up. This MCP server solves that problem by providing a persistent memory layer for Claude AI. Whether you're working on complex refactoring, multi-file changes, or long debugging sessions, Memory Keeper ensures your Claude assistant remembers important context, decisions, and progress.
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