slm-switch-profile

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Switch between memory profiles for context isolation and management. Use when the user wants to change profile context, separate work/personal memories, or manage multiple independent memory spaces. Each profile has its own database, graph, and patterns.

AI & Automation 181 stars 24 forks Updated today AGPL-3.0

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Skill Content

# SuperLocalMemory: Switch Profile Switch between memory profiles to maintain separate contexts for different projects or use cases. ## Usage ```bash slm switch-profile <name> [--create] ``` ## What are Profiles? **Profiles = Isolated Memory Spaces** Each profile has its own: - ✅ **Separate database** - Zero context bleeding - ✅ **Independent knowledge graph** - Profile-specific relationships - ✅ **Unique patterns** - Different coding preferences per profile - ✅ **Isolated history** - No cross-contamination **Think of profiles as workspaces:** - `default` - General use - `work` - Work projects - `personal` - Personal projects - `client-acme` - Specific client work - `experiment` - Testing/learning ## Examples ### Example 1: Switch to Existing Profile ```bash $ slm switch-profile work ``` **Output:** ``` 🔄 Switching profile: default → work Profile Information: Name: work Created: 2026-01-20 Memories: 342 Last Used: 2026-02-05 09:15 ✅ Switched to profile "work" Restart your AI tools (Cursor, ChatGPT, etc.) to use the new profile. ``` ### Example 2: Create New Profile ```bash $ slm switch-profile client-acme --create ``` **Output:** ``` 🆕 Creating new profile: client-acme Profile created successfully! Location: ~/.claude-memory/profiles/client-acme/ Database: memory.db (empty) Status: Active ✅ Switched to profile "client-acme" Next steps: • Start saving memories: slm remember "..." • AI tools will use this profile automatically ``` ### Exam...

Details

Author
qualixar
Repository
qualixar/superlocalmemory
Created
4 months ago
Last Updated
today
Language
Python
License
AGPL-3.0

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