superlocalmemory
by qualixar·★ 150·Score 50
A local-only AI memory system with MCP integration for unlimited memory across AI clients.
Overview
SuperLocalMemory is a privacy-focused AI memory system that operates entirely on your device, sending no data to external APIs or cloud services. It implements advanced mathematical techniques from differential geometry, algebraic topology, and stochastic analysis to provide memory retrieval without requiring external LLM calls. The system offers multiple modes: Mode A (local-only, zero-LLM), Mode B (with optional cloud), and Mode C (with local LLM). It provides dual interfaces as both an MCP server and a CLI tool, with extensive documentation and IDE integrations.
Try asking AI
After installing, here are 5 things you can ask your AI assistant:
When to choose this
Choose SuperLocalMemory when you need persistent memory for AI agents with strict privacy requirements and cannot use cloud services. Ideal for developers working with sensitive code or requiring offline functionality.
When NOT to choose this
Not recommended if you need cloud-based memory sharing across multiple devices, or if you prefer cloud-hosted solutions with simpler setup. The AGPL-3.0 license may also be restrictive for some commercial use cases.
Tools this server exposes
12 tools extracted from the READMEforgetProgrammatic memory archival via lifecycle rules
quantizeTrigger smart compression on demand
consolidate_cognitiveExtract and store patterns from memory clusters
get_soft_promptsRetrieve auto-learned patterns for context injection
reap_processesClean orphaned SLM processes
get_retention_statsMemory lifecycle analytics
rememberStore new information in memory
recallRetrieve information from memory
statusCheck memory system status
warmupPre-download embedding models
migrateMigrate memory data between versions
doctorVerify memory system is working correctly
Comparable tools
Installation
Install via npm (recommended)
npm install -g superlocalmemory
slm setup # Choose mode (A/B/C)
slm doctor # Verify everything is working
slm warmup # Pre-download embedding model (~500MB, optional)Install via pip
pip install superlocalmemoryMCP Integration (Claude, Cursor, Windsurf, VS Code, etc.)
{
"mcpServers": {
"superlocalmemory": {
"command": "slm",
"args": ["mcp"]
}
}
}FAQ
- How does SuperLocalMemory work without cloud LLMs?
- It uses advanced mathematical techniques from differential geometry, algebraic topology, and stochastic analysis to replace the work typically done by LLMs for similarity scoring, contradiction detection, and lifecycle management.
- Which AI clients support SuperLocalMemory?
- It works with any MCP-compatible client including Claude Code, Cursor, Windsurf, VS Code Copilot, Continue, Cody, ChatGPT Desktop, Gemini CLI, JetBrains, Zed, and Antigravity.
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Last updated · Auto-generated from public README + GitHub signals.