Local-first AI memory with knowledge graphs and hybrid search. 17+ AI tools via MCP. Free.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"superlocalmemory": {
"args": [
"mcp"
],
"command": "slm"
}
}
}Are you the author?
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Every major AI memory system — Mem0, Zep, Letta, EverMemOS — sends your data to cloud LLMs for core operations. That means latency on every query, cost on every interaction, and after August 2, 2026, a compliance problem under the EU AI Act.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'superlocalmemory' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked superlocalmemory against OSV.dev.
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Every other AI forgets. Yours won't.
Infinite memory for Claude Code, Cursor, Windsurf, and any MCP-compatible AI client.
v3.4.25 — Install once. Every session remembers the last. Automatically.
Backed by 3 published research papers (arXiv preprints + Zenodo-archived) · arXiv:2603.02240 · arXiv:2603.14588 · arXiv:2604.04514
+10.6pp vs Mem0 zero-LLM · 85% Open-Domain (best zero-LLM score) · EU AI Act Ready
Every hosted AI memory platform — Mem0 Cloud, Zep Cloud, Letta Cloud, EverMemOS Cloud — sends your data to cloud LLMs by default. Their self-hosted variants exist (Mem0 OpenMemory, Letta self-hosted, Graphiti) but require Docker + a separate graph DB or Ollama config, and most still default to OpenAI until you flip env vars. After August 2, 2026, any of those cloud paths becomes a compliance problem under the EU AI Act.
SuperLocalMemory V3 takes a different approach: mathematics instead of cloud compute. Three techniques from differential geometry, algebraic topology, and stochastic analysis replace the work that other systems need LLMs to do — similarity scoring, contradiction detection, and lifecycle management. The result is an agent memory that ships local-first out of the box — no Docker, no graph DB, no API keys — on CPU.
The numbers (evaluated on LoCoMo, the standard long-conversation memory benchmark). Published numbers as of April 2026:
| System | Score | Config | Cloud LLM required? | Open Source | Source |
|---|---|---|---|---|---|
| EverMemOS | 93.05% | Cloud (proprietary) | Yes | Core only | evermind.ai (Feb 2026) |
| Hindsight (LoComo10) | 92.0% | Cloud | Yes | No | [benchmarks.hindsight.vectoriz |