Qualixar film / 4:04
74.8% on the AI Memory Benchmark — No Cloud, No GPU
SuperLocalMemory V3 achieves 74.8% on the LoCoMo benchmark with data staying entirely on your device — the highest local-first score reported. 87.7% in full-power mode.
🔗 Install now: npm install -g superlocalmemory
📄 Paper: https://arxiv.org/abs/2603.14588
⭐ GitHub: https://github.com/qualixar/superlocalmemory
🌐 Website: https://superlocalmemory.com
━━━━━━━━━━━━━━━━━━━━━━━━━━━
⏱️ CHAPTERS
━━━━━━━━━━━━━━━━━━━━━━━━━━━
0:00 Introduction — The memory problem
0:25 Why standard memory systems fail at scale
0:55 Technique 1: Fisher-Rao Geodesic Distance
1:25 Technique 2: Sheaf Cohomology for consistency
1:55 Technique 3: Riemannian Langevin dynamics
2:20 The 4-channel retrieval architecture
2:45 LoCoMo benchmark results
3:10 Three operating modes (A, B, C)
3:30 Installation and MCP setup
3:50 Research contributions and open questions
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🧮 WHAT MAKES V3 DIFFERENT
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Every AI memory system uses cosine similarity. It works. It degrades at scale.
SuperLocalMemory V3 replaces heuristics with three mathematical techniques:
1. Fisher-Rao Geodesic Distance — confidence-weighted retrieval on statistical manifolds. Memories improve with use. Removing this drops multi-hop accuracy by 12 percentage points.
2. Sheaf Cohomology (H¹(G,F) = 0) — global contradiction detection algebraically. No O(n²) pairwise checking. Scales with graph size, not memory count.
3. Riemannian Langevin Dynamics — self-organizing memory lifecycle on the Poincaré ball. No hardcoded "archive after 30 days" thresholds. Provably converges to optimal state distribution.
━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 LOCOMO BENCHMARK RESULTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━
EverMemOS: 92.3% (cloud required, proprietary)
MemMachine: 91.7% (cloud required, proprietary)
SLM V3 Mode C: 87.7% (our full-power mode, MIT)
Zep: ~85% (cloud required)
★ SLM V3 Mode A: 74.8% (ZERO CLOUD — data stays local)
Mem0: ~64% (cloud required, $24M funded)
SLM V3 Zero-LLM: 60.4% (no LLM at any stage — world first)
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🔒 THREE OPERATING MODES
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Mode A — Local Guardian: Zero cloud. EU AI Act compliant by architecture. 74.8% LoCoMo.
Mode B — Smart Local: Mode A + local Ollama LLM. Still fully private.
Mode C — Full Power: Cloud LLM synthesis. 87.7% LoCoMo. Maximum accuracy.
━━━━━━━━━━━━━━━━━━━━━━━━━━━
🚀 GET STARTED IN 60 SECONDS
━━━━━━━━━━━━━━━━━━━━━━━━━━━
npm install -g superlocalmemory
slm setup
slm remember "This project uses uv not pip"
slm recall "package manager"
slm dashboard
Works with Claude Code, Cursor, VS Code Copilot, Windsurf, ChatGPT Desktop, Gemini CLI, and 17+ more tools via MCP.
━━━━━━━━━━━━━━━━━━━━━━━━━━━
📚 RESEARCH & LINKS
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Paper (arXiv): https://arxiv.org/abs/2603.14588
Paper (Zenodo): https://zenodo.org/records/19038659
GitHub: https://github.com/qualixar/superlocalmemory
npm: https://www.npmjs.com/package/superlocalmemory
PyPI: https://pypi.org/project/superlocalmemory/
Website: https://superlocalmemory.com
EU AI Act page: https://superlocalmemory.com/eu-ai-act
vs Mem0 comparison: https://superlocalmemory.com/alternatives/mem0
━━━━━━━━━━━━━━━━━━━━━━━━━━━
ℹ️ ABOUT
━━━━━━━━━━━━━━━━━━━━━━━━━━━
Independent research by Varun Pratap Bhardwaj
Part of Qualixar — https://qualixar.com
ORCID: 0009-0002-8726-4289
MIT License. Free forever. No accounts. No telemetry.
#SuperLocalMemory #AIMemory #LocalAI #OpenSource #MachineLearning #InformationGeometry #EUAIAct #ClaudeCode #CursorAI #LLM #AgentMemory #ZeroCloud #PrivacyFirst #Developer #AIInfrastructure
- Published
- 2026-03-19
- Runtime
- 4:04
Connecting official YouTube player…
Press play in the official YouTube player. Playback is never started automatically.
Watch on YouTube ↗Evidence status
- Source
- Official Qualixar YouTube
- Playback
- Available here
- Search record
- Evidence complete
Read the full transcript
Welcome to Superlocal Memory V3, the first AI memory system where the mathematics is the intelligence. We're setting a new standard for local-first AI memory [music] with a 74.8% score on Loco Mo in zero cloud mode and 87.7% [music] in full power mode. Your data always stays on your device. Every session currently feels like a blank slate. Whether you open Claude code or cursor, the AI forgets the project [music] context from yesterday. The real problem isn't the model. It's a memory architecture problem. 100% of context [music] is lost between sessions. Existing cloud memory systems like Mem Zero and Zep route [music] context through external servers, introducing 100 to 500 milliseconds of latency per recall. Furthermore, cloud memory raises concerns [music] about privacy, compliance, and cost, especially with the upcoming EU AI Act. We applied mathematics, not more heuristics, replacing [music] common cosine similarity with three techniques from established theory. These include Fisher Rao geodesic distance [music] for accurate, confidence-weighted retrieval, sheaf cohomology for global contradiction detection, >> [music] >> and Riemannian Langevin dynamics for self-organizing memory. Superlocal memory offers three [music] modes. Mode A, local guardian, is EU AI Act compliant by architecture. Mode [music] B, smart local, adds a local LLM while remaining fully private. Mode C, full power, utilizes a cloud LLM for maximum accuracy. You choose the balance and can switch anytime [music] without losing your memories. Superlocal memory works with your entire AI toolkit. It acts as one memory layer for every tool, [music] adding persistent context to all your existing AI coding environments. We support 17+ integrations across code editors, AI assistants, and CLI tools. In a head-to-head comparison, SLMV3 mode A offers a strong LocoMode score of 74.8% [music] with no cloud required and data stored on your device. It is fully EU AI Act compliant by architecture, >> [music] >> offers full offline support, and is open source with an MIT license costing $0. Get started in 60 seconds with one command and zero infrastructure. >> [music] >> Simply install, connect, and remember your context. We are proud to have over [music] 1,400 tests passing, support 17 plus tools, are available under an MIT license, [music] and require zero accounts. The EU AI Act is built [music] in, not bolted on. For data governance, SLM mode A ensures zero transit, [music] meaning data never leaves your device. For GDPR's right to erasure, a simple SLM forget [music] command provides immediate erasure without chasing cloud logs. >> [music] >> Developers are using super local memory for diverse applications. A solo developer uses mode A to ensure their AI knows their project's conventions. [music] An enterprise team achieved rapid legal review with mode A compliance. An AI researcher achieved a 60.4% LocoMode score in mode A without any LLM. Our philosophy is that the math is the contribution, and our product proves it works. >> [music] >> The mathematical techniques used, like Fisher Rao scoring and sheaf cohomology, are open source under MIT, improving retrieval and consistency >> [music] >> in any memory system. Find the details in our paper. Start building better memory today. Install [music] now with npm install -g super local memory or read the paper. Find our code on GitHub, packages on npm and pipi, >> [music] >> all free under the MIT license.
Transcript source: youtube-auto-caption. Use the film as the primary record.