v1.0 — Local-first AI workspaceNo cloud. No tracking.

Your Private AI Workspace.
Fully Local. Fully Yours.

A local-first AI system for document ingestion, semantic retrieval, grounded chat, knowledge graphs, and offline model control — built for developers who care about privacy.

localmind_os_desktop_v1.0.4
Local host active
📁 Document Store2 files

medical_records_2026.pdf

1.4 MBIndexed

financials_q4_confidential.csv

840 KBIndexed
Vector Index:FAISS
Total Chunks:142
Grounded Chat Console✓ Trust Guard Active
What was our Q4 operating profit margins?
According to your local file [financials_q4_confidential.csv](doc-1), Q4 operating profit margins stood at 28.4% (up 2.1% Q-o-Q), with a net operating profit of $1,240,500. This calculation excludes one-off depreciation charges.
Sources cited:financials_q4_confidential.csv
⚙️ Model Manager
📊 Performance Monitor
GGUF Engine:llama.cpp
Active RAM:5.8 GB
Inference speed:24.5 t/s
Context Window:8K
Metal/Vulkan GPU Enabled
CAPABILITIES

Everything you need. Nothing you don't.

A complete local AI stack — retrieval, chat, graph, and evaluation — packaged as a single workspace.

Privacy-first

Everything runs locally. No external APIs, no telemetry, no leaks.

Semantic Search

FAISS + SentenceTransformers embeddings deliver instant, intent-aware retrieval.

Grounded Chat

Every answer comes with inline citations and a strict trust-mode toggle.

Knowledge Graph

Auto-build a navigable graph from your docs to explore entities and relations.

Model Switching

Hot-swap GGUF models via llama.cpp — pick speed, accuracy, or context size.

Evaluation Metrics

Built-in MRR, Top-K, and grounded-accuracy scoring for your retrieval pipeline.

ARCHITECTURE

An end-to-end local pipeline.

From the moment a document is dropped in until a grounded answer streams back — every step runs on your machine.

Frontend

Next.js • UI

Backend

FastAPI • Python

Embeddings

SentenceTransformers

Vector DB

FAISS

LLM

llama.cpp • GGUF

Next.jsFastAPIFAISSSentenceTransformersllama.cppTypeScriptTailwind

See it in action.

Walk through every surface of LocalMind OS — from dropping docs in to chatting with citations.

workspace.local / upload

Drop documents here

PDF • DOCX • MD • TXT • HTML

RECENT

research-paper.pdf

2.4 MB

Indexed

q3-contract.docx

684 KB

Embedding

meeting-notes.md

12 KB

Indexed

⚖️ Feature Parity

Why Local-First AI is the future.

Feature SetLocalMind OSCloud-Based AI
Privacy & Data Security
100% Secure (Local user-space storage)
Exposed (Subject to terms & server leaks)
Offline Capabilities
Fully Functional (Air-gapped operation)
Disabled (Requires persistent internet)
Operational Cost
Zero Cost (Runs on local GPU/CPU)
Subscription / Usage API Billings
Inference Control
Full Ownership (Custom parameters & weights)
Restricted (Model behavior updates arbitrary)
Hardware Utilization
Direct (Optimized via Vulkan/Metal runtimes)
Indirect (Requires high bandwidth)
Guaranteed data sovereignty. Fully compliant with GDPR/HIPAA air-gap mandates.100% OWNER-CONTROLLED
TEAM PROFILE

Meet the innovators behind LocalMind OS.

We are a 5-member team dedicated to developing secure, off-line, local-first artificial intelligence tools.

LocalMind OS 5-Member Core Team

LocalMind OS Core Team

V1.0 Dev Hackathon Deployment

workspace_team_manifest.sh
$ whoami --team5_core_architects
$ project_targetprivate_local_inference
$ active_membersHrutin, Tarun, Vinay, Kusuma, Sathwik
🔧 Core Team & Expert Focus

Nammi Hrutin

TEAM LEAD

Team Lead & AIML Architect

GGUF model pipelines, context windows, FAISS index tuning.

Komati Tarun

LEAD FULL STACK

Lead Full Stack & RAG Dev

Next.js workspace environment, interactive SVG entity graphs.

Kalacharla Vinay

BACKEND

Backend & Inference Specialist

FastAPI gateway setup, llama.cpp multi-threading coordinates.

Ch Kusuma Sri

DATA PIPELINE

Data Pipeline & Graph Engineer

Semantic parsing pipelines, local NLP entity extractors.

K Mano Sathwik

UI/UX

UI/UX & Performance Engineer

CSS frosted frames, framer-motion curves, page load indexing.

📬 Direct Inquiry

Let's build secure products together.