AI Privacy
Top open-source AI Privacy AI systems, agents, and MCP tools.
Discover and install verified AI Privacy AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (20)
Open in Advanced FilterHit your Claude Code usage limit? Keep going free and offline on a local model: Qwen 3.8, Gemma 4, and Qwen 4 the day it ships. Runs on Apple Silicon Macs (MLX), Linux and Windows (llama.cpp) with no API key. Your code stays home.
Official Brave Search Model Context Protocol server enabling AI assistants to perform web, local, and news searches with privacy preservation.
The Open Source Alternative to Cluely - A lightning-fast, privacy-first AI assistant that works seamlessly during meetings, interviews, and conversations without anyone knowing. Built with Tauri for native performance, just 10MB. Completely undetectable in video calls, screen shares, and recordings.
Privacy-first AI project and Skill feedback loop for Codex and Claude Code—turn corrections into traceable requirements and verified repair plans.
Persistent memory for AI coding agents: automatic capture, explainable recall, knowledge consolidation, privacy controls, and portable offline storage. One Python file, zero dependencies.
Open-source AI desktop assistant — run local or remote LLMs with privacy-first design and zero setup required.
PocketStrike is a privacy-first mobile AI workstation. It combines zero-cloud native on-device GGUF inference (ARM NEON accelerated) │ with frontier cloud LLMs, multi-step ReAct agent tools, Model Context Protocol (MCP) servers, self-evolving cross-session memory, and FLUX neural image │ generation.
PCAP Hunter is an AI threat hunting workbench. It uses Zeek and Tshark to analyze PCAPs, enriched by OSINT. Features include a world map, JA3 forensics, and C2 detection. It generates multi-language security reports via local or cloud LLMs, prioritizing privacy and speed.
The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.
Local-first 3-in-1 AI memory layer & MCP server for Claude Code, Codex, Grok, Gemini, VS Code and Cursor. Fuses session history, codebase indexing & concept graphs in SQLite. Enables zero-cloud, privacy-first context & instant recall, supports multi-agent swarms.
Local-first AI agent trace workbench. Inspect Claude Code, Codex and OTLP logs, compare runs, and export privacy-conscious reports. No backend or API keys.
⚡ A local, privacy-focused AI desktop assistant for Windows. Control your PC remotely via Telegram or locally with Voice commands. Powered by Ollama.
AI API identity gateway — reverse proxy that normalizes device fingerprints and telemetry for privacy-preserving API proxying
xPrivo is the privacy-first AI assistant that you can self-host. No accounts, never. Free as in freedom.
An open-source, privacy-first, self-hosted knowledge workspace where humans and AI agents work together 开源、隐私优先、自托管的知识工作空间,让人与智能体在此协作
A privacy-first app that strips AI watermarks from content you own.
Privacy Code Scanner and Dataflow Context Engine for AI coding agents
M-Courtyard: Local AI Model Fine-tuning Assistant for Apple Silicon. Zero-code, zero-cloud, privacy-first desktop app powered by Tauri + React + mlx-lm.
An AI Agent that lives in your pocket. Local-first and privacy focused.
Complete offline AI ecosystem for Android: Chat (GGUF/LLMs), Images (Stable Diffusion 1.5), Voice (TTS/STT), and Knowledge (RAG Data-Packs), zero subscriptions, no data harvesting. Open-source privacy-first AI on your terms.
Build & Monetize for AI Privacy
Have you created an autonomous agent, MCP server, or Claude Code skill for AI Privacy? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.

