Search Results for "privacy"
Sort By:
Showing 21 open source projects for "privacy"
View related business solutions-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
1
Obscura
The headless browser for AI agents and web scraping
Obscura is a security-focused project aimed at providing tools and techniques for enhancing privacy, anonymity, and operational security in digital environments. It is designed for users who need to obscure their digital footprint and reduce traceability across systems. The project typically includes utilities for masking identity, managing secure communication, and mitigating surveillance risks. It emphasizes practical implementations of privacy-preserving workflows rather than purely theoretical approaches. ... -
2
Meetily
Privacy first, AI meeting assistant with 4x faster Parakeet/Whisper
This project is a privacy-first AI meeting assistant that captures meeting audio, produces real-time transcripts, and generates summaries while keeping processing entirely on your own machine or infrastructure. It’s built for organizations that want meeting intelligence without sending recordings or transcripts to third-party cloud services, which helps address compliance and data sovereignty requirements. -
3
OpenShell
OpenShell is the safe, private runtime for autonomous AI agents.
...Each agent runs inside a containerized sandbox governed by declarative YAML security policies that control network access, file permissions, and process behavior. The platform includes a gateway service that manages sandbox lifecycles and routes AI inference requests through controlled providers. OpenShell also features a privacy-aware routing system that prevents sensitive information from leaving the sandbox environment. By combining container isolation, policy enforcement, and agent orchestration, OpenShell offers a secure infrastructure for developing and operating AI agents. -
4
GaiaNet
Install and run your own AI agent service
...Put your knowledge to work and watch it evolve by creating a node on Gaia or by contributing to a domain supporting an existing knowledge base. Gaia’s decentralized platform ensures robust protection for user data and IP. Gaia allows secure ownership and monetization of IP without compromising privacy. Gaia’s living knowledge organisms continuously adapt and grow in real-time, keeping solutions relevant and cutting-edge. Developers can build applications that evolve and improve over time. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
5
Tabby
Self-hosted AI coding assistant
Tabby is an open-source, self-hosted AI coding assistant that provides code completion and suggestions within your preferred development environment. It enhances developer productivity by leveraging machine learning models to predict and generate code snippets. -
6
DeepProve
Framework to prove inference of ML models blazingly fast
DeepProve is an advanced cryptographic framework designed to verify machine learning model inference using zero-knowledge proofs, enabling trustless validation of AI computations without exposing underlying data. The project focuses on zkML, a rapidly emerging field that combines machine learning with zero-knowledge cryptography to ensure both privacy and correctness. It supports neural network architectures such as multilayer perceptrons and convolutional neural networks, allowing developers to prove that a model’s output is correct without revealing inputs or model details. deep-prove leverages advanced proof systems such as sumcheck protocols and GKR-based constructions to achieve significantly faster proving times compared to earlier approaches. ... -
7
Refact Agent
WebUI for Fine-Tuning and Self-hosting of Open-Source LLMs
Refact is an AI-powered code assistant designed to enhance software development workflows. It integrates with code editors and provides suggestions, refactoring assistance, and debugging insights. -
8
Goose
AI coding agent that's more than suggestions - install, execute, edit+
Goose is an open-source, extensible AI agent that enhances the software development process by going beyond traditional code suggestions. It allows developers to install, execute, edit, and test code with any large language model (LLM), facilitating a more efficient and streamlined workflow. Designed to operate locally within a developer's environment, Goose integrates seamlessly with various tools and platforms, providing a customizable and powerful assistant for coding tasks. Its... -
9
CocoIndex
ETL framework to index data for AI, such as RAG
CocoIndex is an open-source framework designed for building powerful, local-first semantic search systems. It lets users index and retrieve content based on meaning rather than keywords, making it ideal for modern AI-based search applications. CocoIndex leverages vector embeddings and integrates with various models and frameworks, including OpenAI and Hugging Face, to provide high-quality semantic understanding. It’s built for transparency, ease of use, and local control over your search... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
10
Paddler
Open-source LLM load balancer and serving platform for hosting LLMs
...It supports running models locally through engines such as llama.cpp while distributing requests across multiple compute nodes to improve performance and reliability. The architecture is designed with privacy and cost control in mind, making it suitable for organizations that handle sensitive data or require predictable operational costs. Paddler also includes tools for monitoring, request buffering, and autoscaling integration so that deployments can adapt dynamically to changing workloads. A built-in administrative interface allows developers and operations teams to manage models, observe system performance, and test inference endpoints. -
11
IronClaw
IronClaw is OpenClaw inspired but focused on privacy & security
IronClaw is a security-first, open-source personal AI assistant built in Rust and designed to keep your data fully under your control. It operates on the principle that your AI should work for you, not external vendors, ensuring all data is stored locally, encrypted, and never shared. The platform emphasizes transparency, offering auditable code with no hidden telemetry or data harvesting. IronClaw runs untrusted tools inside isolated WebAssembly (WASM) sandboxes with strict capability-based... -
12
Floneum
Instant, controllable, local pre-trained AI models in Rust
Floneum is an open-source platform for building AI-powered workflows using large language models through a visual and extensible interface. The system allows users to design complex AI pipelines using a drag-and-drop workflow builder rather than writing extensive code. It focuses on enabling developers and researchers to create language model applications that combine different tools, data sources, and AI capabilities into automated workflows. Floneum supports a plugin architecture that... -
13
Note67
A private, local meeting notes assistant
note67 is a private, local meeting notes assistant application that combines audio capture, transcription, and AI-powered summarization to help users document conversations and meetings on their own devices without relying on cloud services. Built with a cross-platform architecture using Rust (via Tauri) for backend logic and a TypeScript/React frontend, it prioritizes privacy by performing audio transcription locally with Whisper models and generating summaries with locally-hosted AI, eliminating the need to send sensitive meeting content to external servers. Users can record meetings directly from their microphone, view live transcriptions, filter by speaker, and export structured summaries, making it useful for professionals who need searchable, organized records of discussions. ... -
14
Forge Code
AI enabled pair programmer for Claude, GPT, O Series, Grok, Deepseek
...Rather than requiring a separate UI or web-based IDE, Forge respects the developer’s existing habits and setups, and keeps all operations local, ensuring your code doesn’t get sent to unknown external services — a strong point for privacy and security. It supports many model providers (e.g. GPT, Claude, Grok, and others) via API keys. -
15
webclaw
Fast, local-first web content extraction for LLMs
...Webclaw also provides advanced capabilities such as recursive crawling, structured JSON extraction, summarization, and content comparison, making it suitable for research and data pipelines. Its local-first architecture ensures privacy and eliminates the need for API keys. -
16
DeepReasoning
High-performance API combining reasoning and creative AI models
...Built with Rust, the backend focuses on performance, low latency, and efficient resource usage for demanding workloads. It follows a bring-your-own-key approach, giving users full control over their API credentials and data privacy. Additionally, it supports self-hosting and extensive configuration, making it suitable for developers who want flexibility and control. -
17
Moltis
A Rust-native claw you can trust
...It compiles the entire assistant stack, including the web interface, model routing, memory, and tools, into a single self-contained binary with no external runtime dependencies. The system supports multiple large language model providers alongside local models, enabling users to maintain privacy while still accessing cloud capabilities when needed. Moltis emphasizes security through sandboxed execution environments, where commands and browsing tasks run in isolated containers and require explicit approval. The platform also includes long-term memory powered by hybrid vector and full-text search, allowing the assistant to retain context across sessions. ... -
18
Voconly
Free, open-source, fully offline speech-to-text tool for Windows.
...No cloud dependency. Your voice stays on your device. Unlike cloud-based voice input software, voconly keeps all audio data local—no uploads, no internet required, complete privacy. Powered by local AI, it combines real-time speech recognition with on-device LLM post-processing. Supports multiple ASR models (Qwen-ASR, SenseVoice, Whisper, Parakeet) and offers customizable refinement modes: auto-polishing, professional formatting, cross-language translation. Perfect for privacy-conscious users, developers, writers, and professionals handling sensitive content. ... -
19
Flow Teleprompter
A Windows first teleprompter with voice tracking and AI drafting.
... - Invisible Overlay: Keep your script visible to you while remaining invisible during screen sharing and video calls. - Real-Time Web Collaboration: Let guests edit scripts live from their browser via WebRTC (PeerJS). - Local-First Privacy: 100% offline data security, 8-language localization, and multi-monitor support. -
20
Shinkai: Local AI Agents
Shinkai allows you to create advanced AI (local) agents effortlessly
...Key Features: - No-Code Agent Creation - Build specialized agents (trading bots, sentiment trackers, etc.) with simple descriptions - Multi-Agent Collaboration - Agents work together to solve complex problems - Crypto Integration - Built-in support for decentralized payments and transactions - Flexible AI Models - Choose from cloud models (GPT-4, Claude) or run locally - Universal Compatibility - Works with Model Context Protocol (MCP) for cross-platform integration - Local Security - Crypto keys and computations stay on your device Shinkai transforms AI from single-task tools into collaborative, autonomous systems that can operate in decentralized networks while maintaining privacy and security. -
21
Blockchain Computer
The sovereignty layer for blockchain and AI systems
Blockchain Computer is the sovereignty layer for blockchain and AI systems. The platform makes identity, consent, privacy, and AI governance native to computation, enabling digital actions to be cryptographically bound to who authorized them, what consent was granted, and which policy rules were enforced. Today's blockchains and AI agents can execute transactions and make decisions, but they often depend on external systems to verify authority, consent, identity, and compliance requirements. ...
- Previous
- You're on page 1
- Next