# privacy

Open-source PII detection and anonymization for AI data flows

Presidio is an MIT-licensed privacy framework for identifying and anonymizing personally identifiable information in text, images, and structured data. It can act as a de-identification layer around LLM prompts, logs, RAG corpora, and customer-data workflows.

Session reports for Claude Code and Codex runs

Spotlight by Backplanes turns completed Claude Code and Codex sessions into concise reports for engineering, security, and spend review. The CLI installs on macOS, Linux, or WSL 2, watches sessions after they finish, redacts PII and credentials locally before upload, then summarizes files touched, commands run, external domains reached, scope drift, risky actions, and next-session improvements.

Local-first personal AI agent with memory trees, desktop integrations, and private workspace context.

OpenHuman is an open-source, local-first personal AI agent from TinyHumans. It combines a desktop app, persistent memory trees, Obsidian-compatible storage, OAuth integrations, and local model support into a private assistant harness. It is most interesting for users who want agentic workflows and long-term memory without handing every context detail to a fully cloud-hosted assistant.

MCP-native personal context vault for keeping AI agents aligned with your work, voice, and projects.

Unabyss is a personal context headquarters for AI agents. It syncs sources such as email, Slack, Notion, Drive, meetings, and professional profiles into structured context files that can be served to MCP-capable clients. The strongest angle is not generic note taking; it is permissioned, reusable context for Claude, Cursor, custom agents, and other tools that otherwise need the same background explained repeatedly.

One desktop app for every LLM — private, cross-platform, extensible

Chatbox is a cross-platform desktop AI client supporting OpenAI, Claude, Gemini, DeepSeek, and local models via Ollama. All chat data stays on-device, making it ideal for privacy-conscious developers. Features include document analysis, code assistance with syntax highlighting, image generation, web search, and a local knowledge base for private Q&A. Available on Windows, macOS, Linux, Android, iOS, and web.

Offline speech recognition for 20+ languages

Vosk is an offline speech recognition toolkit supporting 20+ languages with compact 50MB models that run on Raspberry Pi, Android, iOS, and servers. It provides streaming API with zero-latency response, speaker identification, and reconfigurable vocabulary. Vosk offers bindings for Python, Java, Node.js, C#, Go, and Rust. Unlike cloud-based alternatives, all processing happens locally with no internet required. Apache 2.0 licensed with 14K+ GitHub stars.