Built for product managers, researchers, analysts, and anyone who uses AI to think and create.
Chat with Claude, GPT-4, Gemini, or local Ollama models. Every conversation is automatically saved to your project as a Markdown file — no manual copy-pasting needed, ever again.
Build drag-and-drop workflows that run multi-step AI research automatically. Process competitor lists, analyze documents in parallel, and synthesize results — in minutes, not hours.
Stop wasting hours building datasets, fine-tuning models, or copy-pasting past meeting transcripts before every query. Silent Learner continuously listens to your local project workspace, meeting notes, PRDs, and team vocabulary — building a private local knowledge layer automatically while you work.
Create specialized AI agent templates — Research Assistants, PRD Generators, Competitive Analysts — and reuse them across projects. Consistent quality, every time.
Organize all your research, chats, and notes by project. Full history always available, always searchable.
Connect GitHub, Jira, Notion, web search, databases — your AI gets real-time access to your tools.
API keys stored with military-grade encryption. No data sent to external servers. Your secrets stay yours.
All data stored as plain Markdown. Git-friendly, human-readable, portable. Zero vendor lock-in.
Built with Rust + Node.js. No browser lag, no bloat. Lightning-fast on macOS, Windows, and Linux.
Share projects, skills, and workflows with your team via Git. Works with any text editor or IDE.
ProductOS works with every major AI provider and integrates with your existing stack via MCP.
| Specification | Detail |
|---|---|
| Primary Stack | Node.js Backend + React/TypeScript Frontend |
| Encryption | AES-256-GCM (Military-grade for API keys) |
| Data Format | Plain Markdown (.md) — Human readable and portable |
| Architecture | Local-first, No cloud database required |
| AI Connectivity | Native API (Claude, OpenAI, Gemini) + Local (Ollama) + MCP |
| Supported Platforms | macOS, Windows, Linux |
Can't find the answer you're looking for? Check our documentation on GitHub.
Silent Learner runs locally in the background, indexing meeting notes, PRDs, and project files as you work. It eliminates manual dataset tagging or constant copy-pasting, letting your AI understand team context automatically.
Yes. ProductOS natively supports the Model Context Protocol (MCP), letting you connect your AI to tools like Jira, GitHub, Notion, and Slack for live data queries and automated workflow steps.
Yes. ProductOS connects to Ollama and LM Studio for completely offline, air-gapped AI operations. It can route context memory locally while leveraging cloud LLMs like Claude or GPT-4 only when needed.
Your API keys are stored in your OS native keychain and encrypted with AES-256-GCM. All workspace files are saved directly on your hard drive in human-readable Markdown format with zero cloud tracking.
Explore our full knowledge base covering operating system binaries, team setups, and security details.
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