Everything a product mind needs.

Built for product managers, researchers, analysts, and anyone who uses AI to think and create.

🤖 AI Chat

Context-Aware AI Chat for User Stories & PRDs

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.

  • Claude, OpenAI, Gemini, Ollama support
  • @file referencing — attach context from your project
  • Collapsible thinking process accordion
  • Auto-saved conversation history per project
ProductOS AI Chat interface showing multi-model selection and markdown-based conversation history
⚡ Workflows

Automate Competitive Research & Market Analysis

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.

  • Drag-and-drop canvas workflow builder
  • Parallel processing — handle multiple items at once
  • Sequential & branching step types
  • 6-8 hours of work → 30 minutes
ProductOS Visual Workflow Canvas for automating multi-step AI research processes
🎧 Silent Learner

Autonomous Local Context Engine — Zero Manual Tagging

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.

  • Passive background indexing — zero setup or dataset tagging required
  • Deep project understanding — retains past decisions, meeting context, & team jargon
  • Hybrid SLM + LLM routing — uses fast local models for memory & slashes cloud LLM costs
  • 100% Private — all indexed project memory stays on your local machine
ProductOS Silent Learner autonomous context engine interface
🧠 Skills

Reusable AI agents trained for your tasks

Create specialized AI agent templates — Research Assistants, PRD Generators, Competitive Analysts — and reuse them across projects. Consistent quality, every time.

  • Custom agent roles & output formats
  • Reuse across unlimited projects
  • Share skills with your team
  • Skills marketplace & downloads
ProductOS Skills Library showing reusable AI agent templates for PM tasks
🗂️

Project Management

Organize all your research, chats, and notes by project. Full history always available, always searchable.

🔌

MCP Integrations

Connect GitHub, Jira, Notion, web search, databases — your AI gets real-time access to your tools.

🔐

AES-256 Encryption

API keys stored with military-grade encryption. No data sent to external servers. Your secrets stay yours.

📝

Markdown Native

All data stored as plain Markdown. Git-friendly, human-readable, portable. Zero vendor lock-in.

Native Performance

Built with Rust + Node.js. No browser lag, no bloat. Lightning-fast on macOS, Windows, and Linux.

🤝

Team Collaboration

Share projects, skills, and workflows with your team via Git. Works with any text editor or IDE.

Bring your favorite AI. Connect any tool.

ProductOS works with every major AI provider and integrates with your existing stack via MCP.

AI Providers
MCP Tools

Built for performance and privacy.

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

Everything you need to know.

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.

Looking for answers on pricing, setup, or platforms?

Explore our full knowledge base covering operating system binaries, team setups, and security details.

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