Kanwas

Kanwas is a shared context board and workspace designed specifically for product teams and AI agents. It serves as a living 'context brain' that holds a team's critical know-how, research, decisions, and data. Unlike traditional storage or isolated AI chats, Kanwas provides a spatial environment (canvas) where humans and AI agents collaborate. It integrates strategy docs, market signals, and agent workflows, allowing AI to execute tasks using real, specific company context rather than generic training data. The system is built on a Git-backed filesystem using plain .md files to ensure transparency and prevent vendor lock-in.

How to Use

Users start by connecting their existing tools like Slack, Linear, or Notion to pull in context. They use the canvas to organize docs, code, and tasks. Teams can then use AI agents, providing them with specific instructions and rules, to generate execution-ready deliverables based on the accumulated knowledge stored in the workspace.

Key Features

• Shared context board for teams and agents
• Spatial canvas for docs, code, tasks, and iframes
• Git-backed system of plain .md files with version history
• Agentic thinking partner with custom instructions and model choice (Claude, GPT, Gemini)
• 1,000+ tool connections and CLI tool for context ingestion
• Real-time collaboration and permission controls
• No-lock-in transparent filesystem

Use Cases

• Drafting PRDs and strategy documents with specific product nuances
• Turning user calls and investor feedback into living product context
• Collaborative brainstorming where human taste meets AI reasoning
• Automating routine PM tasks like status updates and meeting synthesis
• Building and iterating on pitch decks and roadmaps

FAQ

Can I use different AI models with Kanwas? Verdent Build Your Product With Plain Words In Minutes