Kanwas is a collaborative workspace designed to help teams and AI agents work from shared context rather than isolated chats, documents, or whiteboards. It combines canvas-based collaboration, knowledge management, and AI-assisted workflows into a single environment focused on product thinking and strategic work.

The platform positions itself as a “team context brain,” where research, decisions, user insights, tasks, and documents accumulate into a shared knowledge layer that both humans and AI agents can access. Instead of treating AI as a standalone chatbot, Kanwas emphasizes collaborative reasoning over persistent context that compounds over time.

Kanwas combines spatial canvases with AI agents capable of generating deliverables such as PRDs, stakeholder updates, and strategic documents using the accumulated workspace context. Teams can work collaboratively on boards while AI systems reference the same information, trade-offs, and historical decisions.

A major focus of the platform is solving what it describes as the “context problem” in AI-assisted work. The system integrates with tools like Slack, Linear, Notion, codebases, and external services so context can persist across workflows instead of being fragmented across apps and conversations.

The workspace supports documents, code blocks, tasks, embeds, iframes, and markdown-based content stored in a Git-backed system. Kanwas also supports real-time collaboration and model flexibility, allowing teams to use different AI models such as Claude, GPT, and Gemini within the same environment.

Kanwas is designed primarily for product teams and strategic knowledge work, especially workflows where judgment, context, and collaboration matter more than simple content generation.

Key features include:

• Shared context workspace for teams and AI agents
• Spatial canvas for collaborative product thinking and planning
• AI-generated deliverables using accumulated workspace context
• Git-backed markdown document system with version history
• Real-time collaboration and shared reasoning workflows
• Integrations with Slack, Linear, Notion, codebases, and external tools
• Support for multiple AI models (Claude, GPT, Gemini, etc.)
• Context graph that compounds over time through usage
• Agent workflows without requiring terminal-based tools
• Embeds for code, tasks, documents, and external content

Common use cases include:

• Product strategy and roadmap planning
• Collaborative PRD and documentation creation
• Knowledge management for teams and organizations
• AI-assisted product and research workflows
• Capturing institutional context and decision history
• Strategic collaboration between humans and AI agents

Kanwas is positioned as a collaborative “context layer” for AI-native teams, focused on helping humans and agents reason together using accumulated organizational knowledge rather than isolated prompts or static documentation.