Kanwas is a shared context workspace for product teams and AI agents. According to its official introduction, it aims to solve the problem of AI performing poorly in "divergent" work such as strategy and product decision-making, by providing a unified place for teams and agents to create, edit, share, and accumulate product context.
Purpose
Kanwas's core purpose is to serve as the "team's context brain." It keeps strategy documents, market signals, and agent workflows connected, enabling AI to execute tasks based on the team's real context. According to the official description, teams no longer need to juggle Claude chats, local folders, Obsidian, VS Code, Git, and various documents at the same time; instead, they can manage product context in one workspace.
Main Capabilities
- Build shared context: Build transparent shared context by understanding users, the business, and decisions.
- Canvas + shared context: Teams and agents collaborate on the same context, with evidence, ideas, and trade-offs transparent to everyone.
- Quickly generate deliverables: Generate structured, actionable deliverables for each implementation stage within minutes.
- Compounding knowledge base: Every decision and outcome makes the next round of thinking and deliverables better than the last.
- Simple feature list: The official description mentions a simple feature list, but the provided materials do not elaborate on specific feature items.
How to Use
The officially described usage includes: teams bring user calls, investor conversations, and positioning information into Kanwas, then build presentations, share, get feedback, and iterate. The materials do not provide specific installation commands, code, or detailed operating steps.
Applicable Scenarios
- Product teams need to manage strategy documents, market signals, and agent workflows in a unified way.
- Teams want to collaborate with AI agents on the same context, rather than each using isolated chat and document tools.
- Need to quickly generate structured, actionable deliverables, such as presentations, strategy documents, and more.
- Want to build a knowledge base that continuously compounds and strengthens with use.
Limitations
The official materials do not provide clear information about pricing, cost, platform support, specific feature details, or technical limitations. The materials emphasize that AI has structural limitations in divergent work (such as product strategy), and Kanwas is positioned as providing a context workspace, rather than replacing human judgment.
