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Kanwas
Quiet
#4562 Radar 41

A shared context board for teams and AI agents to compound knowledge.

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Product memo

Provides product teams and their AI agents a centralized workspace for shared context, research, and execution. It moves beyond static documents and chat, creating a living environment where strategic decisions and agent workflows interconnect. This approach enables AI to execute with real team context, building knowledge over time and supporting deeper alignment and sharper deliverables.

For who

Product teams and AI agents

Solves what

Centralized workspace for team context, research, and AI execution.

  • Shared context board
  • AI agent integration
  • Compounding knowledge base

In their own words

Your team's context brain

Kanwas gives teams & agents one place to create, edit, share and compound product context. Stop juggling Claude chats, local folders, Obsidian, VS Code, Git, and docs.

CTA: Get started

Commercial cues

Pricing snapshot subscription pricing

Model

subscription

Free tier

No

Trial

No

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A single advertised tier simplifies initial adoption for new users.
  • The low monthly price targets early-stage teams and smaller budgets.

Operator context

Operating setup

Founded

May 2026

Platform

Web app

Audience

General

Market demand

Kanwas keyword demand

5 keywords

5 keywords
Upgrade to Starter

Market demand is Starter-tier market intelligence.

Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.

Builder Strategy

Strategy Type
Wedge Expand
Stage
Pre Revenue
Effort
Small Team
About Kanwas Expand

Kanwas creates a centralized workspace designed for product teams and their AI agents. It serves as a 'context brain,' moving beyond traditional static documents and chat interfaces.

The platform integrates code, documents, and tasks into a shared context board, allowing AI agents to operate with a deeper understanding of team strategy and decisions. This helps teams achieve greater alignment and produce more refined deliverables by combining human intuition with AI-driven execution, building a compounding knowledge base over time.