Kanwas

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Shared context workspace for product teams and AI agents to collaborate using specific company data.
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Kanwas 是什么？

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.

Shared context workspace for product teams and AI agents to collaborate using specific company data.

核心功能
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
热门使用场景
  • 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
功能对比
基于工具方提供的信息进行功能对比。
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对比信息仅供参考，请以官方网站的最新信息为准。
如何使用
  • 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.
定价
Kanwas 采用 Freemium 定价模式，价格和功能可能会随时间变化。
Free
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Pro
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Team
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Enterprise
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