About This Site
Shared context workspace for product teams and AI agents to collaborate using specific company data. 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.
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Key Features AI
Core 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
Advantages
Prevents generic AI outputs by providing specific context
Knowledge compounds over time instead of getting lost in chat history
No vendor lock-out due to markdown-based filesystem
Supports multiple AI models (Claude, GPT, Gemini)
High level of transparency in agent reasoning
缺点：Requires active context building to see maximum value
缺点：Still a relatively new platform (recently launched on Product Hunt)
缺点：May have a learning curve for teams used to traditional linear docs
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30-Day Click Trend
08-22
09-05
09-20
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