Kanwas
Shared context board for teams and agents
Kanwas fills a real gap by focusing on shared context rather than just document collaboration. Its ability to bring human and agent reasoning together on a living board is novel and powerful, especially for product teams. However, it's still early-stage and the depth of agent capabilities will depend on ongoing development.
- Product teams building AI-powered products
- Startups and founders needing rapid context sharing
- Knowledge workers who juggle multiple tools for thinking
- Teams that want their AI agents to understand project context
- Individuals looking for a simple note-taking app
- Organizations that require strict data sovereignty out of the box (Enterprise plan may cover this)
- Teams unwilling to invest time in structuring context initially
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In short
Kanwas — Shared context board for teams and agents. Best for Product teams building AI-powered products, Startups and founders needing rapid context sharing, Knowledge workers who juggle multiple tools for thinking. Free to start; paid plans from $19/mo.
Viability Score
How likely is Kanwas to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Canvas for real work: embed code, docs, tasks, embeds, iframes in one place
- Context graph that compounds boards, notes, tasks, decisions over time
- Agent with your instructions: set rules, workflows, and skills
- Multi-model support: Claude, GPT, Gemini
- Terminal-grade agent without terminal
- Git-backed system of .md files with version history
- Real-time collaboration with permissions
- 1,000+ connections and CLI tool
- No lock-in with transparent filesystem
- Generate structured, execution-ready deliverables
- Compounding knowledge base for better thinking
- Shared context building by learning your business
- Cross-board search and context linking
- Read-only sharing with external stakeholders
- Out-of-box agentic thinking partner
About Kanwas
Kanwas is a shared context board that helps product teams and their AI agents collaborate effectively by storing, updating, and compounding project context in one place. It replaces scattered tools like Claude chats, Obsidian, VS Code, Git, and docs with a unified canvas where teams can create, edit, and share deliverables. Targeted at product teams, founders, and knowledge workers, Kanwas provides a living canvas where you can bring in evidence (user calls, investor conversations, positioning), build pitch decks, get feedback, and iterate rapidly. The platform learns about your business and decisions, building a transparent shared context that both humans and agents can work from. Key capabilities include a canvas for real work (code, docs, tasks, embeds, iframes), a context graph that compounds knowledge over time, agentic instructions that let you set rules and workflows, support for multiple AI models (Claude, GPT, Gemini), real-time collaboration, and a Git-backed system of .md files with version history. Kanwas also offers 1,000+ integrations and a CLI tool. What makes Kanwas different is its focus on shared context rather than simple document sharing. Unlike whiteboards that are session-bound, chat that lacks shared reasoning, or static knowledge bases that aren't thinking spaces, Kanwas turns sessions into living boards that teams can think in together. It amplifies human taste and judgment with AI reasoning and spatial context.
Behind the Verdict
Kanwas is hitting a pain point that many product teams know well: context loss across tools. The idea of a shared context board that learns about your business and decisions is smart, and the ability to embed code, docs, tasks, and iframes on one canvas is genuinely useful. We'd reach for this when we need to collaborate on complex deliverables that require both human judgment and AI reasoning, like strategy documents or pitch decks. That said, Kanwas isn't for everyone. If you're an individual looking for a simple note-taking app, it's overkill. And if your team isn't willing to invest time in structuring context upfront, the compounding knowledge base won't deliver its magic. Also, while the free tier is generous, organizations with strict data sovereignty requirements may need the Enterprise plan, which is priced on contact. Compared to tools like Notion or Miro, Kanwas differentiates by making context persistent and agent-aware. Notion is a great wiki, but it doesn't actively learn from your decisions. Miro is great for whiteboarding sessions, but sessions are ephemeral. Kanwas tries to be the permanent brain that both you and your AI agents share. The Git-backed .md files and CLI tool also appeal to teams that want to avoid lock-in. In practice, the real test is whether Kanwas can actually reduce the number of tools your team juggles. The 1,000+ integrations and CLI pull in context from other tools, but that still assumes you're using those tools. The promise is that over time, Kanwas becomes your primary thinking space. If it delivers on that, it's a strong buy for product teams. If not, it's just another canvas tool. The product is still early, so watch for agent capability depth and integration reliability.
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Use Cases
- Build a pitch deck collaboratively using user call notes and investor conversations, closing funding faster.
- Create a living product spec that agents can reference to ensure consistency across features.
- Centralize all customer feedback, decisions, and research to generate data-backed product roadmaps.
- Share a read-only board with external stakeholders for alignment without exposing internal work.
- Use the agent to draft release notes or changelogs based on the latest context from your boards.
- Compile a competitive analysis by pulling in web articles, internal notes, and team discussions into one board.
Models Under the Hood
as of 2026-07-16
Limitations
- While the free plan supports up to 3 team members, larger teams need the Pro or Enterprise plans.
- The context graph grows over time, so initial setup may feel sparse.
- The agent's reasoning capabilities are powerful but may require careful instruction tuning for best results.
- As a newer tool, the ecosystem of community resources is still growing.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
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