Kanwas
Shared context board for teams and AI agents to compound knowledge and produce sharp deliverables.
Kanwas is a promising context brain for teams that want AI agents to work from shared reality. The spatial canvas and context graph are genuinely useful, and the multi-model support plus CLI set it apart from simple note apps. But it's early — validate agent depth and data controls before betting your workflow on it.
Verified 2d ago · liveness 69/100 · cite: rightaichoice.com/tools/kanwas
- Product teams building AI-powered products
- Startups and founders needing rapid context sharing
- Knowledge workers juggling multiple tools for thinking
- Teams that want AI agents to understand project context
- Individuals looking for a simple note-taking app
- Organizations that require strict data sovereignty out of the box (check Enterprise)
- Teams unwilling to invest time in structuring context initially
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Skip Kanwas if you're an individual looking for a quick note-taking app, or if you're not prepared to invest time in structuring your context from day one—the value compounds only with sustained use.
The free plan includes only 3 boards and 5 members; you'll need Pro at $19/user/month for unlimited boards and full features.
Kanwas starts at $0 with limited boards, then $19/user/month for Pro, which is competitive with Notion's $10-15/user but adds AI context features. For teams needing SSO, Enterprise pricing is custom, similar to Notion's Enterprise tier.
In short
Kanwas — Shared context board for teams and AI agents to compound knowledge and produce sharp deliverables. Best for Product teams building AI-powered products, Startups and founders needing rapid context sharing, Knowledge workers juggling multiple tools for thinking. Free to start; paid plans from $19/user/mo.
What's new in Kanwas
Checked 8 days agoAcross the latest 1 update: 1 news mention.
Viability Score
How well maintained and how widely used is Kanwas? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Spatial canvas for code, docs, tasks, embeds, and iframes
- Context graph linking boards, notes, tasks, and decisions
- Agent with custom rules, workflows, and skills
- Multi-model support: Claude, GPT, Gemini
- Terminal-grade agent without terminal
- Git-backed .md files with version history
- Real-time collaboration with permissions
- Read-only sharing for external stakeholders
- 1,000+ integrations and CLI tool
- Generated structured, execution-ready deliverables
- Compounding knowledge base
- Supports convergent and divergent thinking
- Browser-based, no download required
- Transparent filesystem, no lock-in
- Cross-board search and context linking
About Kanwas
Kanwas is a teamwork and AI context platform that gives product teams one shared place to create, edit, and compound product context across code, docs, tasks, embeds, and iframes. Built for product teams, founders, and knowledge workers, it replaces the scramble across Claude chats, Obsidian, VS Code, Git, and docs with a spatial canvas that doubles as a context graph. Every board, note, task, and decision links together, turning sessions into a living knowledge base that gets smarter with each iteration. The built-in agent follows your rules, workflows, and skills, and you can choose the model that fits your team — Claude, GPT, Gemini — without forcing anyone into a terminal. Every document is stored as a plain .md file with Git-backed version history, giving you transparency and no lock-in. Real-time collaboration with permissions and read-only sharing keeps external stakeholders in the loop, while 1,000+ integrations plus a CLI pull context from your existing toolchain. Kanwas is designed for convergent and divergent thinking alike. It recognizes that AI nails code but fumbles strategy — and it aims to fix that by giving AI the shared context it needs to match your taste. The latest thinking (August 2026) doubles down on why AI struggles with divergent tasks and how Kanwas's spatial, shared context bridges that gap. Compared to Notion or whiteboards, Kanwas doesn't just store content — it's a thinking space that compounds. It's a bet on teams that want AI agents working from real shared context, not isolated chats.
Behind the Verdict
Kanwas makes a strong pitch for teams drowning in scattered context — Claude chats, Obsidian notes, VS Code files, and a dozen docs. If that's you, the shared canvas and context graph feel like a relief. The agent that follows your rules and workflows is a step up from raw chat, and the Git-backed .md files mean you're not locked into a proprietary format. That's a real advantage over Notion or Coda, which keep your data in their world. But here's the catch: Kanwas is early-stage. The agent is powerful in theory, but depth is unproven. You'll need to invest time structuring your context — boards, notes, decisions — before the compounding effect kicks in. If you're a solo note-taker, this is overkill; a simple app like Notion or Apple Notes does the job. If you're a heavy engineering team, you might already live in VS Code plus Git and find Kanwas's canvas redundant. When should you pick Kanwas? If your team is building AI-powered products and wants AI agents that understand your project context beyond isolated prompts. Startups and founders who need to align on positioning, user calls, and investor conversations will appreciate the living board — one founder credited Kanwas for closing a €4.6M pre-seed after building a pitch deck on it. Where it bites: organizations with strict data sovereignty need to check Enterprise controls. And if you're not ready to maintain shared context as a habit, the board goes stale fast. Compared to Obsidian with Git, Kanwas is more approachable but less customizable. In practice, think of Kanwas as a pilot project — run a small team through a real sprint, see if the agent produces deliverables that match your taste, then scale. The multi-model support (Claude, GPT, Gemini) is a plus; you're not tied to one vendor. And the CLI opens
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Real-world workflow fit
Concrete scenarios for the personas Kanwas actually fits — and what changes day-one when you adopt it.
Gathering user feedback and investor notes to define next quarter's roadmap.
Outcome: Centralizes all calls, notes, and decisions into a board, uses the agent to draft roadmap, and shares read-only with stakeholders for alignment.
Collecting customer testimonials and financial data to build a compelling investor presentation.
Outcome: Imports evidence into boards, uses agent to generate structured pitch sections, and collaborates with co-founders in real-time to finalize.
Tracking specs, tasks, and design docs across multiple teams.
Outcome: Uses canvas to embed code and design files, links tasks to decisions, and leverages Git-backed history for version control.
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 2026-09-01
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 require careful instruction tuning for best results.
- As a newer tool, the ecosystem of community resources is still growing.
as of 2026-08-25
Verification history
We have re-verified Kanwas 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
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.
Plans compared
For each published Kanwas tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Small teams of up to 5 members exploring collaborative context sharing with basic board limits.
What this tier adds
Free tier offers up to 3 boards, basic context graph, and agent with standard models, with Git-backed .md export.
Pro
$19/mo per user
Ideal for
Growing product teams and startups that need unlimited boards and advanced agent capabilities.
What this tier adds
Adds unlimited boards, advanced context graph, custom agent instructions, all models, full permissions, and CLI integrations.
Enterprise
Contact us
Ideal for
Organizations with strict security and compliance needs, requiring SSO and custom data residency.
What this tier adds
Includes SSO/SAML, dedicated support, custom data residency, advanced audit logs, and onboarding assistance.
Where the pricing makes sense
The company stage and team size where Kanwas's pricing actually pencils out — and where peers do it cheaper.
Kanwas starts at $0 with limited boards, then $19/user/month for Pro, which is competitive with Notion's $10-15/user but adds AI context features. For teams needing SSO, Enterprise pricing is custom, similar to Notion's Enterprise tier.
Setup time & first value
How long it actually takes to get something useful out of Kanwas — broken out by persona, not the marketing-page minute.
For a small team of 3, you can set up your first board and invite members within 10 minutes. For full context structuring and agent workflow configuration, expect 1-2 hours. For large teams with complex permissions, plan for a half-day to set up Enterprise features.
Switching to or from Kanwas
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Notion: Export your pages as markdown and import into Kanwas boards; context graph will link them automatically.
- ↗To Notion or Obsidian: Since Kanwas stores data as plain .md files, you can export and import into any markdown-based tool.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Kanwas
Common stack mates teams adopt alongside Kanwas, with the specific reason each pairing earns its keep.
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Pieces for Developers
AI memory layer that auto-captures your work into a searchable timeline and feeds context to MCP-ready AI tools
Featured Head-to-Head Comparisons
Kanwas vs Presto Voice
These tools serve entirely different purposes: Presto Voice automates drive-thru ordering for QSR chains with proven ROI (up to 6% revenue lift), while Kanwas is a collaborative context board for teams using AI agents. Your choice depends purely on whether you run a fast-food chain or a product team.
Kanwas vs Locus Robotics
Locus Robotics and Kanwas serve entirely different needs. If you run a warehouse struggling with picking productivity and labor costs, Locus Robotics' AMR fleet with Physical AI can deliver a clear ROI. If you're a product team trying to get your AI agents to truly understand your project's context, Kanwas' shared context board is more relevant. Choose based on your operational domain, not feature overlap—there is none.
Kanwas vs Truleo
Truleo and Kanwas serve entirely different domains. Truleo is a specialized law enforcement intelligence tool that connects siloed data (jail calls, body cameras, RMS) to automate lead generation and reduce report writing time. Kanwas is a collaborative context board for product teams and AI agents, enabling projects to store and compound knowledge with multi-model AI support. Choose Truleo if you are a police department; choose Kanwas for team brainstorming and agent-driven development.
Alternatives to Kanwas
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Frequently Asked Questions
Best-of guides
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