An open-source brain for your team
For you, your agent, your coworker and their agent. It holds the team's critical know-how, research, decisions and data. But it's not a dead storage. It's a workspace that makes the context workable for humans as well as agents.
Kanwas consolidates code, docs, tasks, embeds, and iframes into one canvas with real-time collaboration, Git-backed markdown files, version history, and 1,000+ integrations. This eliminates context switching between Claude chats, VS Code, Git, and documentation tools.
Kanwas allows teams to give agents their rules, workflows, and skills so the agent works according to team-specific instructions. The agent can access the full context graph and work with any model (Claude, GPT, Gemini), enabling execution that reflects actual business context rather than generic patterns.
Kanwas builds structured, execution-ready deliverables for every implementation stage by leveraging the compounding knowledge base and shared context. Teams can reference past decisions, evidence, and trade-offs to produce sharp outputs in minutes rather than hours or days.
Kanwas combines a canvas workspace with an agent that learns team rules, workflows, and skills. It lets teams work alongside agents over the same context, ensuring AI reasoning is grounded in specific company context rather than generic outputs, addressing the gap where LLMs struggle with divergent, judgment-based work.
Kanwas provides a shared context board with a context graph that compounds decisions, outcomes, and knowledge into a living knowledge base. This allows teams to build institutional memory where each decision makes the next thinking and deliverable better, replacing fragmented tools like Obsidian, local folders, and scattered docs.