Kanwas

Kanwas is a context-first AI workspace that acts as a shared brain for product teams and agents. It combines a spatial canvas, a compounding knowledge graph, and model-agnostic AI agents that learn a team’s rules, workflows, and history. Instead of scattered chats, static docs, and forgotten whiteboards, Kanwas pulls code, tasks, research, conversations, and decisions into one Git-backed space where humans and agents reason over the same context. It targets product managers, founders, and cross-functional product teams that want sharper strategies, PRDs, and roadmaps without losing the human.

What is Kanwas? Kanwas is a context-first AI workspace that acts as a shared brain for product teams and agents. It combines a spatial canvas, a compounding knowledge graph, and model-agnostic AI agents that learn a team’s rules, workflows, and history. Instead of scattered chats, static docs, and forgotten whiteboards, Kanwas pulls code, tasks, research, conversations, and decisions into one Git-backed space where humans and agents reason over the same context. It targets product managers, founders, and cross-functional product teams that want sharper strategies, PRDs, and roadmaps without losing the human taste that makes those decisions distinct. Key Features: Context-aware AI agents: Agents read boards, notes, tasks, and connected tools to draft strategies, specs, and research that reflect actual product history. Canvas for real work: Code, docs, tickets, embeds, and iframes live together on a spatial board so thinking, discussion, and AI automation happen in one place. Compounding context graph: Boards, notes, tasks, and decisions feed a graph that makes future recommendations and drafts progressively better aligned with prior choices. Model-agnostic stack: Teams can plug in Claude, GPT, Gemini, and other models while keeping the same workspace, prompts, and workflows. Git-backed markdown storage: Every document is a plain.