Show HN: Kanwas, open-source shared context board for teams and agents (github.com)

Kanwas has launched as an open-source shared context board designed for collaborative AI work, allowing teams and AI agents to work seamlessly together on a single platform. This multiplayer workspace enables users—from founders to marketers—to consolidate documents, decisions, and project artifacts into a unified canvas, enhancing productivity through shared evidence and transparent collaboration. With features like AI-assisted drafting and traceable claims, Kanwas streamlines workflows across different roles, leading to sharper deliverables in a fraction of the time. The significance of Kanwas lies in its capability to enhance contextual collaboration within AI and machine learning projects, where multiple stakeholders rely on various sources of information. By integrating AI agents into the workflow, Kanwas enhances the decision-making process, allowing teams to generate structured and execution-ready artifacts efficiently. Its docker and Git-backed markdown filesystem ensures flexibility and version control, minimizing vendor lock-in while promoting easier contributions from the open-source community. With Kanwas, teams can expect progressive improvements in their workflow efficiency as each interaction builds on the last, ultimately fostering a more informed and agile working environment.