Show HN: Collaborative context-sharing memory platform for agents and teams (xysq.ai)

A new platform called xysq has been introduced that enables collaborative context-sharing memory for AI agents and teams. This platform captures information from existing tools like Slack and Drive, creating a dynamic knowledge graph that retains institutional knowledge—ensuring that critical insights, decisions, and patterns persist beyond individual team members' roles. By eliminating the need to search through countless documents and threads, xysq centralizes essential team knowledge, allowing AI tools to access relevant context instantly. The significance of xysq lies in its consent-first approach to memory management. Users maintain complete control over their data, as the platform encrypts all memories and ensures cross-agent access is determined by the user’s consent. This transparency fosters trust, as users can see what is remembered and have the option to export or delete memories. With an easy integration process via APIs and SDKs, xysq allows teams to enhance their AI interactions without complex setups, making it a promising tool for optimizing collaboration and knowledge retention in the AI/ML space.