FeedLog gives SaaS teams an AI support agent, a shared inbox, and a feedback-to-roadmap loop in one open-source platform they can host themselves. Customers ask questions inside your product through an embeddable widget, and the agent answers from your help center articles, which you mark as approved knowledge before it can use them. When a question needs a person, the conversation moves into a shared inbox with its full context intact, so customers never repeat themselves and your team replies with email notifications keeping the thread alive. The same widget collects bug reports and feature ideas into feedback boards with posts, voting, comments, and status workflows, while similar-feedback detection finds duplicates and merges fragmented requests before they scatter your priorities. Prioritized work becomes a public roadmap showing what is planned, in progress, and completed, and shipped changes close the loop as changelog entries you can draft with AI from your update notes. Guest access, email and password, Google, GitHub, and SSO sign-in options decide how customers identify themselves, and human support guidance routes billing, account, and privacy requests straight to people. An MCP server connects AI assistants to your boards and articles so agents can query and manage feedback in natural language. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.