ArchMind is an AI-powered codebase exploration and engineering knowledge platform that helps developers understand both how a system works and why it was built that way. It brings source code, GitHub history, Jira issues, and Confluence documentation into one workspace, connecting implementation details with the discussions and decisions behind them. Developers can open a repository, select code, and ask questions about its purpose, dependencies, or the impact of a proposed change. An orchestrator coordinates specialized GitHub, Jira, Confluence, and Memory agents to gather context, then combines their findings into an answer with inspectable evidence. An interactive architecture graph lets users explore components and dependencies, inspect individual classes, and jump into the relevant source code. ArchMind also gives teams a way to preserve engineering knowledge through governed memory. Architectural decisions, repository conventions, and team policies can be proposed, reviewed, approved, corrected, or revoked. Approved knowledge can guide future answers, while a comparison view shows how the same question is answered with and without that memory. This makes ArchMind useful for onboarding, investigating unfamiliar code, evaluating changes, and keeping engineering decisions accessible as a project evolves.
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