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Refactoring the core AutoMaintainer engines to comply with the Model Context Protocol (MCP) as a stdio/SSE server. This milestone enables external AI assistants (like Claude Desktop or Cursor) to seamlessly invoke AutoMaintainer's specialized AST routing and GitHub automation tools.
No due datePackaging the LangGraph agent topology and Tree-Sitter AST mapper into an importable Python SDK (`pip install automaintainer`). Empowers enterprise teams to natively embed the autonomous agent loop into existing CI/CD pipelines, custom deployment scripts, and proprietary internal tools.
No due date•0/1 issues closedDevelopment of a standalone Command Line Interface (CLI). Allows developers to invoke the AutoMaintainer agent team directly from their local terminal (e.g., `am start --issue 45`). Bypasses the need for the web dashboard for advanced local workflows.
No due date•0/1 issues closedMigrates the ephemeral WebSocket telemetry and local JSON state files into a robust, cloud-hosted Supabase PostgreSQL database. This allows for persistent execution logs, historical dashboard analytics, and cross-session agent memory.
No due date•0/1 issues closedThe foundational release of AutoMaintainer. Focuses on transitioning the agent architecture from simple text grepping to deep syntactic understanding using Tree-Sitter ASTs. Includes the creation of the Next.js split-pane Web IDE, real-time WebSocket agent logs, and the integration of the Architect, Visionary, Reviewer, and Implementer LangGraph state machine. (Includes work from Phases 1-4).
No due date•8/13 issues closed