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Codebase Memory MCP is presented as a local analysis backend for a coding assistant. It indexes repository structure into a persistent graph that agents can query for definitions, call chains and routes before reading individual files. The speaker describes a static binary for macOS, Linux and Windows, with no Docker requirement or API key. The tool contains no embedded language model; the connected agent interprets the user's request.
The setup walkthrough covers shell installers, a Windows PowerShell script and manual archives. After installation, the user restarts the agent and asks it to index the project. Tree-sitter extracts code structure, while hybrid LSP resolution refines relationships for supported languages. SQLite stores the graph locally across sessions. That local storage does not establish how a connected agent handles source code.
The overview covers graph search, snippets, runtime trace ingestion and an optional visualization at localhost port 9749. The speaker cites a benchmark of about 3,400 tokens for five structural queries versus about 412,000 for file exploration. These are reported results, not guarantees for another repository.
Static analysis can miss dynamic behavior, and unsupported language features fall back to textual resolution. The suggested workflow is to query the graph first, then read the exact source before editing. Teams should compare answers with known architecture and measure savings on their own tasks.
