agentmako vs codescout
agentmako: agentmako is a local-first codebase intelligence engine for AI coding tools. It provides a typed MCP toolset for understanding a project before editing, indexing repos, building SQLite-backed facts, tracking diagnostics and review notes, and returning structured context packets. It aims to help agents answer questions like 'What files matter? What routes, symbols, tables, diagnostics, and prior findings are relevant?'; codescout: codescout is an MCP server that provides AI coding agents with IDE-grade code intelligence, including symbol navigation, semantic search, persistent memory, and workspace-wide artifact tracking. It is optimized for token efficiency and works with Claude Code, GitHub Copilot, Cursor, and any MCP-capable agent. It supports multi-project workspaces and integrates deeply with LSP across 9 languages.
TL;DR
Codebase understanding before editing
Navigate and understand codebases without reading full files
Side-by-Side Comparison
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