Developer launches Satori, an open-source codebase map tool for AI coding agents

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A developer named Hamza has released Satori, an open-source, read-only codebase mapping tool designed to help AI coding agents navigate real-world repositories more efficiently. The tool addresses a common problem where AI agents waste tokens by pulling broad file dumps without gaining a complete or structured understanding of a codebase. Satori integrates with MCP-compatible clients — including Codex, Claude Code, and OpenCode — and exposes a structured investigation path that guides agents from plain-English intent to exact symbol and line reads. It also provides advisory caller and callee context along with freshness warnings to reduce blind or overconfident edits. The project is currently in pre-alpha, with offline support planned, and is available via npm and GitHub.

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