Standardoc

Your AI agent re-reads your whole codebase on every task. Standardoc
indexes it once into a living map of your code — so the agent just asks.
~100 tokens per question instead of 30k. Local, open-source.

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The problem

Every task, your agent starts from zero: it greps, it reads files, it burns
30k tokens rebuilding context it already had last session. The bigger the
codebase, the worse it gets — more tokens, more drift, more code that looks
like yours but quietly breaks your invariants.

What Standardoc does

It reads your code straight from the syntax tree and keeps a living graph
of it — every symbol, and the typed links between them: who calls who, what
imports what, what implements what. A file watcher keeps it current as you
type.

Your tools query that one graph instead of each re-parsing your code:

• Agents ask over MCP (find_symbol, get_context, find_call_sites, …)
  — ~100 tokens where grep + read cost 30k. Claude Code, Cursor, Continue,
  Copilot, any MCP client.
• Editors connect over LSP — the VSCode extension is built in; Neovim,
  Helix, JetBrains point at the same binary.

Rust, TypeScript / JavaScript (React, JSX, TSX), Vue, Svelte, Lua, and C today.

Install

VSCode — search Standardoc in the Marketplace or Open VSX.

CLI (any agent, no VSCode):

cargo install --git https://github.com/miralabs-tech/standardoc standardoc-cli
standardoc init   # wires the agent skill, MCP-first hooks, AGENTS.md, .mcp.json

→ 5-minute quickstart

Who it's for

Big, complex codebases — compilers, engines, heavy monorepos. On a weekend
project ripgrep + your IDE are plenty; Standardoc earns its keep once the
archaeology starts costing you real time.

Why it's built this way

• One graph, not N. Every tool re-parsing your code is one more thing that
  drifts out of sync.
• Real AST, never regex. Heuristics rot the moment the code moves.
• Yours, for good. Local, FSL-1.1-MIT auto-converting to plain
  MIT (first release: April 26, 2028). No cloud, no lock-in, no rented graph.

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