GraphPilot

io.github.graphpilot-oss由 GitHub 账号 graphpilot-oss 发布v1.0.1更新于 Oct 24, 2026

Structural memory for coding agents: callers, callees, blast radius and symbols over MCP.

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概览

AI 生成的概览

为编码助手提供 TypeScript/JavaScript 仓库的本地结构化索引,无需 grep 即可查询符号、调用方、被调用方与影响范围。

可以做什么
GraphPilot 将 TS/JS 仓库索引为符号与调用边的结构化图,并通过 MCP 提供给编码助手。它提供四个工具:gp_recall 按名称查找符号,gp_callers 列出调用方或被调用方,gp_impact 计算直接与传递影响范围(可按分支或提交限定),gp_index 刷新图。返回结果带有 file:line @ sha 锚点,便于核对。另有独立 CLI 负责构建与监听索引。
适用场景
当助手反复 grep 并读取同一批文件来回答结构化问题(例如函数定义在哪里、谁调用了它、重命名会破坏什么)时,适合安装。适用于 TypeScript 或 JavaScript 代码库的重构与 PR 影响面审查。不适用于文本搜索、其他语言或语义相似度检索。
运行要求
需要 Node.js 20 或更高版本,以及支持 MCP 的编码助手。该包从 npm 安装,以本地 stdio 进程运行;必须先运行一次 CLI 建立索引,MCP 服务器才有内容可提供。可选环境变量 GRAPHPILOT_ROOT 指定要索引的仓库,否则使用客户端工作区根目录或向上查找父目录。未声明需要账号或 API 密钥。
安装前请注意
该服务器对磁盘上的图只读,文档称其从不修改源代码、不发起网络请求、不收集遥测。索引写入用户主目录并采用严格权限,签名在写入前会按常见密钥模式脱敏,但仓库的结构化元数据仍会落盘。gp_index 会写入并刷新该索引,因此会改变本地状态。

安装

在 SourceWeft 中

  1. 打开 控制台中的 GraphPilot,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

[GraphPilot]

GraphPilot

Structural memory for coding agents.
A refactor-safe, branch-aware, evidence-backed code graph that runs entirely on your machine.

[License: Apache 2.0] [Node ≥20] [v0.1.0] [alpha] [239 tests] [GraphPilot MCP server]

Quickstart · Tools · How it works · Editor setup · Limitations · Benchmarks

[GraphPilot demo — install, index, and query a real TypeScript repo in under 30 seconds]


What it is

GraphPilot is a local CLI + MCP server that indexes your TypeScript/JavaScript repo into a structural graph (symbols, callers, callees, blast radius) and exposes it to coding agents — Claude Code, Cursor, Cline, Windsurf, Continue — so they stop re-grepping the same files every conversation.

The problem it solves: agents burn tokens, hallucinate function names, and miss structural relationships ("what calls this?", "what breaks if I rename it?") because each session starts from zero. GraphPilot is the persistent structural memory in between.

Token cost drops. Hallucinations drop. Refactors get safer.

Put a real coding agent (claude-sonnet-4-5) on 40 structural questions about fastify — a ~300-file Node.js framework — and give it nothing but file reads. Then hand it GraphPilot's four tools and ask the same 40. The agent with GraphPilot uses 61 % fewer tokens, costs $3.68 instead of $8.88 — $5.20 saved per session — and gets more of them right, not fewer (37 correct vs 33). Same model, same questions, same repo; the only change is whether the structural index is there. Reproduce it →

A separate correctness benchmark backs the savings with precision: on 10 standardized structural queries GraphPilot scores F1 0.89 vs grep's 0.42 while reading 99.9 % fewer bytes (721 B vs 528 KB), and the byte-cost win holds at scale — indexing microsoft/TypeScript (601 files, 17 k symbols, 70 k call edges in 10 s) gives sub-millisecond queries and a 99.99 % bytes-read reduction. Full methodology →

One binary, two modes

GraphPilot ships as a single npm package (@graphpilot-oss/graphpilot) with two runtime modes — most users run both.

ModeCommandWhat it does
CLIgraphpilot index <path>Walks your repo, builds the structural graph, writes it to ~/.graphpilot/
graphpilot watch <path>Keeps the graph fresh (~10 ms per file save)
graphpilot status <path>Health probe — when the graph was last refreshed, file/symbol/edge counts
MCP servergraphpilot mcpSpeaks MCP over stdio — your coding agent calls into this to query the graph

The flow: the CLI builds the index once (and watch keeps it warm). The MCP server is what your coding agent talks to — you never invoke it yourself, you just point your agent's MCP config at graphpilot mcp once and the agent spawns it on every session.

[GraphPilot data flow: you run index/watch to build ~/.graphpilot/<repo>/graph.json; the read-only graphpilot mcp server reads it and serves your coding agent over stdio JSON-RPC]

If you only want CLI access to your code graph (no agent), run graphpilot index and then graphpilot stats / inspect graph.json directly. If you only want the agent integration, you still need to run graphpilot index once — the MCP server is read-only against the on-disk graph.

What makes it different

Other code-graph tools treat your repo as a static blob: index once, query forever, no branch awareness, no proof of where an answer came from. GraphPilot is built around three properties none of them ship:

  • 🔍 Evidence anchors. Every tool response carries file:line @ sha on every symbol and call site. The agent can quote the anchor verbatim and you can verify it instantly — hallucinations get exposed the moment you jump to the line.
  • 🌿 Differential impact. Pass since: <commit|branch> to gp_impact and the result is filtered to files your branch actually touches. PR-scoped refactor analysis in one call instead of git diff | xargs grep.
  • 🪵 Worktree-aware by default. Two git worktree add-ed branches naturally produce two separate indexes — no manual config. Run graphpilot index ./src/feature from a subdir and it transparently re-roots to the worktree top. Opt out with --no-worktree.

Add to that: local-first (no telemetry, no remote calls, enforced by an ESLint policy on src/ itself), deterministic (same repo → same graph), sub-second incremental updates via watch mode.

Quickstart

Prerequisites

  • Node.js ≥ 20 (node --version to check)
  • An MCP-capable coding agent (Claude Code, Cursor, Cline, Windsurf, or Continue)
  • A TypeScript or JavaScript repo to index

End-to-end time: ~3 minutes.

1. Install the CLI

bash
npm install -g @graphpilot-oss/graphpilot# or: pnpm add -g @graphpilot-oss/graphpilot# or one-shot, no install: npx @graphpilot-oss/graphpilot <command>

Verify it landed on your PATH:

bash
graphpilot --version# → 0.1.0

If you see command not found: graphpilot, your global npm bin is not on PATH. Run npm config get prefix and add <prefix>/bin to your shell's PATH, or use the npx form above.

2. Build the structural index for your repo

Run this once per project. It walks your source tree, parses each TS/JS file with tree-sitter, extracts symbols + call edges, and writes the graph to ~/.graphpilot/<repo-id>/graph.json.

bash
graphpilot index ~/code/my-app

Expect a one-line summary like indexed 412 files · 3,981 symbols · 7,204 edges · 1.8s.

3. Wire it into your coding agent

GraphPilot speaks MCP over stdio. Add this server entry to your agent's MCP config — every supported client uses the same two-line shape:

json
{  "mcpServers": {    "graphpilot": {      "command": "graphpilot",      "args": ["mcp"]    }  }}

Where this file lives depends on the client (~/.cursor/mcp.json, ~/.claude.json, Cline's settings panel, etc.). Pre-made configs with the exact file path for each agent are in examples/ — copy the one for your client.

Restart the agent. It now has four new tools: gp_recall, gp_callers, gp_impact, gp_index — see The four tools below for what each one does and when the agent should reach for it.

4. Try it

Ask your agent a structural question instead of letting it grep:

"Use gp_impact to show me everything that breaks if I rename parseToken."

You should see a response with file:line @ sha anchors you can click straight to. If the agent doesn't reach for the tool, prompt explicitly: "use the gp_ MCP tools." If it can't see them at all, the MCP config wasn't picked up — run graphpilot doctor to pinpoint why (or see docs/troubleshooting.md), then restart the agent.

5. Keep the index fresh as you edit (optional but recommended)

bash
graphpilot watch ~/code/my-app

Sub-10 ms incremental updates on each file save. Leave it running in a terminal tab.

6. Drop per-editor routing rules into your repo (optional)

bash
graphpilot init

Auto-detects which editors you have installed (Cursor, Claude Code, Cline, Windsurf, Continue) and writes the matching rules file (.cursorrules, CLAUDE.md, etc.) to the current directory. The rules teach the agent to reach for gp_* tools before grep.

bash
graphpilot init --all            # write rules for every supported editorgraphpilot init --client cursor  # one editor onlygraphpilot init --dry-run        # preview without writing

Full 5-minute walkthrough with screenshots: docs/quickstart.md.

The four tools

GraphPilot exposes four MCP tools. Each one answers a structural question your agent would otherwise solve by grepping and reading files.

gp_recall — find a symbol by name

Use this when the agent asks "where is X defined?" or needs to locate a function before reasoning about it.

  • Input: { query, limit?, substring?, path? }
  • Returns: symbols matching the name (exact case-insensitive by default; substring: true for partial matches), each with file:line @ sha.
  • Replaces: grep -rn "function X" plus reading each hit to find the real definition.
text
Agent: gp_recall({ query: "parseToken" })→ parseToken (function) — src/auth.ts:42 @ a1b2c3d  export function parseToken(raw: string): Token | null

gp_callers — list callers (or callees)

Use this when the agent needs to know "who calls X?" or "what does X call?" — the two fundamental questions of refactoring.

  • Input: { symbol, direction?: 'callers' | 'callees', limit?, includeUnresolved?, path? }
  • Returns: every call edge where the symbol is target (callers) or source (callees), with anchors.
  • Replaces: grep -rn "X(" followed by manual filtering of comments, strings, and renamed shadows.
text
Agent: gp_callers({ symbol: "authenticate", direction: "callers" })→ login → authenticate — src/routes/login.ts:18 @ a1b2c3d→ refreshSession → authenticate — src/session.ts:64 @ a1b2c3d

gp_impact — blast radius in one call

Use this when the agent asks "what breaks if I rename X?" or "what depends on this?" — the single most expensive question an agent normally solves.

  • Input: { symbol, depth? (1–5, default 3), since?, path? }
  • Returns: direct callers, transitive callers grouped by BFS depth, tests likely affected, public-API flag, summary stats.
  • Killer feature: pass since: 'main' and the result is scoped to files your branch actually touches — PR-scoped refactor review without git diff gymnastics.
text
Agent: gp_impact({ symbol: "extractSymbols", depth: 2, since: "main" })→ Direct callers (2):    indexDirectory, applyUpdate→ Depth-2 callers (1):   cmdIndex→ Tests affected (3):    tests/indexer.test.ts, tests/symbols.test.ts, tests/cli.test.ts→ Public API:            no

gp_index — refresh from inside the agent

Use this after the agent (or the user) has made a batch of structural edits and wants the graph to reflect them without dropping to a shell.

  • Input: { path? }
  • Returns: re-indexes the repo and invalidates the per-path query cache.
  • Pairs with: graphpilot watch for sub-10 ms incremental updates between explicit re-indexes.

How it works

[How GraphPilot works, in two phases. Build time (CLI index/watch): your repo flows through indexer.ts, parser.ts, and symbols.ts + edges.ts, which storage.ts writes to graph.json at ~/.graphpilot/<repo-id>/ (mode 0600). Serve time (read-only MCP server): query.ts reads graph.json, mcp.ts exposes 4 tools over stdio JSON-RPC with evidence anchors, served to Claude Code, Cursor, Cline, Windsurf, and Continue.]

Data flow is one-way: source → tree → symbols + edges → JSON → query → agent. GraphPilot never modifies your code.

Full pipeline writeup with file references: docs/architecture.md.

When to use which tool

If the agent is about to…Reach for…Why
grep for a function by namegp_recallOne call, no false positives from comments or strings
Read 20 files looking for "who calls X"gp_callersPre-computed reverse index, sub-millisecond
Plan a rename or signature changegp_impactDirect + transitive + tests + public-API in one call
Review a PR's structural blast radiusgp_impact({ since: 'main' })Differential — only callers your branch touches
Re-grep after editing several filesgp_indexIncremental: lets the next call see your edits

For string literals, error messages, config values, or anything in a language other than TS/JS: stay with grep. GraphPilot indexes code structure, not text.

Editor setup

GraphPilot speaks MCP over stdio, so it works with any MCP-capable client. Ready-to-paste configs live in examples/:

ClientFolder
Claude Code (Anthropic)examples/claude-code/
Cursorexamples/cursor/
Cline (VS Code extension)examples/cline/
Windsurf (Codeium)examples/windsurf/
Continue.devexamples/continue/
Any other MCP clientSee docs/mcp-setup.md

Each folder contains: a README.md walkthrough, a sample config file with the exact JSON to paste, and (where the client supports it) a routing template so the agent automatically reaches for GraphPilot on structural questions.

Privacy & security

GraphPilot is local-first by promise and by build gate.

  • No telemetry, no remote calls, ever. Verifiable: src/ has zero http, fetch, axios, or analytics imports — enforced by an ESLint rule plus a meta-test that proves the rule fires on every banned import.
  • No child_process, no exec, no spawn. Git facts are read directly from .git/ via pure-JS helpers.
  • Source code never leaves your machine. Only structural metadata (names, locations, signatures, call relationships) lives in ~/.graphpilot/.
  • Signatures are redacted for common secret patterns (OpenAI/Anthropic sk-, GitHub ghp_/ghs_, AWS AKIA, JWTs, PEM headers, Slack/Stripe tokens) before they're written to disk.
  • Strict file permissions: dir 0o700, files 0o600.
  • Schema validation on load: tampered or corrupt graph.json falls back to "no index" rather than poisoning the agent.
  • Hand-rolled input validators on every MCP tool — unknown fields are rejected, every field type-checked, numbers range-checked, strings length-capped.

Threat model and per-defence test references live in docs/architecture.md. Report security issues per SECURITY.md.

Limitations

GraphPilot v0.1 makes deliberate trade-offs to ship small and sharp:

  • TS/JS only. Python, Rust, Go, Java are out of scope for v1. Python is demand-gated for v0.2 / v0.3.
  • Name-based resolver (no import-path tracking, no type-based method dispatch). Expected resolution rate: ~25–35 % of edges resolve to in-repo symbols; the rest are stdlib / third-party. That's enough because the questions agents actually ask ("who calls X in my repo?") are the ones the dumb resolver answers correctly.
  • No semantic search. gp_recall is name-only. "Find code similar to this snippet" is deferred until 30+ users ask for it.
  • No .graphpilotignore yet (defaults skip node_modules, dist, build, .git, coverage, .next, .nuxt, .cache, out, *.d.ts).
  • Single repo per query. Workspace abstraction is on the v1.x roadmap.

Full list with mitigations: docs/limitations.md.

FAQ

Does it send my code anywhere? No. There is no network code in src/, no telemetry, no update check. An ESLint rule blocks adding any of those at the build gate.

Will it slow down my editor? The MCP server is idle until your agent calls a tool. Tool calls are sub-millisecond after the first lazy load. Watch mode adds ~3–10 ms per file save.

What happens to the graph when I switch branches? If you use git worktree, you automatically get a separate graph per worktree. On a single working copy that you switch with git checkout, the graph reflects the last gp_index (or watch-mode updates). Run gp_index after a branch switch to refresh.

Do I need to re-index every session? No. The graph persists at ~/.graphpilot/<repo-id>/graph.json. Re-index after sweeping changes; otherwise, watch mode keeps it fresh incrementally.

Why TypeScript/JavaScript first? That's where the maintainer's pain was, and tree-sitter-typescript covers TS, TSX, JSX, and JS in a single grammar. Python is the next likely addition; vote with a GitHub Discussion.

How does this compare to LSP? LSPs are scoped to one editor and one buffer at a time, and they re-compute on each query. GraphPilot is editor-agnostic, persists across sessions, and answers structural questions (who-calls, blast-radius) that LSPs don't expose uniformly.

The agent can't see the tools / something's not working. Run graphpilot doctor — it checks Node, PATH, the index, the MCP handshake, and per-client config in one shot. Symptom-by-symptom fixes live in docs/troubleshooting.md.

Documentation

Contributing

GraphPilot is small, opinionated, and accepting contributions. Start with CONTRIBUTING.md — especially the "What we are NOT doing in v1" section before you propose a feature.

Found a security issue? Please follow SECURITY.md instead of opening a public issue.

License

Apache-2.0. Copyright 2026 Akshay Sharma — [email protected]

来源:README.md,提交 ebd80de

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.0.1最新Sep 16, 2026

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