GraphFlow

English | 简体中文

Token-first surgical code engine for coding agents (v3.9.0). Four deterministic MCP tools plus a 0-LLM prompt reflex — all local, no LLM in the engine loop.

The Four Surgical Tools

Tool	Capability
gf_read	Slice exact symbols (file.ts#fn) with cross-file type closure + blast-radius call sites; bilingual keyword search (q: "启动 / launch"); AST skeleton fold (−93% tokens).
gf_edit	In-place symbol/line edits, bottom-up atomic batches, cross-repo rename — with AST syntax rollback, caller-arity and struct-field guards.
gf_exec	affected-tests routing (2-hop reverse imports) or any command with dehydrated output: 1-line PASS receipt, 5-line failure source window, 3-strike circuit breaker. run:true executes; otherwise preview.
gf_macro	Habit-mined deterministic macros: repeated reads → context bundles, repeated commands → 1-step pipelines / parameterized templates, isomorphic edits → codemods. Zero LLM turns to replay.

Prompt Reflex (0-LLM Local Reaction)

A short command-like prompt (e.g. 启动项目) that matches a macro trigger executes the macro locally and blocks the prompt from reaching the model; longer prompts get an injected hint; anything else passes through. Kill switch: GRAPHFLOW_PROMPT_REFLEX=0.

• Tier 1 — full block (auto-registered): ZCode, Claude Code, Codex CLI, Gemini CLI, Cursor, Windsurf, Trae, Qoder, Kimi Code, Continue CLI.
• Tier 2 — inject/rewrite: OpenCode, Kilo Code, Cline (Unix), DeepSeek Harness.
• Tier 3 — fallback (gf_macro MCP): VS Code Copilot, Zed, Claude Desktop, PearAI, Antigravity, Roo Code (archived).

Details, per-host config and security notes: docs/prompt-reflex.md.

Quick Start

npm install -g @roarpeng/graphflow   # Node 18+
graphflow install                     # register MCP + Skill + Rules + Hooks into detected agents
graphflow status                      # per-agent registration state
graphflow-mcp                         # stdio MCP server

Skill-only entry: npx skills add Roarpeng/GraphFlow. Manual MCP block for hosts that read mcpServers JSON: { "mcpServers": { "graphflow": { "command": "graphflow-mcp" } } }.

Supported Languages

Language	Backend
TypeScript / JavaScript	True AST (@babel/parser)
Python / Go / Rust / C / C++ / C#	True AST via optional tree-sitter-* grammars (structural fallback when absent; GRAPHFLOW_TREE_SITTER=0 disables)

Runtime deps: @babel/parser, @modelcontextprotocol/sdk, tree-sitter + optional grammars. tree-sitter is syntax-only; cross-file type inference stays heuristic with documented limits.

22-Agent Auto-Installer

graphflow install detects agents and registers MCP + Skill + Rules + Hooks — hook merges are idempotent and preserve user entries; graphflow uninstall removes only GraphFlow-owned registrations. Scope with --agents <id1,id2> / --all / --workspace.

Covers: Cursor, VS Code, Windsurf, Trae, Zed, Claude Code, Codex, Gemini CLI, Antigravity, Kimi Code, DeepSeek Harness, OpenCode, ZCode, Cline, Roo Code, Kilo Code, Continue, PearAI, Qoder, Claude Desktop, Amazon Q, WorkBuddy.

DeepSeek Harness (DSH)

DSH reads Cordis patches, not mcp.json. graphflow install writes a managed block (# GRAPHFLOW-DSH-BEGIN/END) into ~/.dsh/cordis.patch.yml with cwd pinned to your workspace — run it from the workspace so relative targets resolve. Alternative: the configuration-only @roarpeng/graphflow-dsh bundle (use one or the other; both = duplicate row).

VS Code Extension

Marketplace / Open VSX: search "GraphFlow" (roarpeng.graphflow) — prebuilt launcher with Install / Mine-git / Status commands. Manual VSIX steps: VSIX-INSTALL.md.

CLI Reference

Command	Purpose
graphflow install [--workspace] [--agents <id1,id2>]	Register MCP + Skill + Rules + Hooks in detected agents (merges host hooks; user hooks preserved)
graphflow uninstall [--agents <id1,id2>] [--all]	Remove GraphFlow registrations (owned entries only); default detected agents, --all cleans every profile
graphflow status [--agents <id1,id2>] [--all]	Per-agent registration state ([MCP ✓] [Skill ✓] [Rule -] [Hook ✓])
graphflow read [targets...] [-q <query>] [--skeleton] [--dedup]	Surgical read from the terminal
graphflow edit <file> [--symbol <sym>] [--new <code>] [--rename <name>]	Surgical edit / rename
graphflow exec [cmd] [--run] [--root <dir>]	Affected-tests routing or any command with dehydration (--run executes, otherwise preview)
graphflow macro <list|run|save|mine|mine-git> [id] [args...]	Macros and git co-change mining
graphflow task <list|show|record|run|log|harvest>	Local task reflection: record, promote repeated instructions, replay offline
graphflow reflect "<instruction>" [args...]	Run the recorded/near-match task for an instruction locally (MISS when unknown)
graphflow flywheel [--prune] [--ttl-days N]	Session-journal health check: pending-episode backlog, status split, oldest age, over-TTL count; --prune removes pending episodes older than TTL days (default 30), other kinds kept
graphflow hook <pre-tool|post-tool|user-prompt> [--protocol generic|cursor|gemini]	Host hook interceptor entry (internal)
graphflow graph / graphflow brief	Knowledge-graph HTML export / cross-agent handoff brief
graphflow doctor parsers [--strict] / graphflow parsers	Tree-sitter engine diagnostics (--strict exits non-zero without true AST)
graphflow version | help	Version / usage

Environment & Tuning

Variable	Default	Effect
GRAPHFLOW_EXEC_TIMEOUT_MS	600000	Wall-clock budget for one gf_exec command. A run stopped by it returns TIMEOUT (exit 124) with the last output lines and a handle — never a plain FAIL.
GRAPHFLOW_MAX_FILES	20000	Workspace scan cap. Earlier builds hard-coded 5 000 and silently truncated larger trees.
GRAPHFLOW_SEMANTIC_CACHE	on	Persist the L0 semantic index (semantic-index.json plus a semantic-index-delta.json overlay). =0 disables.
GRAPHFLOW_SEMANTIC_FRESH_MS	50	Staleness re-check window for the semantic index; 0 re-checks on every query.
GRAPHFLOW_NAME_INDEX	on	Persisted per-file identifier set used to pre-filter blast-radius candidates without reading sources. =0 falls back to byte scans.
GRAPHFLOW_AST_CACHE	on	AST shard persistence under .graphflow/ast-cache/.
GRAPHFLOW_GRAPH_DEBUG	off	Print per-stage timings for the knowledge-graph build.

Measured on a synthetic 9 902-file workspace: single-symbol read with blast radius 0.62–0.69 s, knowledge graph rebuild with no changes 0.17–0.28 s, with one file changed ~1.7 s, full cold build ~30 s.

Development

npm install && npm test        # 40 test files (incl. MCP stdio e2e)
npm run build                  # tsc → dist/
npm run bench                  # local benchmark → benchmarks/latest.md
npm run verify:parsers         # true-AST vs structural matrix
npm run preflight              # static release checks

Docs

• Prompt Reflex — host matrix & config
• VSIX install