What is Graph Workflow and what does it do?

Graph Workflow is an AI-powered developer tool that automates project planning by converting product requirement documents (PRDs) into structured, hierarchical task graphs, facilitating efficient execution.

Is Graph Workflow a local-first solution?

Yes, Graph Workflow is designed as a local-first tool, utilizing SQLite for persistence, offering 100% local semantic search (BM25 + TF-IDF), and operating without external dependencies for enhanced privacy and control.

What types of documents can Graph Workflow process?

Graph Workflow can import various document formats including .md, .txt, .pdf, or .html to automatically generate hierarchical task trees from your product requirements.

Which AI coding assistants integrate with Graph Workflow?

Graph Workflow integrates seamlessly as an MCP-native tool with popular AI coding assistants such as GitHub Copilot (VS Code), Claude Code, Cursor, and IntelliJ, enhancing AI-assisted development workflows.

How does Graph Workflow leverage AI for project management?

It uses AI for intelligent PRD conversion, achieves 70-85% token reduction with tiered context compression, and provides smart task routing to suggest optimal next steps based on priority, dependencies, and blockers.

Graph Workflow

Name: Graph Workflow
Author: DiegoNogueiraDev

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Automates project planning by converting product requirement documents into structured task graphs using AI-powered context, semantic search, and multi-agent orchestration.

Graph Workflow

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Automates project planning by converting product requirement documents into structured task graphs using AI-powered context, semantic search, and multi-agent orchestration.

Graph Workflow is a local-first CLI tool designed to streamline project planning and execution. It transforms product requirement documents (PRD) from various formats (.md, .txt, .pdf, .html) into hierarchical and dependency-aware task graphs, persisting them in a local SQLite database. The tool enhances agentic workflows by providing AI-optimized context (reducing tokens by 70-85% through tiered compression), intelligent task routing, and semantic search capabilities. It also features sprint planning, a comprehensive web dashboard for visualization and tracking, and orchestrates a mesh of integrated agents like Serena, GitNexus, Context7, and Playwright for code analysis, version control insights, documentation fetching, and task validation.

主な機能

01Semantic Search + RAG: Provides 100% local, full-text BM25 search with TF-IDF embeddings.

02AI-Optimized Context: Achieves 70-85% token reduction with tiered compression for efficient AI interactions.

03PRD to Task Graph Conversion: Automatically generates hierarchical task trees from various document formats.

04Smart Task Routing: Suggests optimal next tasks based on priority, dependencies, and blockers.

057 GitHub stars

06Web Dashboard: Offers an interactive graph visualization, backlog tracking, code intelligence, and performance insights.

ユースケース

01AI Engineers: Building structured agentic workflows with token-efficient context management.

02Solo Developers: Managing project planning with AI-powered suggestions and progress tracking.

03Tech Leads: Decomposing PRDs into trackable, dependency-aware task graphs for project oversight.