fireworks-tech-graph turns natural language descriptions into validated SVG, high-resolution PNG, semantic GIF, and offline interactive HTML diagrams. It eliminates the need to write DSL syntax or manually draw in a GUI by accepting plain-language system descriptions and producing geometry-checked output.
Project overview
Accepting natural language input to generate validated, multi-format technical diagrams addresses a real workflow gap for developers and AI engineers who need architecture visuals without learning a DSL or using a GUI editor.
Project type
AI Agent · Workflow · Prompt Engineering
Use cases
Documents & Office
Deployment
Refer to project documentation
License
MIT
Best for
Developers and AI engineers who need to produce technical diagrams from natural language descriptions without writing DSL syntax or using a GUI.
Key capabilities
Turns natural language descriptions into polished, geometry-checked SVG diagrams.
Built-in AI/Agent domain patterns including RAG, Agentic Search, Mem0, Multi-Agent, and Tool Call.
Offers 12 visual styles, including 11 generator-backed profiles and 1 AI-authored style.
Generated SVG in, validated GIF out; connectors begin absent and draw in semantic order.
Limitations and risks
The rsvg-convert fallback renderer may drop CSS or <foreignObject> content during rendering.
Getting started
Setup is rated easy: a single npx install command or git clone is provided.
Evidence and sources
GitHub project description: Generate production-quality SVG+PNG technical diagrams from natural language. 7 styles, UML support, and AI/Agent workflow patterns.
README: `fireworks-tech-graph` is one Agent Skill that works unchanged in **Codex and Claude Code**.
README: Stop drawing diagrams by hand. Describe your system in English or Chinese
README: Mermaid is great for quick inline diagrams in markdown. draw.io is great for manual polishing. `fireworks-tech-graph` is optimized for **describing a system and getting a polished…