Logo concepts for a Python library that orchestrates supervisor-led multi-agent systems on LangGraph
Central supervisor node connected to agent nodes in a hexagonal graph. Represents the hub-and-spoke architecture with the supervisor at the center.
The letter "G" formed by connected graph nodes, like a constellation. Merges the "graph" identity with a recognizable letterform.
Layered DAG showing supervisor → agents → workers with animated data flow. Directly represents the multi-agent orchestration hierarchy.
Clean, minimal three-node graph with a central convergence point. Works at any size — favicon to banner. Purple-blue gradient conveys tech/AI.
Mesh-connected crew members in a circle — emphasizes the "crew" in graphcrew. Each node is a stylized agent. Green/teal palette for growth and reliability.
Bold "G" letterform with graph nodes placed along the path and faint inner connections. Vibrant pink-purple-blue gradient. Iconic and memorable.
Agents orbiting a central supervisor like electrons around a nucleus. Conveys coordination, motion, and a system in balance. Warm amber/red palette.
Clean typographic wordmark with gradient fill and subtle graph nodes connecting the letters. Professional and readable. Works best for README headers and documentation.
Indigo/Violet — Tech & AI
Teal/Emerald — Reliable & Fresh
Pink→Blue — Bold & Modern
Amber/Red — Energy & Motion