Autonomous AI Swarm / Developer Tooling
Pixel Crew.
A visual AI agent orchestration workspace built with Node.js and JavaScript, with parallel tasks and a retro pixel-art office.
What it does
- Directed Acyclic Graph (DAG) task engine orchestrating specialized agent personas in parallel
- Anti-AI-slop design system enforcing fluid clamp scales, asymmetric grids, and zero generic blobs
- 23 Specialized autonomous agent personas with strict role boundaries & toolsets
- Universal compatibility across Claude, Cursor, Gemini, Codex, Grok, Kiro, Hermes, and OpenCode
- Interactive retro pixel-art tech startup office visual dashboard streaming live activity
- AST symbol-graph context extraction reducing token consumption by 50%–75%
- Multi-tiered consensus and automated security audit checks before code generation
- Dynamic persona spawning for Frontend, Backend, Security Sentinel, and QA SRE
- Context-aware multi-turn task memory and automated verification loops
Background & Motivation
Modern AI coding assistants often suffer from context window pollution, generic code generation, and single-agent hallucinations. Pixel Crew was architected to simulate an authentic, high-velocity engineering department where specialized autonomous agents collaborate under strict domain protocols.
Architecture & Token Efficiency
Pixel Crew implements AST symbol-graph extraction to provide subagents with localized semantic context rather than dumping entire codebases, reducing token consumption by 50% to 75%. Agents operate within isolated sandboxes and communicate via structured JSON protocols.
Interactive Pixel-Art Tech Startup Office
Alongside headless CLI execution, Pixel Crew features an interactive retro pixel-art startup office dashboard that visualizes subagent tasks, status, and collaborative handoffs in real time.