The "Economy Mode" for AI Compute
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Updated
Apr 11, 2026 - Python
The "Economy Mode" for AI Compute
Self-hosted multi-agent AI platform. Persistent labs, 40 sandboxed tools (code, web, RAG, GPU dispatcher, web3), private Qdrant + LightRAG, sandboxed code execution per lab, anti-loop detection, Ollama/vLLM/OpenAI/Anthropic adapters. Two-command Docker deploy. Apache 2.0.
Distributed document RAG system with intelligent GPU/CPU orchestration. Auto-discovers heterogeneous nodes, routes workloads adaptively, and achieves 60x+ speedups through VRAM-aware load balancing. Privacy-first architecture with 4 interfaces (CLI, API, MCP, Web UI). Real distributed systems engineering, not just an API wrapper.
Build a decentralized AI infrastructure on Solana, enabling secure on-chain model training and creating a global marketplace for AI inference services.
Legacy version of FlockParser PDF processing system
High-performance AI infrastructure marketing site built with Next.js, Tailwind CSS, and Three.js WebGL.
Distributed compute orchestration - consensus-aware GPU scheduling across heterogeneous infrastructure
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