#distributed-systems

A quantum prompt playground & macOS-native Rust coding agent: morphing fluid entropy into rigid execution checkpoints. Entropy cannot lie.

Open scheduling layer for AI-operated real machines, tools, desktops, jobs, and evidence

Scenery — one CLI tool for building, running, inspecting, and debugging Go backends. Local-first runtime, APIs, logs, traces, DB tools, generated clients, and AI agent skills included.

Reference implementation of a transport-agnostic protocol for signed, bounded, and verifiable delegation between autonomous agents.

Production-grade distributed ML inference platform — FastAPI gateway, Redis-backed worker pool with dynamic batching, WebSocket result streaming, and a live ops dashboard. Serves YOLO, Whisper, RAG and text models, with an MCP agent server and streaming chat.

Nimbus is a lightweight, pull-based edge AI workload orchestrator.

A self healing API service mesh, written in Rust on Tokio and Axum, that watches a topology of upstream services, detects failures with a debounced health checker, atomically reroutes traffic and rewrites its own routing config, and asks Claude (via the Anthropic Messages API with tool calling) to produce a structured incident report.

Distributed search engine — Spring Boot, RMI, Lucene BM25, OpenAI