AI Development / MLOps / Infra
An open-source course and reference implementation for a self-scaling OCR pipeline on Kubernetes, using Rust for ingestion, vLLM for inference, Redis and KEDA for event-driven scaling, and MCP integration for agent use.
The page clearly describes an AI-powered OCR project with concrete implementation details, a defined stack, and a production deployment focus. The README explains the course structure, target users, scaling approach, and core components, giving enough evidence for a useful public listing.
The crawl shows the course concept and architecture, but not the full implementation depth, production readiness, or how complete the codebase is. It also doesn’t show runnable examples, screenshots of the pipeline in action, or benchmark details beyond a single throughput claim.
Last evaluated 38 days ago. Current rank #1485. Up 2 spots in the rankings.
Open-source AI agent framework and meta-harness for orchestrating Claude Code, Codex, Cursor, Pi, and custom agents with policies, sandboxing, and cross-device collaboration.
A repository that uses AI agents to translate arcade game machine code into idiomatic JavaScript and validate the result pixel-for-pixel against MAME. The page shows real project status, test methodology, and examples of completed and in-progress ports.
Open-source causal-graph memory for AI agents with MCP support, scoring, active forgetting, and benchmark results published in the repo.
An OpenAI-compatible AI router that sends requests across 12+ providers and 100+ models with automatic fallback and multimodal routing.
