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1. The easiest and most effective way tool to retrain a RAG LLM/GEN AI/Agent on your data

   Python 2 1

2. Production-grade semantic search engine with custom vector indexing algorithms, REST API, and web UI. Python + FastAPI + Docker. Sub-30ms queries, 41 tests, zero dependencies on external vector DBs.

   Python 1

3. Forked from trycua/cua

   Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).

   Python

4. JSocket: A simple, lightweight Java WebSocket server core for building real-time applications. Beginner-friendly, pure Java, and zero dependencies

   Java 2 1

5. A fully recursive algorithm to solve eight queens' problem

   Java 6

6. Unity controller that replicates Celeste's precise platformer physics with variable jump height, apex control, and responsive movement for 2D/3D games.

   C# 3