A simple MCP server that delivers you jobs based on your needs

ctx: do you remember? — a lightweight, file-based system that enables AI coding assistants to persist, structure, and rehydrate project context across sessions.

Enterprise-grade prompt engineering toolkit: Distilled best practices, production-ready meta-prompts, and a professional AI agent that transforms simple requirements into battle-tested prompts.

A lightweight, AI-native programming language for building autonomous agents and LLM-driven bots.

A robust WebVTT to SRT converter optimized for AI transcriptions (Whisper, YouTube). Intelligently fixes the "Karaoke effect" (accumulating text), filters micro-glitches, and cleans metadata clutter. Includes recursive batch processing, CLI, and a simple Python API. Zero dependencies. The professional standard for cleaning AI subtitles.

Full-featured Elixir client for the Model Context Protocol (MCP) with multi-transport support, resources, prompts, tools, and telemetry.

AI Chat, Video feed, and Picture Generation

MCP-first development environment with community tools

An interactive Human-in-the-Loop (HITL) review tool for Claude. Opens a local UI to 'redline' specifications and plans before code is written.

⚡🧠 Vectro+ — High-Performance Embedding Engine in Rust 🦀💾 Compress, quantize, and accelerate vector search 🚀 Boost retrieval speed, cut memory, keep semantic precision 🎯🔥

Not a hype showcase. Just solid AI workflows, prompt structures, and automation systems I build, use, and improve. Hands-on. No fluff.

A server-client application that uses Ollama to do grammar fixing and translation for entire chapters.

Gather feedback from multiple LLM agents on CLI tools designed for agent use. Consult AI agents about features, design choices, and usability—a focus group for your agent-facing tools.

RunEcho is a deterministic structural boundary for AI execution. It generates a content-addressed intermediate representation (IR) of a codebase to produce reproducible structural snapshots. These snapshots enable bounded, verifiable model interactions without semantic analysis or runtime instrumentation.

GEN-AI Plugin — VS Code framework for LLM-assisted tooling. Demonstrates a modular layout, UI assets, and a lightweight fine-tuning workflow using training/validation JSONL.

XY.AI Workbench – Eclipse RCP solution for LLM-augmented workflows. Token-driven intelligence with tool orchestration, RAG, feedback loops, and semantic validation for reliable AI-assisted document processing.

Portable, reproducible developer lab setup — turns any fresh machine into an exploration-ready sandbox with shells, languages, runtimes, build tools, IDEs, containers, AI tooling, and isolated environments. Backed by multi-disciplinary practices (PARA, XDG, FHS, DAM) to bring order, consistency, and productivity by design.

🗜️ Compress and search large embedding datasets with Vectro+, a high-performance Rust toolkit for efficient similarity search and streaming compression.

🎥 Convert WebVTT to SRT easily, refining messy AI transcripts into clear subtitles for TTS pipelines, video dubbing, and dataset preparation.

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