MCP-NixOS - Model Context Protocol Server for NixOS resources
- ai-assistant
- ai-integration
- ai-tools
- anthropic
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MCP-NixOS - Model Context Protocol Server for NixOS resources
File creation plugin for Sublime Text
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
Ruby test runner for Sublime Text with Minitest, Test::Unit, RSpec, and Cucumber support, single-test execution, and code/test switching.
Remory: Learning Residual Memory for Context Compaction
SUPRA-Tex: 3D Generation with Super-Aligned Texture
ASCII transliterations of Unicode text - GitHub mirror
Claudemy: an open-source alternative to Udemy and Coursera. Give Claude a topic, it researches the web and builds a course of 2-minute audio lessons with cited sources. A free Claude Code skill.
Open Reality: phone video to AI-queryable 3D scenes. MCP tools for Claude/Codex/Cursor (npm openreality-mcp), the self-hostable broker, and the VGGT-SLAM library, in one repo. BSD-2-Clause.
Generative Adversarial Text to Image Synthesis / Please Star -->
MCP gateway & OAuth MCP servers. LangGraph agent: memory, eval/tracking, PII guard, context trimming. Docker quick start for enterprise agents.
:boom: Robust C/C++ code completion for Sublime Text 3/4
A text-based user interface (TUI) for Ansible.
Imagination Studio by keys+Wasserman powered by TensorFold: an AI film studio for Mac and NVIDIA DGX Spark. Plan a film like a crew (Slate workflow by Sam Wasserman), render Qwen-Image-2.1 / FLUX3-K pictures and MiniMax H3 / FastH3 video with sound on TensorFold.
Build AI phone agents on your own computer and test every change with an AI caller. Open source, runs free with no API keys, cents per call with your own keys. Imports Dialogflow CX.
Official repository for MemT-1.0
WeVisDoc is an end-to-end document parser for page images. Fine-tuned from Qwen3-VL-2B-Instruct and Qwen3-VL-4B-Instruct, it turns a page into structured Markdown, with LaTeX formulas and HTML tables.
Translated斑海豹 (Spotted Seal) — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions.
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
:hospital: Medical Text Mining and Information Extraction with spaCy
hBPF = eBPF in hardware
Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.