High-performance Python code flow analysis with NLP query processing - CFG, DFG, call graphs, and intelligent code queries

Goal - Automated git push with enterprise-grade commit intelligence, smart conventional commit generation based on deep code analysis, and interactive release workflow management.

curllm - Intelligent browser automation with local LLMs (Qwen, Llama, Mistral) for data extraction and form automation using a dynamic LLM-DSL architecture without hardcoded selectors.

Toonic — Universal TOON Format Platform for LLM-optimized file representations

A complete toolkit for validating LLM-generated code

Closed-loop automation across semcod/ repositories.

NLP2CMD - Transforms natural language into domain-specific commands (SQL, Shell, Docker, Kubernetes) using a multi-layered detection pipeline and thermodynamic optimization.

Text-interface LLM control plane for semcod/coru shell automation (pair with gillm for GUI).

Zero-config AI cost calculator per commit/model with liteLLM

Regression Index — detect and measure code quality regressions between git versions

✓ DoMD - Do Markdown Docs - automatically detect, run and show working commands in DONE.md and errors in TODO.md markdown files

Cross-layer dependency correlation and safe refactoring planner for applications.

Pyqual Demo

WUP (What's Up) - Intelligent file watcher for regression testing in large projects

High-performance Python code flow analysis with optimized TOON format - CFG, DFG, call graphs, and intelligent code queries

Declarative quality gate loops for AI-assisted development

Intelligent LLM model router driven by real code metrics — successor to preLLM

Python code quality tool with LLM-aware rules, plugin system, and enterprise features

Auto-generate and sync project documentation from source code analysis

MCP server for reading and writing .env variables (email/SMTP and custom keys)