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@KhaiTrang1995

Free

Open-source AI agentic engineering tools

FreeFree tier
Inputs: code
Type
Open Source
Visit Website GitHub (40 stars)
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About @KhaiTrang1995

KhaiTrang1995 (known as JonyT Agentic) is the creator of several open-source AI agentic engineering tools, including the popular agentic-awesome-skills (AAS Core) which serves as a local, agent-first control plane for catalog discovery, agent-owned selection, stack validation, and planning, backed by over 1,987 agentic skills. The portfolio also includes loop-engineering (practical patterns and CLI tools for loop engineering with AI coding agents), agentic-awesome-kits (reusable Loop Engineering kits for autonomous agents), and graph-engineering (a Python toolkit for multi-step AI/agent systems as explicit graphs). All tools are vendor-agnostic and designed to help developers build and orchestrate AI agents.

Key Features

Local, agent-first control plane with catalog discovery and agent-owned selection
Loop engineering CLI tools and practical patterns for AI coding agents
Reusable Loop Engineering kits combining skills, rules, templates, and workflows
Python toolkit for multi-step AI/agent systems as explicit graphs with structural validation
Supports local MCP (Model Context Protocol)
Vendor-agnostic design
Over 1,987 agentic skills included

Pros & Cons

Pros
  • Fully open-source with permissive licenses
  • Large community with high GitHub stars (43k+ on agentic-awesome-skills)
  • Vendor-agnostic and compatible with multiple AI frameworks
  • Includes practical, reusable patterns and CLI tools
  • Actively maintained with regular updates
Cons
  • Requires technical expertise in AI agent development
  • Documentation may be limited for beginners
  • Some tools are still in early stages (e.g., graph-engineering has only 1 star)

Best For

Building autonomous AI coding agentsLoop engineering for iterative agent developmentMulti-step agent system design and validationAgentic skill catalog discovery and selectionAutomated stack validation and planning

FAQ

What is agentic-awesome-skills?
AAS Core is a local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 1,987+ agentic skills. It includes a CLI and local MCP support.
Are these tools free to use?
Yes, all tools are open-source and free to use under their respective licenses.
What programming languages are these tools in?
The tools are primarily written in Python and JavaScript (for loop-engineering).