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SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
My AI Stand. Realtime by day, rewriting itself by night. Summon my AI superpower.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Building Agentic AI Systems, published by Packt
Sample code and application showcases to get you going with AG2 (formally AutoGen)
A collection of notebooks/recipes showcasing usecases of open-source models with Together AI.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
Readymade evaluators for agent trajectories
This repository contains the Hugging Face Agents Course.
Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Train transformer language models with reinforcement learning.
The official Python library for the OpenAI API
Examples and guides for using the OpenAI API
Search-R1: An Efficient, Scalable RL Training Framework for Reasoning & Search Engine Calling interleaved LLM based on veRL
AI job application bot: automated job search and job hunting, auto-apply to resume-matching jobs while you sleep.
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Best Practices on Recommendation Systems
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
A game theoretic approach to explain the output of any machine learning model.
Scalable and user friendly neural 🧠 forecasting algorithms.