Automation & Workflow Integration

--- license: apache-2.0 language: - en --- The Berkeley function calling leaderboard is a live leaderboard to evaluate the ability of different LLMs to call functions (also referred to as tools). We built this dataset from our learnings to be representative of most users' function calling use-cases, for example, in agents, as a part of enterprise workflows, etc. To this end, our evaluation dataset spans diverse categories, and across multiple languages. Checkout the Leaderboard at gorilla.cs....

--- license: cc-by-nc-sa-4.0 ---

Observability and DevTool platform for AI Agents

**中文主页** | **Tutorial** | **Roadmap (Jan 2026 -)** | **FAQ**

!License Let us not expect Wall Street to open-source LLMs or open APIs, due to FinTech institutes' internal regulations and policies. Blueprint of FinGPT !Visitors FinGPT is an open...

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!SageMaker Today, Amazon SageMaker is excited to announce the release of SageMaker-Core, a new Python SDK that provides an object-oriented interface for interacting with SageMaker resources such as TrainingJob, Model, and Endpoint. This SDK introduces the resource chaining feature, allowing developers to pass resource objects as parameters, eliminating manual parameter specification and simplifying code management. SageMaker-Core abstracts low-level details like resource state transitions and...

[Website] [arXiv] [PDF] The Cradle framework empowers nascent foundation models to perform complex computer tasks via the same unified interface humans use, i.e., screenshots as input and keyboard & mouse operations as output. - 2024-06-27: A major update! Cradle is extened to four games: RDR2, Stardew Valley, Citi...

The Atomic Agents framework is designed around the concept of atomicity to be an extremely lightweight and modular framework for building Agentic AI pipelines and applications without sacrificing developer experience and maintainability. Think of it like building AI applications with LEGO blocks - each component (agent, tool, context provider) is: - **Single-purpose**: Does one thing well - **Reusable**: Can be used in multiple p...

**Trae Agent** is an LLM-based agent for general purpose software engineering tasks. It provides a powerful CLI interface that can understand natural language instructions and execute complex software engineering workflows using various tools and LLM providers. For technical details please refer to our technical report. **Project Status:** The project is still being actively developed. Please refer to docs/roadmap.md and CONTRIBUTING if you are willing to help us improve Trae Agent. **Differe...

     --- 🎉 **原创 100+ 架构图，系统讲解大模型、强化学习**，...

*"It's time to get me in."* - Kana Ikeda A Mahjong AI that supports a variant of rules of 4-player Japanese Riichi Mahjong that is adopted in standard games in Mahjong Soul (雀魂, Jantama, CN, JP, EN). - \[2023/05/06\] Significant additions and changes to the repository's code base This repository provides an annotation tool for game records of Mahjong Soul, and programs training some types of Mahjong AI models. However, this repository doe...

🤖 DeepMCPAgent Model-agnostic LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.

English | 中文 Hello-Agents 🤖 《从零开始构建智能体》 从基础理论到实际应...

Finally, LLM agents that actually follow instructions 🌐 Website •

!Awesome A list of recent papers regarding deep learning and deep reinforcement learning. They are sorted by time to see the recent papers first. I will renew the recent papers and add notes to these papers. You should find the papers and software with star flag are more important or popular. - Papers - Model Zoo - Pretrained Model - Courses - Books - Tutorials - Software - Applications - Awesome Projects - Corpus - 2021 year - computer vision - natural language process - multi model - 2020 y...

!made-with-Python !made-with-Jupyter !LangChain !LangGraph !Educational Welcome to a comprehensive, hands-on masterclass in **modern AI agent design**. This repository contains detailed implementations of **17+ state-of-the-art agentic architectures**, built with LangChain and LangGraph. It is designed to be a living textbook, bridging the gap between theoretical concepts and practical, production-ready code. The field of AI agents is evolving at an incredible pace, but many resources remain ...

English | 中文 | 繁體中文 | Français | 日本語 | Português (Brasil) | Español *A **100% local alternative to Manus AI**, this voice-enabled AI assistant autonomously browses the web, writes code, and plans tasks while keeping all data on your device. Tailored for local reasoning models, it runs entirely on your hardware, ensuring complete privacy and zero cloud dependency.* !...

The "Awesome GPTs (Agents) Repo" represents an initial effort to compile a comprehensive list of GPT agents focused on cybersecurity (offensive and defensive), created by t...

There are millions of trades made in the global financial market every day. Data grows very quickly and people are hard to understand. With the power of the latest artificial intelligence research, people analyze & trade automatically and intelligently. This list contains the research, tools and code that people use to beat the market. [中文资源] - Agents - LLMs - Papers - Courses & Books - Strategies & Research - Time Series Data - Portfolio Management - High Frequency Trading - Event Drive - Cr...

!train tracks !GitHub Build Trax is an end-to-end library for deep learning that focuses on clear code and speed. It is actively used and maintained in the Google Brain team. This notebook (run it in colab) shows how to use Trax and where you can find more information. 1. **Run a pre-trained Transformer**: create a translator in a few lines of code 1. **Features and resources**: API docs, where to talk to us, how to open an issue and more 1. **Walkthrough**: how Trax works, how to make new mo...

# Awesome LLM Strawberry (OpenAI o1) !GitHub stars !GitHub forks This is a collection of research papers & blogs for **OpenAI Strawberry(o1) and Reasoning**. And the repository will be continuously updated to track the frontier of LLM Reasoning. - - - [OpenAI] Introducing deep research - [OpenAI] o3 preview & o3 mini - [OpenAI] Introducing...

This project is a clean fork of the original veRL project to support vision language models, we thank all the authors for providing such a high-performance RL training framework. EasyR1 is efficient and scalable due to the design of **HybirdEngine** and the latest release of **vLLM**'s SPMD mode. - Supported models - Llama3/Qwen2/Qwen2.5/Qwen3 language models - Qwen2-VL/Qwen2.5-VL/Qwen3-VL vision language models - DeepSeek-R1 distill models - Supported algorithms - GRPO - DAPO !new - Reinforc...

Thanks to the impressive planning, reasoning, and tool-calling capabilities of Large Language Models (LLMs), people are actively studying and developing **LLM-powered agents.** These agents are possible to autonomously (and collaboratively) solve complex tasks, or simulate human interactions. Our goal with this project is to build an exhaustive collection of awesome resources relevant to LLM-powered agents encompassing papers, repositories, and more. We strive to keep these updated regularly ...