Popular GitHub Repositories for Reasoning Agent

大型基础模型推理的最新论文和基准测试

Open-source generalized AI agent for everyday task automations.

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools

This repository collects papers on VLLM applications. We will update new papers irregularly.

ToolUniverse is a collection of biomedical tools designed for AI agents

Analyzing and scoring reasoning traces of LLMs

LLMs as Method Actors: A Model for Prompt Engineering and Architecture

It shows case studies of the LangGraph agent.

AI-powered reasoning engine powered by DeepSeek R1 reasoning model to refine queries, synthesize data, and provide insightful research responses.

A Generative AI Assistant with advance search and codebase context capabilities. Codebuddy uses machine learning to generate code, complete tasks, and streamline coding tasks workflow.

More compute and less training. Lets reason with CoT & RL!

Code and dataset for the ICLR 2024 paper "Thought Propagation: An analogical Approach to Complex Reasoning with Large Language Models."

A benchmark that focuses on the sampling dilemma in long-video tasks. Through well-designed tasks, it evaluates the sampling efficiency of long-video VLMs.

A Multi-Agent Reasoning Problem Solver. You build teams and they work together to solve the problems you give them.

AI Forecasting tools to help humans forecast the future. Additionally a framework for building a Metaculus AI Benchmarking Tournament Bot

Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation

Official repository for the paper 'Meta-Reasoning Improves Tool Use in Large Language Models'.

MindBridge是一个AI编排主控服务器，它允许任何应用程序通过单个统一的API与任何大型语言模型（LLM）进行交互，例如OpenAI、Anthropic、DeepSeek、Ollama等等。您可以通过它来路由查询、比较不同模型、获取第二意见，并构建更智能的多LLM工作流程。

A modular AI reasoning library for creating intelligent agents with advanced reasoning pipelines, memory management, and seamless LLM integration.

Unlock the power of AI by building intelligent agents from scratch! This repository provides a step-by-step guide to creating custom agents that can reason, act, and solve real-world problems