Stars
jdr - SOTA performance on "DeepSearch" benchmarks in < 1500 lines of code
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Code for steering and monitoring with concepts vectors in LLMs. https://arxiv.org/abs/2502.03708
Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)
Expand -> Retrieve -> Rerank - simple method with strong results on BRIGHT benchmark
Build, evaluate and train General Multi-Agent Assistance with ease
CodeScientist: An automated scientific discovery system for code-based experiments
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
II-Researcher: a new open-source framework designed to aid building search / research agents
II-Agent: a new open-source framework to build and deploy intelligent agents
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
DeerFlow is a community-driven Deep Research framework, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.
[NeurIPS 2025] 🌐 WebThinker: Empowering Large Reasoning Models with Deep Research Capability
A library for making RepE control vectors
[ICLR 2025] General-purpose activation steering library
A library for mechanistic interpretability of GPT-style language models
Representation Engineering: A Top-Down Approach to AI Transparency
Exploring Applications of GRPO
A playbook for systematically maximizing the performance of deep learning models.
This repository includes the official implementation of OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
Entropy Based Sampling and Parallel CoT Decoding
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM …