Stars
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
LLM Council works together to answer your hardest questions
A clean, modular SDK for building AI agents with OpenHands V1.
Long Range Arena for Benchmarking Efficient Transformers
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Open-source AI hackers to find and fix your app’s vulnerabilities.
A simple SAT solver that implements the DPLL algorithm with unit resolution
Python Implemetation of DPLL algorithm to solve Boolean Satisfiability problem
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
🚀 The fast, Pythonic way to build MCP servers and clients.
Code for Paper: Training Software Engineering Agents and Verifiers with SWE-Gym [ICML 2025]
LLM-aided Hardware Design and Verification
CVC: Circuit Validity Checker. Check for errors in CDL netlist.
A powerful AI coding agent. Built for the terminal.
A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent
ASIC implementation flow infrastructure, successor to OpenLane
A large scale dataset and reconstruction script of both raw prostate MRI measurements and images
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]