AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.
This GitHub repository contains a collection of example files demonstrating various use cases and configurations for the llamafiles tools, including examples:
* **System Administration:** Scripts and configurations for Ubuntu, Raspberry Pi 5, and macOS.
* **LLM Interaction:** Examples of prompts and interactions with LLMs like Mixtral and Dolphin.
* **Text Processing:** Scripts for summarizing text, extracting information, and formatting output.
* **Development Tools:** Examples related to Git, Emacs, and other development tools.
* **Hardware Monitoring:** Scripts for monitoring GPU and NVMe drive status.
The official Python SDK for Model Context Protocol servers and clients. It allows building MCP clients, servers, and provides tools for interacting with LLMs in a standardized way.
Rensa is a high-performance MinHash suite written in Rust with Python bindings. It's designed for efficient similarity estimation and deduplication of large datasets. It offers R-MinHash, C-MinHash, and OptDensMinHash variants, significantly faster than datasketch while maintaining comparable accuracy.
This is a GitHub repository for a Reinforcement Learning Tic Tac Toe project. It contains a single Python file, TicTacToeRL.py. The repository has 0 stars and 0 forks as of the current data.
ChatDBG is an AI-based debugging assistant for C/C++/Python/Rust code that integrates large language models into a standard debugger (pdb, lldb, gdb, and windbg) to help debug your code. It can provide error diagnoses and suggest fixes.
Model Context Protocol server to run Python code in a sandbox using Pyodide in Deno, isolated from the operating system.
This repository organizes public content to train an LLM to answer questions and generate summaries in an author's voice, focusing on the content of 'virtual_adrianco' but designed to be extensible to other authors.
The project involves a software-defined GPS receiver using the legacy C/A code to produce clock bias and location estimates. It can run from pre-recorded sample files or an RTL-SDR with a web-based dashboard for visualization. The project is written in Python, utilizing libraries like aiohttp, NumPy, Pydantic, and pyrtlsdr.
Browser Use is a library that enables AI agents to interact with web browsers, making websites accessible for automated tasks. It includes features for browser automation, agent memory, and various demos showcasing its capabilities.