Showing 261-280 of 1,105 projects
Build effective AI agents using Model Context Protocol and simple workflow patterns in Python.
A Python-based platform that uses LLMs to track and extract websites, RSS feeds, and social media for developers.
A powerful AI-powered development platform that integrates with popular tools and frameworks to boost developer productivity.
A curated collection of research papers on large language model-based agents and their potential applications.
Accessible large language models via k-bit quantization for PyTorch developers working with AI tools.
Semantic cache for large language models, fully integrated with LangChain and llama_index.
Automate your mobile devices with natural language commands using an LLM-agnostic mobile agent.
A comprehensive SDK for running frontier LLMs and VLMs on multiple hardware platforms with day-0 model support.
An AI framework that adds engineering guardrails to prompt engineering for various languages.
A free, open-source MCP server for any GitHub project that helps developers with AI-powered code completion and exploration.
ERNIE is an industrial-grade development toolkit based on PaddlePaddle for building AI-powered applications.
Deep Researcher is an open-source, Python-based tool for building and managing AI models on private data.
A multilingual voice understanding model for AI-powered audio analysis and transcription.
LMDeploy is a toolkit for compressing, deploying, and serving large language models (LLMs).
A comprehensive collection of resources for large language models, including AI coding tools, MCP frameworks, and more.
Supercharge your large language models (LLMs) with the fastest key-value cache layer for lightning-fast inference.
ChatLaw is a powerful large language model (LLM) tailored for Chinese legal applications.
This repo is an experiment where ChatGPT manages a real-money micro-cap stock portfolio.
Optimized file parser for LLM ingestion with no loss, supporting PDFs, Docx, and PPTx.
A Python framework for building AI security tools and conducting cybersecurity pentesting with AI.
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