Large language models (LLMs) are commonly used for natural language processing tasks like text generation, translation, and summarization. Find llm links shared by the community.

How coding agents use tools, memory, and repo context to make LLMs work better in practice

MLX LM is a Python package for generating and fine-tuning large language models on Apple silicon, integrating with Hugging Face Hub.

MNN is a lightweight deep learning framework optimized for on-device inference and training, supporting various AI models and platforms.

mistral.rs is a fast, flexible tool for LLM inference, supporting Rust and Python SDKs with multimodal capabilities.

A unified hub for AI models, enabling cross-conversion to OpenAI, Claude, and Gemini formats.

Local Deep Research is an AI research assistant that prioritizes privacy and enables users to create a searchable knowledge base.

BAML is an open-source prompting language that enhances AI workflows through schema engineering and type safety.

A flexible Go toolkit for building and deploying AI agents, optimized for cloud-native applications.

PraisonAI is a low-code multi-agent framework for automating tasks and solving complex challenges across messaging platforms.

A repository of extracted system prompts from various AI chatbots, updated regularly for transparency and research.