Popular GitHub Repositories for Context Aware Structured Outputs

? Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Letta (formerly MemGPT) is the stateful agents framework with memory, reasoning, and context management.

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database?.

Structured Text Generation

The official GitHub page for the survey paper "A Survey of Large Language Models".

structured outputs for llms

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

LangGPT: Empowering everyone to become a prompt expert!? Structured Prompt，Language of GPT, 结构化提示词，结构化Prompt

Fast and Accurate ML in 3 Lines of Code

The most reliable AI agent framework that supports MCP.

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

Build effective agents using Model Context Protocol and simple workflow patterns

Turn any webpage into structured data using LLMs

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research

An open-source framework for training large multimodal models.