G

gpt

🔧🔗https://github.com/vllm-project/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

🔧🔗https://github.com/HKUDS/LightRAG

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

🔧🔗https://github.com/langfuse/langfuse 🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, L

🔧🔗https://github.com/All-Hands-AI/OpenHands

🙌 OpenHands: Code Less, Make More

🔧🔗https://github.com/modelscope/data-juicer Making data higher-quality, juicier, and more digestible for foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

🔧🔗https://github.com/modelscope/modelscope-agent

ModelScope-Agent: An agent framework connecting models in ModelScope with the world

🔧🔗https://github.com/modelscope/agentscope

Start building LLM-empowered multi-agent applications in an easier way.

🔧🔗https://github.com/geekan/MetaGPT 🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Infra

🔧🔗https://github.com/e2b-dev/infra Infrastructure that's powering E2B Cloud.

https://github.com/InternLM/InternLM-XComposer InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

🔧🔗https://github.com/gpt-engineer-org/gpt-engineer Specify what you want it to build, the AI asks for clarification, and then builds it.

🔧🔗https://github.com/neurosity/EEG-GPT

Foundational model for the Neurosity Crown