Large Language Models

https://github.com/joaomdmoura/crewAI Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

crewai.com

https://github.com/run-llama/llama_index LlamaIndex is a data framework for your LLM applications

🔧🔗https://github.com/Skyvern-AI/skyvern

Automate browser-based workflows with LLMs and Computer Vision 🕸️🔗 www.skyvern.com/

🔧🔗https://github.com/Aider-AI/aider

aider is AI pair programming in your terminal

🔧🔗https://github.com/modelscope/ms-swift

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) Use PEFT or Full-parameter to finetune 400+ LLMs or 100+ MLLMs.

🔧🔗https://github.com/Haidra-Org/horde-sdk

A python library to interact with AI-Horde's free generative AI APIs

🔧🔗https://github.com/huggingface/lerobot

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

🔧🔗https://github.com/aurelio-labs/semantic-router

Superfast AI decision making and intelligent processing of multi-modal data.

🔧🔗https://github.com/Cinnamon/kotaemon

An open-source RAG-based tool for chatting with your documents. 🕸️🔗https://cinnamon.github.io/kotaemon/

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure. burr.dagworks.io

https://github.com/ComposioHQ/composio Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

https://github.com/janhq/nitro.git now: https://github.com/janhq/cortex.git Drop-in, local AI alternative to the OpenAI stack. Multi-engine (llama.cpp, TensorRT-LLM, ONNX). Powers 👋 Jan

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

https://github.com/mlc-ai/mlc-llm Universal LLM Deployment Engine with ML Compilation

https://github.com/run-llama/LlamaIndexTS LlamaIndex is a data framework for your LLM applications

https://github.com/lmstudio-ai/lms LMStudio in your terminal https://lms.dev/

https://github.com/InternLM/lmdeploy LMDeploy is a toolkit for compressing, deploying, and serving LLMs. 🔗 lmdeploy.readthedocs.io/en/latest/

🔧🔗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/evalscope A streamlined and customizable framework for efficient large model evaluation and performance benchmarking

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

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