Lists (1)
Stars
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Lightning-Fast RL for LLM Reasoning and Agents. Made Simple & Flexible.
FlashInfer: Kernel Library for LLM Serving
Ultra-high-performance, secure, all-in-one acceleration engine for developer resources that significantly outperforms traditional solutions, delivering unified, efficient acceleration across code r…
Build, evaluate and train General Multi-Agent Assistance with ease
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Ongoing research training transformer models at scale
Microsoft PowerToys is a collection of utilities that help you customize Windows and streamline everyday tasks
PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.
SGLang is a fast serving framework for large language models and vision language models.
An extremely fast Python package and project manager, written in Rust.
RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.
A high-throughput and memory-efficient inference and serving engine for LLMs
[ICLR 2025 Oral] Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation.
The absolute trainer to light up AI agents.
how to optimize some algorithm in cuda.
slime is an LLM post-training framework for RL Scaling.
🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
Linux virtual machines, with a focus on running containers
Open Source framework for voice and multimodal conversational AI
A Model Context Protocol (MCP) server that provides structured spec-driven development workflow tools for AI-assisted software development, featuring a real-time web dashboard and VSCode extension …
Google Cloud Client Library for Python