openagent
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
这是范围最广的一组:聊天界面、SDK 和框架、提示词与评测工具,以及各种基于大语言模型的应用。很多项目可以接入多家服务商的模型,有些还能在你自己的硬件上运行模型。
打算用在产品里的话,先确认三件事:许可证——有些热门项目限制商用;是否支持你正在用的模型服务商;以及它是否还在维护。每个项目页上的「秒懂」卡片会根据 GitHub 数据回答许可证和维护这两个问题。
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
🤖📐专为数学建模设计的 Agent & skills ,自动完成数学建模,生成一份完整的可以直接提交的论文。 An Agent Designed for Mathematical Modeling ,Automatically complete mathmodel and generate a complete paper ready for submission.
AI가 쓴 한글을 사람 글처럼 윤문하는 Claude 스킬 — Korean AI-text humanizer: detects and rewrites translationese, mechanical parallelism, and 71 other AI tells
Agent-ready RPA suite with out-of-the-box automation tools. Built for individuals and enterprises.
Autonomous Hacking Agent for Red Team
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
Edit Banana: A framework for converting statistical formats into editable.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
本地优先的医疗保健 AI:临床 NER 和 HIPAA PII 去识别,100% 在设备上运行。 2,200 多个医疗模型、21 种语言、Apple MLX + Python,无需云,患者数据不会离开您的网络。阿帕奇-2.0。
Adversary simulation and Red teaming platform with AI
Implement a reasoning LLM in PyTorch from scratch, step by step
⚡️ Open-source AI Gateway — Use any SDK to call 100+ LLMs. Built-in failover, load balancing, cost control & end-to-end tracing.
Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM
A Next-Generation Training Engine Built for Ultra-Large MoE Models
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
UI over MCP. Create next-gen UI experiences with the protocol and SDK!
该项目围绕「The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs.」构建,适用于实际场景的开源实践,提供可复用的工具链与集成方式。
Argilla 是一款供人工智能工程师和领域专家构建高质量数据集的协作工具。
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
My Python scripts to make high-quality figures for publications in top AI conferences and journals.
AutoRAG: Now your agent can find anything in your computer. It gets smarter if you are using it frequently.