Voice-first AI Assistant for online meetings that can actively participate and solve tasks live during the meeting.
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Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
A python package that integrates an LLM copilot inside the keras model development workflow.
A series of open-source MoE language models by Moonshot AI for agentic tasks. opensource.
Klavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
Machine Learning Pipelines for Kubeflow.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
last30days-cn 是一个 AI Agent 技能(Skill),能够自动搜索中国互联网 8 大主流平台最近 30 天的内容,综合分析后生成有据可查的研究报告。
Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.
LLMFlows is a framework for building simple, explicit, and transparent LLM applications such as chatbots, question-answering systems, and agents.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Evolve Agent Development Framework. From atomic components and development frameworks to core scenario Agents.
Python module that helps you build complex pipelines of batch jobs.
A framework for Claude Opus to intelligently orchestrate subagents.
Magenta's official GitHub repository.
TypeScript-native AI agent framework for web developers. Workflow automation with typed tools and integrations. MIT.
The Multi-Agent Framework: Given one line requirement, return PRD, design, tasks, repo.
The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo.
JARVIS, a system to connect LLMs with ML community.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
Speed up your Pandas workflows by changing a single line of code.