Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
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Latest Kimi model with stronger long-context coding and agent stability.
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
Integrate with providers using LangChain Python.
Gain control with LangGraph to design agents that reliably handle complex tasks.
Agentic components of the Llama Stack APIs.
Local is an AI tool or resource for chat, research, automation, media generation, or model development.
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.
Open-source governed shared memory for AI agent fleets with cross-agent recall, permissions, audit trails, and persistent memory.
Memory-oriented tooling for AI agents, focused on persistent context, recall, and more structured long-term memory behavior.
Build and manage real-life ML, AI, and data science projects with Metaflow.
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.
Agents Capable of Self-Editing Their Prompts / Python Code.
Build AI agents and multi-agent workflows in.NET, Python, and Go with Microsoft Agent Framework.
📦 Open-Source Models (via Nebius).
Build your AI Second Brain with a team of AI agents and multi-agent workflow.
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
Place to meet for humans, agents and NPCs with MCP (Model Context Protocol) client/server integration.
Speed up your Pandas workflows by changing a single line of code.
An open source, serverless framework for building intelligent agents and APIs in Go or AssemblyScript (a TypeScript-like language).