LLM Visualization is an AI chat or model resource for writing, coding, research, prompts, and assistant workflows.
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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.
Local is an AI tool or resource for chat, research, automation, media generation, or model development.
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.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
Open-source governed shared memory for AI agent fleets with cross-agent recall, permissions, audit trails, and persistent memory.
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.
JARVIS, a system to connect LLMs with ML community.
LLM-powered multiagent persona simulation for imagination enhancement and business insights.
📦 Open-Source Models (via Nebius).
Full-stack AI platform focused on multimodal agents and consumer-scale deployment.
Self-updating documentation for startups, enterprises, and agents.
Organize your company's data and put agents to work.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
ML Visualized supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
mlsysbook supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.