ai

Imported as snapshot from GitHub: https://github.com/agentcontrol/agent-control

Centralized agent control plane for governing runtime agent behavior at scale. Configurable, extensible, and production-ready.

Imported as snapshot from GitHub: https://github.com/astronomer/agents

AI agent tooling for data engineering workflows.

Imported as snapshot from GitHub: https://github.com/run-llama/llama-agents

Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

Imported as snapshot from GitHub: https://github.com/Bessouat40/RAGLight

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

Imported as snapshot from GitHub: https://github.com/microsoft/Trace

End-to-end Generative Optimization for AI Agents

Imported as snapshot from GitHub: https://github.com/neural-maze/philoagents-course

When Philosophy meets AI

Imported from GitHub: https://github.com/NevaMind-AI/memU

Memory for 24/7 proactive agents like OpenClaw.