lazyllm-skill

What problem does it solve?

LazyLLM provides a unified toolkit to build and orchestrate multi-agent AI applications, simplifying complex workflows that involve Flow, RAG, and Agent domains.

Core Features & Use Cases

• Flow orchestration for linear, branching, parallel, and loop data pipelines.
• RAG systems for knowledge-based QA with document retrieval and vectorization.
• Agent development for single or multi-agent systems with tools, memory, planning, and web interfaces.
• Use Case: Build an enterprise data assistant that retrieves documents, plans tasks with agents, and responds with synthesized results.

Quick Start

Start by loading the LazyLLM Skill and issuing a high-level instruction such as: "Create a multi-agent workflow that fetches docs, runs a plan, and answers a user question."