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AtlasRepo

LazyAGI/LazyLLM — Easiest and laziest way for building multi-agent LLMs applications.

Description and use

LazyAGI/LazyLLM provides a lightweight framework for rapidly building multi‑agent applications powered by large language models. By abstracting orchestration, AI/ML integration, and front‑end interfacing into simple, reusable components, it lets developers create complex LLM‑driven workflows with minimal code and configuration. The project is open‑source and targets developers who want an easy, “lazy” way to prototype and deploy AI‑enhanced multi‑agent systems.

Problem

LazyAGI/LazyLLM helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

  • coordinate multi-agent workflows
  • add tool-use pipelines
  • standardize agent memory

Evidence

Easiest and laziest way for building multi-agent LLMs applications.

Source

  • Record date: 2026-09-11T07:49:06.221Z