LazyLLM: Build Multi‑Agent LLM Apps Quickly with Minimal Code
From the repo · “Easiest and laziest way for building multi-agent LLMs applications.”
Build multi-agent models using LazyLLM to create applications.
"A founder wants to automate a workflow where new GitHub contributors are added to a Slack channel and receive a welcome message. They use LazyLLM to create a multi-agent model that pulls contributor data from GitHub, adds it to the Slack channel, and sends the welcome message."
- •You need to build a conversational AI application with multiple agents interacting with each other
- •You want to prototype and test multi-agent LLM ideas quickly without extensive coding
- •You need a simple way to integrate multiple LLMs into a single application
python examples/simple_app.py --prompt 'Discuss the implications of AI on modern society' --num_agents 3
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/lazyllm && curl -fsSL https://workflowstacks.com/api/skills/lazyllm/claude-skill -o ~/.claude/skills/lazyllm/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
LazyLLM: Build Multi‑Agent LLM Apps Quickly with Minimal Code is a very large Python project (~187k lines across 712 code files, plus 222 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2pyproject.tomlDependencies and the commands it exposes
- 3lazyllm/__init__.pyInside lazyllm/ — the main logic begins here
- 4examples/__init__.pyA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/lazyllm && curl -fsSL https://workflowstacks.com/api/skills/lazyllm/claude-skill -o ~/.claude/skills/lazyllm/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
Automate your meeting summaries
A private form takes any transcript (from Zoom, Meet, Otter, Fireflies) and emails you back a structured summary: a TL;DR, the decisions made, and action items with owners.
Outcome guideTurn meeting notes into a summary email automatically
Paste the transcript into a private form and the workflow writes and emails a concise recap — decisions, owners, open questions — that people will actually read.
Related skills
More multi-agent tools founders pair with this one.