workflowstacks
multi-agent

Build Multi-Agent LLMs with LazyLLM

Get easy multi-agent LLM apps with LazyLLM,, 3.8k+ GitHub stars
intermediateโฑ 1-2 hours๐Ÿ’ต Free + LLM API costs
3,880 stars410 forksPythonGuide quality 8/10Updated 9/1/2026100% free ยท open source
What it is

Build multi-agent models using LazyLLM to create applications.

Real use case example

"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."

Best insideClaude DesktopCursorCodex CLIGemini Code Assist
When to use it
  • โ€ขYou need to build a conversational AI application with multiple agents interacting with each other
  • โ€ขYou want to prototype and test multi-agent LLM ideas quickly without extensive coding
  • โ€ขYou need a simple way to integrate multiple LLMs into a single application
Ready-to-paste prompt
python examples/simple_app.py --prompt 'Discuss the implications of AI on modern society' --num_agents 3
Heads up: Make sure you have the required Python version (3.8 or later) and the necessary dependencies, including `transformers` and `torch`, installed before running LazyLLM
Saves to your device
Use with Claude
New

Skip the builder โ€” one click puts this in Claude, Cursor, Antigravity and more.

๐Ÿ› ๏ธ Technical setup

Expect 20โ€“40 minutes in a terminal โ€” or let your AI agent drive it.

Try it instantly โ€” no install
Claude Code
mkdir -p ~/.claude/skills/lazyllm && curl -fsSL https://workflowstacks.com/api/skills/lazyllm/claude-skill -o ~/.claude/skills/lazyllm/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go โ€” no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Build Multi-Agent LLMs with LazyLLM works
Codeflow
Free to inspect

Build Multi-Agent LLMs with LazyLLM is a very large Python project (~170k lines across 691 code files, plus 193 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.

Size
Very large codebase
~170k lines ยท 691 code files ยท days to read โ€” use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Python
No API keys detected
Python 99%C++ 1%
Where to start reading
  1. 1
    README.md
    Start here โ€” what it does and how to install it
  2. 2
    pyproject.toml
    Dependencies and the commands it exposes
  3. 3
    lazyllm/__init__.py
    Inside lazyllm/ โ€” the main logic begins here
  4. 4
    examples/__init__.py
    A worked example โ€” copy this to get going
What's in each folder
lazyllm/Core code โ€” the actual logic636 files
docs/Documentation289 files
examples/Examples you can copy30 files
csrc/Folder35 files
scripts/Helper scripts3 files
tests/Tests โ€” proof it works194 files
.github/CI / automation (GitHub Actions)21 files
READMEHas testsDocumentedCI checksExamples includedApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
LazyAGI
Language
Python
Category
multi-agent
Published
6/4/2024

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

Related skills

More multi-agent tools founders pair with this one.

multi-agentโ˜… 98,226
TradingAgents
TradingAgents: Multi-Agents LLM Financial Trading Framework
multi-agentโ˜… 56,689
crewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
multi-agentโ˜… 9,679
Orchestrate AI Agents with Omnigent
Swap harnesses without rewriting code with Omnigent, a framework.
multi-agentโ˜… 4,101
langroid: Harness AI Agents
Streamline AI development with langroid, ideal for founders using multi-agent systems and LLMs
multi-agentโ˜… 1,828
AIWriteX: Automate Content
Get automated content creation for WeChat and more with AIWriteX, used by founders.
multi-agentโ˜… 1,773
VideoClaw: AI Auto Video
Get automated video generation with VideoClaw.