LazyLLM
Low-code framework for building multi-agent LLM applications.
Updated
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Use cases
About LazyLLM
LazyLLM is listed in our frameworks category and is aimed at builders. Low-code framework for building multi-agent LLM applications. Pricing, as the maker states it: Open source. Maturity: Active. We last checked the official link on 2026-10-16.
What is LazyLLM?
LazyLLM is a low-code development tool for building multi-agent LLM applications. It helps developers create complex AI applications at low cost and keep optimizing them iteratively.
It provides a convenient application-building workflow plus standard processes and tools for the different stages of development.
Sources: the official README and our directory listing, checked 2026-10-18. Official site: docs.lazyllm.ai/en/stable.
Who is LazyLLM for?
Developers who want to assemble multi-agent LLM apps with little code.
LazyLLM at a glance
- Open source: Yes (Apache License 2.0)
- GitHub: LazyAGI/LazyLLM · 3,888 stars (as of Oct 21, 2026)
Key features
- Low-code multi-agent apps
- Standard processes and tools per stage
- Iterative optimization
LazyLLM FAQ
What is LazyLLM?
LazyLLM is a low-code development tool for building multi-agent LLM applications. It helps developers create complex AI applications at low cost and keep optimizing them iteratively.
Who is LazyLLM for?
Developers who want to assemble multi-agent LLM apps with little code.
Is LazyLLM free?
LazyLLM's pricing, as the maker states it: Open source. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Is LazyLLM open source?
Yes. LazyLLM is released under the Apache License 2.0, according to its GitHub repository.
What are alternatives to LazyLLM?
Similar tools include PocketFlow, Ax, agentUniverse, PraisonAI, EvoAgentX and KaibanJS.
LazyLLM ratings and reviews
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LazyLLM alternatives
Other frameworks tools in our directory. See all frameworks tools →
PocketFlow
Minimalist 100-line LLM framework for building agents and workflows.
Ax
DSPy-style framework for building LLM programs and agents in TypeScript.
agentUniverse
Multi-agent framework with reusable collaboration patterns for building LLM agent applications.
PraisonAI
Multi-agent framework for building a self-improving AI workforce with little code.
EvoAgentX
Framework for building, evaluating and automatically evolving LLM agents and agentic workflows.
KaibanJS
JavaScript-native framework for building and managing multi-agent systems with a Kanban-style board for agent tasks.
Related lists
🏆 Ranked in: ChatDev alternatives
🔁 Listed in: ChatDev alternatives
🧭 Task guides: Multi-agent orchestration tools for building AI agents
💲 Estimate API cost: compare per-request and monthly costs for GPT, Claude, Gemini and Grok models.
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