LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
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LazyLLM vs ragflow
5 of 12 recorded facts differ. Everything below is source-reported with a capture date. Niched has not published a buyer verdict for this pair, so nothing here declares a winner. A winner only exists inside a defined buyer niche with stated constraints.
ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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Show differences only| Fact | LazyLLM | ragflow |
|---|---|---|
| Official SDK installs, 30 days | Not recorded | Not recorded |
| SDK evidence captured | Not recorded | Not recorded |
| GitHub stars | 3.9K | 86.6K |
| Forks | 400 | 10.2K |
| Open issues | 44 | 2K |
| Last commit | 2 days ago | today |
| Primary language | Python | Go |
| License | Apache License 2.0 | Apache License 2.0 |
| Open source | Yes | Yes |
| Pricing model | Not recorded | Not recorded |
| Founded | Not recorded | Not recorded |
| Categories | AI agents & autonomous workflows | AI agents & autonomous workflows |
Where both compete
Both products are placed in AI agents & autonomous workflows. A category organises the market; it carries no score. See all LazyLLM alternatives.