LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
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LazyLLM vs sre
6 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.
sre
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across local, cloud, and e. sre is open source, written primarily in TypeScript, released under MIT License. Its repository has 1.3K GitHub stars and 198 forks, and was last committed to about 4 months ago.
Visit ↗Every recorded fact
Show differences only| Fact | LazyLLM | sre |
|---|---|---|
| Official SDK installs, 30 days | Not recorded | Not recorded |
| SDK evidence captured | Not recorded | Not recorded |
| GitHub stars | 3.9K | 1.3K |
| Forks | 400 | 198 |
| Open issues | 43 | 33 |
| Last commit | yesterday | 4 months ago |
| Primary language | Python | TypeScript |
| License | Apache License 2.0 | MIT License |
| 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.