S
subzeroclaw
@genlayerlabs
An agent small enough to run anywhere. A minimal agentic runtime in C — ~380 lines, 54KB binary, ~2MB RAM. A skill file + an LLM + a shell loop, no framework.
MIT Commit 1 dag geleden ★ 136
Pijlers en weging
Waarom deze score
- MIT (permissive)
- Last commit 1 day ago
- Top 73% by stars in Smart Home & IoT::Edge Computing
Feiten
- Licentie
- MIT (Permissief)
- Taal
- C
- GitHub-sterren
- 136
- Laatste commit
- 2026-09-25 (1 dag geleden)
- Laatste release
- Onbekend
- OpenSSF Scorecard
- Nog niet gemeten
- Zelf hosten
- Niet vastgesteld
- Maintainer-locatie
- Onbekend
- Bron
- github-search
Alternatieven in Grote taalmodellen
01 87 02 87 03 80 04 79
L
Langfuse
LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents.
D
Dify.ai
Build, test and deploy LLM applications.
F
firecrawl
The web data API to search, scrape, and interact at scale. 🔥
U
unsloth
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.