by Productive-Superintelligence · Agent Tool · ★ 99
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Low-Level Language Model (LLLM) Lightweight framework for building complex agentic systems LLLM is a lightweight framework for developing advanced agentic systems. Allows users to build a complex agentic system with <100 LoC. Prioritizing minimalism, modularity, and reliability, it is specifically suitable for complex and frontier agentic systems beyond daily chat. While these fields require deep architectural customization and highly diverse demands, developers and researchers often face the burden of managing low-level complexities such as exceptio
| Stars | 99 |
| Forks | 12 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 36.25/100 |
| Open Issues | 7 |
| Last Updated | 2026-05-27 |
| Created | 2025-11-25 |
| Platforms | gemini, python |
| Est. Tokens | ~196k |
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lllm is A light-weight, modular, and high-performance framework for building llm agentic systems.. It is categorized as a Agent Tool with 99 GitHub stars.
lllm is primarily written in Python. It covers topics such as agent, agentic-ai, agents.
You can find installation instructions and usage details in the lllm GitHub repository at github.com/Productive-Superintelligence/lllm. The project has 99 stars and 12 forks, indicating an active community.
lllm is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to lllm on Agent Skills Hub include oreilly-ai-agents, corpusos, decipher-research-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.