by NiJingzhe · Agent Tool · ★ 78
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
LLM as Function, Prompt as Code, Context-Centric Chinese README Update Notes (0.8.4) PyRepl terminal isolation: PyRepl worker processes now isolate fd // from host terminals, capture direct fd writes and subprocess stdout/stderr into tool output, and drop late child-process output so
| Stars | 78 |
| Forks | 4 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 37.75/100 |
| Last Updated | 2026-05-28 |
| Created | 2025-04-16 |
| Platforms | python |
| Est. Tokens | ~298k |
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SimpleLLMFunc is A simple and well-tailored LLM application framework that enables you to seamlessly integrate LLM capabilities in the most "Code-Centric" and "Context-Centric" manner. LLM As Function, Prompt As Code.. It is categorized as a Agent Tool with 78 GitHub stars.
SimpleLLMFunc is primarily written in Python. It covers topics such as agent, agent-development-framework, agent-framework.
You can find installation instructions and usage details in the SimpleLLMFunc GitHub repository at github.com/NiJingzhe/SimpleLLMFunc. The project has 78 stars and 4 forks, indicating an active community.
SimpleLLMFunc is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to SimpleLLMFunc on Agent Skills Hub include awesome-ai-persona-skills, ai-agent-tools-catalog, mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.