by howl-anderson · Agent Tool · ★ 439
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AgentSilex A transparent, minimal, and hackable agent framework for developers who want full control. Read the entire codebase in one sitting. Understand exactly how your agents work. No magic, no hidden complexity. Why AgentSilex? While large agent frameworks offer extensive features, they often become black boxes that are hard to understand, customize, or debug. AgentSilex takes a different approach: Transparent: Every line of code is readable and understandable. No magic, no hidden complexity. Minimal: Core implementation in 300 lines. You can read the entire codebase in one sitting. Hackable: Designed for modification. Fork it, customize it, make it yours. Universal LLM Support: Built on LiteLLM, seamlessly switch between 100+ models - OpenAI, Anthropic, Google Gemini, DeepSeek, Azure, Mistral, local LLMs, and more. Change providers with one line of code. Educational: Perfect for learning how agents actually work under the hood. Who is this for? Companies who need a customizable foundation for their agent systems Develope
| Stars | 439 |
| Forks | 42 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 40.7/100 |
| Last Updated | 2026-01-02 |
| Created | 2025-05-01 |
| Platforms | gemini, python |
| Est. Tokens | ~45k |
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agentsilex is A transparent, minimal, and hackable agent framework. ~300 lines of readable code. Full control, no magic.. It is categorized as a Agent Tool with 439 GitHub stars.
agentsilex is primarily written in Python. It covers topics such as agent-framework, ai-agent, anthropic.
You can find installation instructions and usage details in the agentsilex GitHub repository at github.com/howl-anderson/agentsilex. The project has 439 stars and 42 forks, indicating an active community.
agentsilex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentsilex on Agent Skills Hub include skene, LightAgent, tools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.