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2026-08-09 10:34:49 +03:00
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## About
Bantam is a minimalist, dependency-free AI agent specification with reference implementations in **Python** (`bantam.py`, ~300 SLOC), **Go** (`main.go` + `term_*.go`, module `code.luxferre.top/luxferre/bantam`), and **Perl 5** (`bantam.pl`, ~300 SLOC). It provides an agentic loop capable of autonomous tool execution, shell interaction, real-time response streaming, Fibonacci backoff network resilience, and subagent delegation using any OpenAI-compatible completions API.
Bantam is a minimalist, dependency-free AI agent specification with reference implementations in **Python** (`bantam.py`, ~280 SLOC), **Go** (`main.go` + `term_*.go`, module `code.luxferre.top/luxferre/bantam`), and **Perl 5** (`bantam.pl`, ~360 SLOC). It provides an agentic loop capable of autonomous tool execution, shell interaction, real-time response streaming, Fibonacci backoff network resilience, and subagent delegation using any OpenAI-compatible completions API.
The entire philosophy of Bantam is built upon two principles:
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You can pair Bantam with the [Dynagate](https://code.luxferre.top/luxferre/dynagate) LLM gateway to achieve all that.
### How to run on mobiles?
On Android, any current Bantam implementation is easily runnable within the Termux environment. Go implementation is preferred for performance reasons.
On iOS/iPadOS, the easiest way to use Bantam is to run the Perl version inside iSH. Some terminal features may not be available, but the agent itself is fully functional.
## Credits
Created by Luxferre in 2026, released into the public domain with no warranties.