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The tool-calling loop for LLM agents; iterator-first, protocol-hooked, one dependency.

6 starsPython

Looplet – a 0-dep agent loop you own

by hsaghir·Apr 29, 2026·2 points·0 comments

AI Analysis

●●SolidBig BrainNiche Gem

Iterator-first design beats black-box frameworks like LangChain for debugging.

Strengths
  • Zero runtime dependencies means no bloat in your production container.
  • Yielding every step lets you inject custom logic between tool calls easily.
  • Protocol hooks allow observing or steering decisions without forking the library.
Weaknesses
  • Python-only scope limits reach compared to TypeScript agent ecosystems.
  • Lacks a visual debugger or UI, relying entirely on print statements and logs.
Target Audience

Python developers building custom LLM agents

Similar To

LangChain · LlamaIndex · Haystack

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