TinyAgents – a Rust based recursive LLM harness

Name: TinyAgents – a Rust based recursive LLM harness
Availability: InStock
Author: enamakel

by enamakel·Jun 30, 2026·4 points·1 comment

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AI Analysis

●●SolidBig BrainNiche Gem

Orchestrates recursive LLM agents in Rust when LangGraph dominates Python.

Strengths

•Typed runtime prevents context rot by enabling recursive sub-agent calls.
•Rust transpiler builds on-demand LLM graphs without Python dependencies.
•Recursion depth tracking and cost rollup built into the core.

Weaknesses

•Rust AI ecosystem remains tiny compared to Python's LangChain.
•Cited research paper date (2025) appears suspicious or potentially futuristic.

Post Description

Hey Guys, I would like to showcase Tiny Agents, which is an entirely Rust-based RLM. RLMs are a recent and fantastic new innovation on how LLMs can be reimagined by designing the LLM agent itself to define how it will orchestrate or create its own sub-agent.

I also could not find any good LLM harness workflow in Rust, so I built this one, taking massive inspiration from LangGraph and LangChain but also incorporating a Rust-based transpiler to build on-demand LLM graphs all in Rust following the RLM idea.

This is the harness that we are currently using in production in openhuman.

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