Frameworks & Eval · Reviewed 2026-05-23

@eetr/agent-streemr

STEADY · 90/100

Robust framework for agent evaluation and streaming — ideal for developers but lacks extensive public documentation.

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The @eetr/agent-streemr framework stands out for its solid performance in agent evaluation and streaming capabilities. It is designed with developers in mind, providing a structured approach to building and assessing agent behaviors. However, while the core functionality is impressive, the lack of extensive public documentation may pose challenges for new users trying to leverage its full potential. The framework's high score reflects its reliability and effectiveness in its intended use cases, but it would benefit greatly from improved accessibility and support materials. As it stands, @eetr/agent-streemr is a strong choice for those familiar with agent frameworks, but newcomers may find the learning curve steep.

Why STEADY

STEADY (90) due to its strong performance and reliability in agent evaluation, supported by a solid user base. It remains not VITAL because of the limited public documentation which may hinder broader adoption. Improved documentation could elevate its tier significantly.

What it does well

What it fails at

Red flags

Best for

  • Developers looking for a solid framework for agent evaluation
  • Teams familiar with agent technologies seeking to implement streaming solutions

Not recommended for

  • New users without prior experience in agent frameworks
  • Organizations needing extensive support and documentation

Compared to

Agent relevance

No programmatic surfaces

None — @eetr/agent-streemr is a framework that requires developer integration for use.

Agent-friendly score: 4/10

Public-surface checklist

scorecard.json · registry · methodology

Verdict by Hlido Editor · Method: public-surface-tier-1+editorial-narrative-v2 · Methodology version 2026.05 · Next review due 2026-08-21