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SGR Agent Core — the first SGR open-source agentic framework for Schema-Guided Reasoning

Description

SGR Concept Architecture Open-source agentic framework for building intelligent research agents using Schema-Guided Reasoning. The project provides a core library with a extendable BaseAgent interface implementing a two-phase architecture and multiple ready-to-use research agent implementations built on top of it.

The library includes extensible tools for search, reasoning, and clarification, real-time streaming responses, OpenAI-compatible REST API. Works with any OpenAI-compatible LLM, including local models for fully private research.


Documentation

Get started quickly with our documentation:


Benchmarking

SimpleQA Benchmark Comparison

Performance Metrics on gpt-4.1-mini:

  • Accuracy: 86.08%
  • Correct: 3,724 answers
  • Incorrect: 554 answers
  • Not Attempted: 48 answers

More detailed benchmark results are available here.


Open-Source Development Team

All development is driven by pure enthusiasm and open-source community collaboration. We welcome contributors of all skill levels!

If you have any questions - feel free to join our community chat↗️ or reach out Valerii Kovalskii↗️.

Special Thanks To:

This project is developed by the neuraldeep community. It is inspired by the Schema-Guided Reasoning (SGR) work and SGR Agent Demo↗️ delivered by "LLM Under the Hood" community and AI R&D Hub of TIMETOACT GROUP Österreich↗️

Recent benchmarks and validation experiments were conducted in collaboration with the AI R&D team at red_mad_robot. The lab operates at the intersection of fundamental science and real-world business challenges, running applied experiments and building scalable AI solutions with measurable value.

Learn more about the company: redmadrobot.ai ↗️

Star History

Star History Chart

Metadata

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