sgr-deep-research 0.5.0

SGR Agent Core - Schema-Guided Reasoning for building agent

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

Description

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.

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Documentation

Get started quickly with our documentation:

• Project Wiki - Complete project documentation
• Quick Start Guide - Get up and running in minutes
• API Documentation - REST API reference with examples

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Benchmarking

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.

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Open-Source Development Team

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

• SGR Concept Creator // @abdullin
• Project Coordinator & Vision // @VaKovaLskii
• Lead Core Developer // @virrius
• API Development // Pavel Zloi
• Hybrid FC research // @Shadekss
• DevOps & Deployment // @mixaill76

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 ↗️

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