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.
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
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.
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 reach out to Valerii Kovalskii
This project is developed by the neuraldeep community. It is inspired by the Schema-Guided Reasoning (SGR) work and SGR Agent Demo
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