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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Science-Star: A Platform for Building, Extending, and Experimenting with Scientific Agents.
| Date | Stars |
|---|---|
| 2026-07-31 | 752 |
| 2026-08-06 | 752 |
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<h1 align="center">🌟 Science-Star — Your Scientific AI Agents</h1> <p align="center"><i>Build, extend, and experiment with scientific agents. One platform. Zero friction.</i></p> <p align="center"> <a href="https://github.com/Melmaphother/Science-Star/stargazers"><img src="https://img.shields.io/github/stars/Melmaphother/Science-Star" alt="GitHub Repo stars"></a> <a href="https://github.com/Melmaphother/Science-Star/network/members"><img src="https://img.shields.io/github/forks/Melmaphother/Science-Star" alt="GitHub forks"></a> </p> <p align="center"> <img src="assets/overview.png" width="900px" alt="Agent vs Workflow" /><br> <i>Generated by Qwen Image.</i> </p> ## 📢 News <details open> <summary><b>Recent Updates</b></summary> - [2026.02] **Major Update**: More benchmark support, multi-agent architecture (CodeAgent + search agent), refactored run scripts (`run_multi_agent.py` / `run_single_agent.py`), and streamlined project structure. - [2025.08] **Science-Star Init**: We release Science-Star — an open platform for building, extending, and experimenting with scientific agents. </details> ## 🧠 Overview **Science-Star** is your open-source platform for scientific AI agents. Built on the **ReAct** engine with Planning, Action, Memory, and Reflection, it ships with **Humanity's Last Exam (HLE)** and **GAIA** benchmarks, rich tooling (search, crawl, PDF, browser, RAG), and end-to-end visualization. One command to run, one platform to extend—whether you're a researcher or a developer, Science-Star gets you from idea to experiment, fast. > **Also check out [Awesome-Agent-Craft](https://github.com/Melmaphother/Awesome-Agent-Craft)**: Our curated collection of papers and benchmarks on unlocking the potential of Scientific AI Agents. <p align="center"><img src="assets/framework.png" width="900px" alt="RICO Framework" /></p> ## 🔥 Key Features - **🔧 Rich Toolbox** — Search (SerpAPI, Tavily, DuckDuckGo, Wayback), crawl (Jina, crawl4ai), PDF parser, browser use, inspector (doc/audio/visual), retriever (RAG), code execution. Add yours via a clean interface. - **🤖 Multi-Agent & Modular** — CodeAgent + search agent out of the box. One config to switch single ↔ multi. Swap loaders, models, tools—core logic stays untouched. - **📊 HLE & GAIA + Viz** — One-click benchmarks with loaders and scorers. Streamlit dashboards for data exploration and result analysis. Zero setup. ## 🚩 Roadmap - **Domain Tools**: Chemistry, Biology, and other scientific toolkits - **More Architectures**: Beyond ReAct—new agent paradigms - **More Benchmarks**: Additional datasets and evaluation suites ## 🚀 Get Started 1. **Configure environment** — conda, smolagents, API keys, and tests. → [Installation](https://github.com/Melmaphother/Science-Star/blob/main/docs/installation.md) 2. **Run experiments** — HLE & GAIA in one command, customize configs, launch visualization dashboards. → [Quick Start](https://github.com/Melmaphother/Science-Star/blob/main/docs/quickstart.md) 3. **Explore the architecture** — tools, loaders, RAG, configs, and how they connect. → [Project Structure](https://github.com/Melmaphother/Science-Star/blob/main/docs/project_structure.md) ## 🛠️ Extend - **Tools**: `science_star/tools/` — search, crawl, PDF, browser, retriever - **Loaders**: `data/hle_loader.py`, `data/gaia_loader.py` - **Viz**: `visualization/vis_dataset.py`, `visualization/vis_output.py` ## 🧪 Experimental Results Using o4-mini-2025-04-16 as our base model, we have achieved leading results on a small-scale HLE dataset by implementing an **end-to-end pipeline** that leverages the **ReAct** framework with integrated **planning, action, memory and reflection** modules. The project requires further testing and refinement. We invite the open-source community to join us in shaping the future of this work. Let's build together! ## ℹ️ Feedback We welcome all forms of feedback! Please raise an issue for bugs, questions, or suggestions. This helps our team add
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e230b37699190c02, llm:Repository topics: agent, platform, science; description: 'Science-Star: A Platform for Building, Extending, and Experimenting with Scientific Agents.'
matched fp:e230b37699190c02, llm:Repository topics: agent, platform, science; description: 'Science-Star: A Platform for Building, Extending, and Experimenting with Scientific Agents.'
matched fp:e230b37699190c02, llm:Repository topics: agent, platform, science; description: 'Science-Star: A Platform for Building, Extending, and Experimenting with Scientific Agents.'