X-iZhang
611 lines
24 KiB
Markdown
611 lines
24 KiB
Markdown
<div align="center">
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<picture>
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<img alt="EvoScientist Logo" src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/logo-dark.svg" width="80%">
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</picture>
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</div>
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<div align="center">
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<a href="https://pypi.org/project/EvoScientist/"><picture>
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</picture></a><a href="https://EvoScientist.github.io/"><picture>
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</picture></a><a href="https://github.com/langchain-ai/deepagents"><picture>
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<img alt="Framework DeepAgents" src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-framework-light.svg" height="28">
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</picture></a><a href="https://github.com/EvoScientist/EvoScientist/blob/main/LICENSE"><picture>
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<img alt="License Apache 2.0" src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/badge-license-light.svg" height="28">
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</picture></a>
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</div>
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---
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<div align="center">
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<a href="https://github.com/EvoScientist/EvoScientist"><img src="https://readme-typing-svg.demolab.com?font=Sans-Serif&pause=1000&color=64B5F6¢er=true&vCenter=true&width=435&lines=Towards+Self-Evolving+AI+Scientists;Harness+Vibe+Research" alt="Typing SVG" /></a>
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</div>
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<div align="center">
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**English | [简体中文](./README.zh-CN.md)**
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</div>
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**EvoScientist aims to harness vibe research by enabling self-evolving AI scientists that autonomously explore, generate insights, and iteratively improve.
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It is designed to be opinionated and ready to use out of the box, offering a living research system that grows alongside evolving agent skills, toolsets, and memory bases.
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Moving beyond traditional human-in-the-loop systems, EvoScientist adopts a human-on-the-loop paradigm, where AI acts as a research buddy that co-evolves with human researchers and internalizes scholarly taste and scientific judgment.**
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<h3>🏆 Awards & Recognition</h3>
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<table>
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<tr>
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<td align="center" valign="top" width="33%">
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<img src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/ICAIS_awards.JPG" height="180" alt="ICAIS 2025 Awards"/>
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<br />
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<sub><b>Best Paper & Appraisal Award</b></sub>
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</td>
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<td align="center" valign="top" width="33%">
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<img src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/ICAIS_best_paper.png" height="180" alt="Best Paper"/>
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<br />
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<sub><b>AI-Generated Best Paper</b></sub>
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</td>
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<td align="center" valign="top" width="33%">
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<img src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/deepresearch_bench_2.png" height="180" alt="DeepResearch Bench II #1"/>
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<br />
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<sub><b>#1 on DeepResearch Bench II</b></sub>
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</td>
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</tr>
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</table>
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<br />
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<table>
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<tr>
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<td align="center" valign="top" width="33%">
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<img src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/DeepResearch_Bench.png" height="180" alt="DeepResearch Bench #1"/>
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<br />
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<sub><b>#1 on DeepResearch Bench</b></sub>
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</td>
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<td align="center" valign="top" width="33%">
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<img src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/asta_bench_code.png" height="180" alt="AstaBench Code & Execution #1"/>
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<br />
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<sub><b>#1 on AstaBench Code & Execution</b></sub>
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</td>
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<td align="center" valign="top" width="33%">
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<img src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/asta_bench_data.png" height="180" alt="AstaBench Data Analysis #1"/>
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<br />
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<sub><b>#1 on AstaBench Data Analysis</b></sub>
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</td>
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</tr>
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</table>
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<h3>⚡ Unified Control, Different Surfaces</h3>
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<table>
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<tr>
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<th width="75%"><p align="center">🖥️ CLI / TUI</p></th>
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<th width="25%"><p align="center">📱 Mobile</p></th>
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</tr>
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<tr>
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<td align="center">
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<video src="https://github.com/user-attachments/assets/a40ba429-bb07-4663-b5b1-77aed1a833b9" autoplay loop muted playsinline width="100%">
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<a href="https://github.com/user-attachments/assets/a40ba429-bb07-4663-b5b1-77aed1a833b9">View demo video</a>
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</video>
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</td>
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<td align="center">
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<video src="https://github.com/user-attachments/assets/4919e6f4-e434-46c9-98c7-35d7482868a6" width="100%" autoplay loop muted playsinline>
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<a href="https://github.com/user-attachments/assets/4919e6f4-e434-46c9-98c7-35d7482868a6">View mobile demo</a>
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</video>
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</td>
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</tr>
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</table>
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## ✨ Features
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- **🤖 Multi-Agent Team** — 6 sub-agents (plan, research, code, debug, analyze, write) working in concert.
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- **🧠 Persistent Memory** — Context, preferences, and findings survive across sessions.
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- **🌐 Multi-Provider** — Anthropic, OpenAI, Google, MiniMax, NVIDIA — one config to switch.
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- **📱 Multi-Channel** — CLI as the hub; Telegram, Slack, Feishu, WeChat, and more — one agent session.
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- **🔬 Scientific Workflow** — Intake → plan → execute → evaluate → write → verify.
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- **🔄 Code Generation Modes** — More Effort (iterative refinement), continuously improving code quality.
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- **⚡ Adaptive Tools** — Per-turn tool selection keeps only relevant tools visible, reducing noise.
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- **✂️ Context Editing** — Dynamic system prompt rewriting based on conversation state.
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- **🔌 MCP & Skills** — Plug in MCP servers or install skills from GitHub on the fly.
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> [!TIP]
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> Looking for ready-to-use research skills? Check out [**EvoSkills**](https://github.com/EvoScientist/EvoSkills) — powered by [**EvoScientist**](https://github.com/EvoScientist/EvoScientist)'s engine and installable skills, the entire end-to-end research lifecycle is covered out of the box. [**EvoSkills**](https://github.com/EvoScientist/EvoSkills) are also compatible with other CLI coding agents.
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## 🔥 News
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- **[18 Apr 2026]** 🥇 Ranked #1 on [DeepResearch Bench](https://deepresearch-bench.github.io/) at submission time! [**Leaderboard**](https://huggingface.co/spaces/muset-ai/DeepResearch-Bench-Leaderboard) 👈
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- **[13 Apr 2026]** 🥇 Reclaimed #1 on [DeepResearch Bench II](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) at submission time! [**Leaderboard**](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) 👈
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- **[26 Mar 2026]** 🥇 Ranked #1 on [AstaBench Data Analysis](https://allenai-asta-bench-leaderboard.hf.space/home) at submission time! [**Leaderboard**](https://allenai-asta-bench-leaderboard.hf.space/data-analysis) 👈
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- **[25 Mar 2026]** 🥇 Ranked #1 on [AstaBench Code & Execution](https://allenai-asta-bench-leaderboard.hf.space/home) at submission time! [**Leaderboard**](https://allenai-asta-bench-leaderboard.hf.space/code-execution) 👈
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- **[13 Mar 2026]** 🚀 [**EvoScientist**](https://github.com/EvoScientist/EvoScientist) officially debuts!
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- **[11 Mar 2026]** ⛳ Technical Report is live! [**Check it out**](https://arxiv.org/abs/2603.08127) 👈
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- **[06 Mar 2026]** 🥇 Ranked #1 on [DeepResearch Bench II](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) at submission time! [**Leaderboard**](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) 👈
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- **[24 Nov 2025]** 🏆 6/6 accepted at [ICAIS 2025](https://icais.ai/) AI Scientist Track — Best Paper & AI Reviewer's Appraisal Award! [**Details**](https://airaxiv.com/papers/?q=zacharyzhang2022%40gmail.com) 👈
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## 📖 Table of Contents
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- [📦 Installation](#-installation)
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- [🔑 Configuration](#-configuration)
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- [⚡ Quick Start](#-quick-start)
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- [🍪 Examples & Recipes](#-examples--recipes)
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- [🔌 MCP Integration](#-mcp-integration)
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- [📱 Channels](#-channels)
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- [📚 Acknowledgments](#-acknowledgments)
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- [🎯 Roadmap](#-ᯓ-roadmap)
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- [🌍 Project Roles](#-project-roles)
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- [🤝 Contributing](#-contributing)
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- [📝 Citation](#-citation)
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## 📦 Installation
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> [!TIP]
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> Requires **Python 3.11+** (**< 3.14**). We recommend [**uv**](https://docs.astral.sh/uv/) or **conda** for dependency management and virtual environments.
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<details>
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<summary> 🪛 Install uv (if you don't have it)</summary>
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```bash
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curl -LsSf https://astral.sh/uv/install.sh | sh
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```
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</details>
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### Quick Install
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```bash
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uv tool install EvoScientist
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```
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> [!NOTE]
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> To update an existing installation to the latest version, use `uv tool upgrade`:
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> ```bash
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> uv tool upgrade EvoScientist
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> ```
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Or install into the current environment instead:
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```bash
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uv pip install EvoScientist
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```
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### Latest from GitHub
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To get the latest patches before a [PyPI](https://pypi.org/project/EvoScientist/) release:
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```bash
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uv pip install git+https://github.com/EvoScientist/EvoScientist.git
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```
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### Development Install
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```bash
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git clone https://github.com/EvoScientist/EvoScientist.git
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cd EvoScientist
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uv sync --dev
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```
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enable pre-commit hooks:
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```bash
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uv run pre-commit install
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```
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<details>
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<summary> Using conda</summary>
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```bash
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conda create -n EvoSci python=3.11 -y
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conda activate EvoSci
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pip install -e ".[dev]"
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```
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</details>
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<details>
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<summary> Using PyPi</summary>
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```bash
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pip install EvoScientist # quick install
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pip install -e ".[dev]" # development install
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```
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</details>
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<details>
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<summary> Optional: Channel dependencies</summary>
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Messaging channel integrations require extra dependencies. Install only what you need:
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```bash
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uv pip install "EvoScientist[telegram]" # Telegram
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uv pip install "EvoScientist[discord]" # Discord
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uv pip install "EvoScientist[slack]" # Slack
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uv pip install "EvoScientist[wechat]" # WeChat
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uv pip install "EvoScientist[qq]" # QQ
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uv pip install "EvoScientist[feishu]" # Feishu
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uv pip install "EvoScientist[all-channels]" # everything
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```
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</details>
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<details>
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<summary> Upgrade to the latest code base </summary>
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```bash
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git pull && uv sync --dev
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```
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</details>
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<p align="right"><a href="#top">🔝Back to top</a></p>
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## 🔑 Configuration
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The easiest way to configure API keys is the interactive wizard:
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```bash
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EvoSci onboard
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```
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> [!TIP]
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> It walks you through provider selection, key validation, model choice, and workspace mode.
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> Supports OAuth sign-in for CLI coding agent subscribers — no API key needed.
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<details>
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<summary> 📟 Manual configuration via environment variables </summary>
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Set at least one LLM provider key and (optionally) a search key:
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```bash
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# Pick one LLM provider
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export ANTHROPIC_API_KEY="sk-..." # Claude — console.anthropic.com
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export OPENAI_API_KEY="sk-..." # GPT — platform.openai.com
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export GOOGLE_API_KEY="AI..." # Gemini — aistudio.google.com/api-keys
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export MINIMAX_API_KEY="sk-..." # MiniMax — platform.minimaxi.com (China, default) or platform.minimax.io (Global)
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export MINIMAX_BASE_URL="https://api.minimax.io/anthropic" # only needed for Global keys (default: https://api.minimaxi.com/anthropic)
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export NVIDIA_API_KEY="nvapi-..." # NIM — build.nvidia.com
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# Web search (optional)
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export TAVILY_API_KEY="tvly-..." # app.tavily.com
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```
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Or use `EvoSci config set` to persist keys in `~/.config/evoscientist/config.yaml`.
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Alternatively, copy the example `.env` file for project-level configuration:
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```bash
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cp .env.example .env # then fill in your keys
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```
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> ⚠️ Never commit `.env` files with real keys. It is already in `.gitignore`.
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</details>
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<p align="right"><a href="#top">🔝Back to top</a></p>
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## ⚡ Quick Start
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```bash
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EvoSci # or EvoScientist — interactive mode (TUI by default)
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```
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> Run `EvoSci -h` for all CLI options.
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> [!TIP]
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> Need to copy long outputs? Use `--ui cli` for classic mode where native terminal copy works freely. On macOS, [iTerm2](https://iterm2.com/) users can also hold `⌥ Option` while dragging to select, then `⌘+C`.
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<details>
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<summary>Common examples</summary>
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```bash
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EvoSci # interactive mode (TUI by default)
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EvoSci -p "your question" # single-shot mode
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EvoSci --workdir /path/to/project # open in a specific directory
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EvoSci -m run # isolated per-session workspace
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EvoSci --ui cli # classic CLI (lightweight)
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EvoSci serve # headless mode — channels only, no interactive prompt
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```
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</details>
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<details>
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<summary>Action Approval</summary>
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By default, shell commands (`execute` tool) require human approval before running. To skip approval prompts:
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```bash
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# Per-session: auto-approve via CLI flag
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EvoSci --auto-approve
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EvoSci -p "query" --auto-approve
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# Persistent: set in config (applies to all future sessions)
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EvoSci config set auto_approve true
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# Or allow only specific command prefixes
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EvoSci config set shell_allow_list "python,pip,pytest,ruff,git"
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```
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During a session you can also reply **3** (Approve all) at any approval prompt to auto-approve for the rest of that session.
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</details>
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<details>
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<summary>Agent Questions</summary>
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The agent can proactively ask you questions when it needs clarification (e.g., dataset choice, experiment direction). This is enabled by default. To disable:
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```bash
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# Persistent: set in config
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EvoSci config set enable_ask_user false
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# Re-enable
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EvoSci config set enable_ask_user true
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```
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</details>
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<details>
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<summary>In-session commands</summary>
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| Command | Description |
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| ------- | ----------- |
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| `/current` | Show current session info |
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| `/threads` | List recent sessions |
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| `/resume` | Resume a previous session |
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| `/delete` | Delete a saved session |
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| `/new` | Start a new session |
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| `/clear` | Clear chat history |
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| `/skills` | List installed skills |
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| `/install-skill <src>` | Add a skill from path or GitHub |
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| `/uninstall-skill <name>` | Remove an installed skill |
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| `/mcp` | Manage MCP servers |
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| `/channel` | Configure messaging channels |
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| `/help` | Show available commands |
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| `/exit` | Quit |
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</details>
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<details>
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<summary>Script Inference</summary>
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```python
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from EvoScientist import EvoScientist_agent
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from langchain_core.messages import HumanMessage
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from EvoScientist.utils import format_messages
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thread = {"configurable": {"thread_id": "1"}}
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last_len = 0
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for state in EvoScientist_agent.stream(
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{"messages": [HumanMessage(content="Hi?")]},
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config=thread,
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stream_mode="values",
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):
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msgs = state["messages"]
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if len(msgs) > last_len:
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format_messages(msgs[last_len:])
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last_len = len(msgs)
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```
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</details>
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<p align="right"><a href="#top">🔝Back to top</a></p>
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## 🍪 Examples & Recipes
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A curated collection of official examples, advanced usage patterns, and community-contributed recipes to help you get the most out of EvoScientist.
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👉 **[Browse all examples & recipes](https://github.com/EvoScientist/EvoScientist/tree/main/docs#-examples--recipes)**
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<p align="right"><a href="#top">🔝Back to top</a></p>
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## 🔌 MCP Integration
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Add external tools via [MCP](https://modelcontextprotocol.io/) servers with a single command:
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```bash
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# Usage
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EvoSci mcp add <name> <command> [-- args...]
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# Example
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EvoSci mcp add sequential-thinking npx -- -y @modelcontextprotocol/server-sequential-thinking
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```
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> [!TIP]
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> For command options, config fields, tool routing, wildcard filtering, and troubleshooting, see the **[MCP Integration Guide](https://github.com/EvoScientist/EvoScientist/tree/main/EvoScientist/mcp#model-context-protocol-integration)**.
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## 📱 Channels
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Connect messaging platforms so they share the same agent session as the CLI:
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```bash
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# Usage
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|
EvoSci channel setup <channel>
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# Example
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|
EvoSci channel setup telegram
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|
```
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Multiple channels can run concurrently — comma-separate names in the config:
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|
|
```yaml
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channel_enabled: "telegram,slack,feishu,qq"
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```
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The channel can also be started interactively with `/channel` in the CLI session.
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|
|
> [!TIP]
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|
> For per-channel setup guides, capability matrix, architecture details, and troubleshooting, see the **[Channel Integration Guide](https://github.com/EvoScientist/EvoScientist/tree/main/EvoScientist/channels#channels)**.
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<p align="right"><a href="#top">🔝Back to top</a></p>
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|
|
|
## 📚 Acknowledgments
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|
|
|
This project builds upon the following outstanding open-source works:
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|
|
- [**LangChain**](https://github.com/langchain-ai/langchain) — A framework for building agents and LLM-powered applications.
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- [**DeepAgents**](https://github.com/langchain-ai/deepagents) — The batteries-included agent harness.
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|
|
|
We thank the authors for their valuable contributions to the open-source community.
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<p align="right"><a href="#top">🔝Back to top</a></p>
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|
|
|
## 🎯 ᯓ➤ Roadmap
|
|
|
|
Coming soon:
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|
- [x] 🖥️ Full-screen TUI and classic CLI interfaces
|
|
- [x] 📻 EvoMemory v1.0 shipped
|
|
- [x] ⚒️ 200+ predefined skills built in
|
|
- [x] 🧩 Built-in research-lifecycle skills shipped
|
|
- [x] 👋 Human-in-the-loop action approval
|
|
- [x] 🦾 Agent-initiated human clarification
|
|
- [x] 📑 Technical report on the way
|
|
- [x] 🔐 OAuth sign-in (CLI coding agent subscribers)
|
|
- [ ] 📺 Web app with workspace UI
|
|
- [ ] 📹 Demo and tutorial in the works
|
|
- [ ] 📊 Benchmark suite to be released
|
|
- [ ] ⏰ Scheduled tasks for the core system planned
|
|
|
|
Stay tuned — more features are on the way!
|
|
|
|
<p align="right"><a href="#top">🔝Back to top</a></p>
|
|
|
|
## 🌍 Project Roles
|
|
|
|
#### Core Contributors
|
|
|
|
<table>
|
|
<tbody>
|
|
<tr>
|
|
<td align="center">
|
|
<a href="https://x-izhang.github.io/">
|
|
<img src="https://x-izhang.github.io/author/xi-zhang/avatar_hu13660783057866068725.jpg"
|
|
width="100" height="100"
|
|
style="object-fit: cover; border-radius: 20%;" alt="Xi Zhang"/>
|
|
<br />
|
|
<sub><b>Xi Zhang</b></sub>
|
|
</a>
|
|
</td>
|
|
<td align="center">
|
|
<a href="https://youganglyu.github.io/">
|
|
<img src="https://youganglyu.github.io/images/profile.png"
|
|
width="100" height="100"
|
|
style="object-fit: cover; border-radius: 20%;" alt="Yougang Lyu"/>
|
|
<br />
|
|
<sub><b>Yougang Lyu</b></sub>
|
|
</a>
|
|
</td>
|
|
<td align="center">
|
|
<a href="https://din0s.me/">
|
|
<img src="https://din0s.me/images/pk.jpg"
|
|
width="100" height="100"
|
|
style="object-fit: cover; border-radius: 20%;" alt="Dinos Papakostas"/>
|
|
<br />
|
|
<sub><b>Dinos Papakostas</b></sub>
|
|
</a>
|
|
</td>
|
|
<td align="center">
|
|
<a href="https://go0day.github.io/">
|
|
<img src="https://go0day.github.io/authors/admin/avatar_hu_ee1051aceae96124.png"
|
|
width="100" height="100"
|
|
style="object-fit: cover; border-radius: 20%;" alt="Yuyue Zhao"/>
|
|
<br />
|
|
<sub><b>Yuyue Zhao</b></sub>
|
|
</a>
|
|
</td>
|
|
<td align="center">
|
|
<a href="https://muxincg2004.github.io/">
|
|
<img src="https://muxincg2004.github.io/resume_avatar.jpg"
|
|
width="100" height="100"
|
|
style="object-fit: cover; border-radius: 20%;" alt="Ziheng Zhang"/>
|
|
<br />
|
|
<sub><b>Ziheng Zhang</b></sub>
|
|
</a>
|
|
</td>
|
|
<td align="center">
|
|
<a href="https://xiaohuiyan.github.io/">
|
|
<img src="https://xiaohuiyan.github.io/img/me.jpg"
|
|
width="100" height="100"
|
|
style="object-fit: cover; border-radius: 20%;" alt="Xiaohui Yan"/>
|
|
<br />
|
|
<sub><b>Xiaohui Yan</b></sub>
|
|
</a>
|
|
</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
|
|
#### Contributors
|
|
|
|
Jan Piotrowski, Wiktor Cupiał, Jakub Kaliski, Jakub Filipiuk, Xinhao Yi, Shuyu Guo, Andreas Sauter, Wenxiang Hu, Jacopo Urbani, Zaiqiao Meng, Jun Luo, Lun Zhou
|
|
|
|
> <a href="https://xiaoyi.huawei.com/chat/research"><img src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/xiaoyi-deepresearch.webp" height="16" alt="Xiaoyi DeepResearch" align="center" /></a> [*Xiaoyi DeepResearch*](https://xiaoyi.huawei.com/chat/research) *Team* and the wider open-source community contribute to this project.
|
|
|
|
For any inquiries or collaboration opportunities, please contact: [**EvoScientist.ai@gmail.com**](mailto:evoscientist.ai@gmail.com)
|
|
|
|
<p align="right"><a href="#top">🔝Back to top</a></p>
|
|
|
|
## 🤝 Contributing
|
|
|
|
<img align="right" alt="EvoScientist Team" src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/EvoScientist_team.png" width="20%" />
|
|
|
|
We welcome contributions from developers, researchers, and AI coding agents at all levels. Our [Contributing Guidelines](./CONTRIBUTING.md) are designed for both humans and AI agents — covering architecture, patterns, extension guides, and code standards to help you contribute safely and effectively.
|
|
|
|
### 👥 Community Contributors
|
|
|
|
⚗️ Join the EvoScientist community to discuss AI-driven research, share experiment results, and help shape the future of automated scientific discovery.
|
|
|
|
- [Discord](https://discord.gg/AZ9ZMXkunY) — Ask questions, share findings, and collaborate with researchers and developers in real-time.
|
|
- [WeChat](https://github.com/EvoScientist/EvoScientist/blob/main/.github/assets/cn_info.md) — Connect with our Chinese-speaking research community.
|
|
|
|
<img src="https://raw.githubusercontent.com/EvoScientist/EvoScientist/main/.github/assets/wechat_group.jpeg" alt="WeChat QR Code" width="200"/>
|
|
|
|
Every contribution brings us one step closer to a future where AI accelerates scientific breakthroughs for all of humanity.
|
|
|
|
<a href="https://github.com/EvoScientist/EvoScientist/graphs/contributors">
|
|
<img src="https://contrib.rocks/image?repo=EvoScientist/EvoScientist" />
|
|
</a>
|
|
|
|
<!-- ### 📈 Star History
|
|
|
|
[](https://www.star-history.com/?repos=EvoScientist%2FEvoScientist&type=date&legend=bottom-right) -->
|
|
|
|
<p align="right"><a href="#top">🔝Back to top</a></p>
|
|
|
|
## 📝 Citation
|
|
|
|
If you find our paper and code useful in your research and applications, please cite using this BibTeX:
|
|
|
|
```bibtex
|
|
@article{evoscientist2026,
|
|
title={EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery},
|
|
author={Yougang Lyu and Xi Zhang and Xinhao Yi and Yuyue Zhao and Shuyu Guo and Wenxiang Hu and Jan Piotrowski and Jakub Kaliski and Jacopo Urbani and Zaiqiao Meng and Lun Zhou and Xiaohui Yan},
|
|
journal={arXiv preprint arXiv:2603.08127},
|
|
year={2026}
|
|
}
|
|
```
|
|
|
|
<p align="right"><a href="#top">🔝Back to top</a></p>
|
|
|
|
## 📜 License
|
|
|
|
This project is licensed under the Apache License 2.0 - see the [LICENSE](./LICENSE) file for details.
|
|
|
|
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|