EvoScientist

作者 EvoScientist已验证

🔬 Harness Vibe Research with Self-evolving AI Scientists

4,493
Stars
305
Forks
Python
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/EvoScientist/EvoScientist

快速入门

使用 EvoScientist 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

English | 简体中文

EvoScientist aims to harness vibe research by enabling self-evolving AI scientists that autonomously explore, generate insights, and iteratively improve. 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. 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.

✨ Features

  • 🤖 Multi-Agent Team — 6 sub-agents (plan, research, code, debug, analyze, write) working in concert.

  • 🧠 Self-Evolving Memory — Auto-distilled each turn, self-linking into a knowledge graph that grows across sessions.

  • 🛠️ AutoSkills — Distills recurring patterns from its own memory into reusable skills on a schedule — proposed for your review via /autoskills.

  • 🌐 Multi-Provider — Anthropic, OpenAI, Google, MiniMax, NVIDIA — one config to switch.

  • 📱 Multi-Channel — CLI as the hub; Telegram, Slack, Feishu, WeChat, and more — one agent session.

  • 🖥️ Desktop WebUI — Workspace-panel web app, one terminal via --ui webui.

  • 🔬 Scientific Workflow — Intake → plan → execute → evaluate → write → verify.

  • ⏰ Scheduled Tasks — Automate recurring research on a cron-style schedule — it runs on its own and reports back.

  • 🔄 Code Generation Modes — More Effort (iterative refinement), continuously improving code quality.

  • ⚡ Adaptive Tools — Per-turn tool selection keeps only relevant tools visible, reducing noise.

  • ✂️ Context Editing — Dynamic system prompt rewriting based on conversation state.

  • 🔌 MCP & Skills — Plug in MCP servers or install skills from GitHub on the fly.

[!TIP] Looking for ready-to-use research skills? Check out EvoSkills — powered by EvoScientist's engine and installable skills, the entire end-to-end research lifecycle is covered out of the box. EvoSkills are also compatible with other CLI coding agents.

🔥 News

常见问题

What is EvoScientist?

EvoScientist is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by EvoScientist. 🔬 Harness Vibe Research with Self-evolving AI Scientists. It has 4,493 GitHub stars.

Is EvoScientist safe to use?

Yes. EvoScientist passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install EvoScientist?

Clone the repository with "git clone https://github.com/EvoScientist/EvoScientist" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is EvoScientist written in?

EvoScientist is primarily written in Python. It is open-source under EvoScientist on GitHub, so you can review or fork the full source.

Are there alternatives to EvoScientist?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh EvoScientist against similar tools.

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