🤖 AI & 机器学习 — Top 10 AI Agent 工具

模型调用、训练辅助、数据集处理、推理加速——AI 帮 AI 干活的工具集。涵盖 Hugging Face、OpenAI、Ollama、LangChain 等生态,适合需要在工作流中嵌入模型能力的场景。

共收录 2640 个工具 · 显示评分最高 10

1

affaan-m/ECC

精选JavaScript

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Stars
100
2

NousResearch/hermes-agent

精选Python

The agent that grows with you

Stars
100
3

Significant-Gravitas/AutoGPT

精选Python

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Stars
100
4

langgenius/dify

精选TypeScript

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without reb

Stars
100
5

Shubhamsaboo/awesome-llm-apps

精选Python

100+ AI Agent & RAG apps you can actually run — clone, customize, ship.

Stars
100
pip install -r requirements.txt
6

browser-use/browser-use

精选Python

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

Stars
100
uv add browser-use
7

TauricResearch/TradingAgents

精选Python

TradingAgents: Multi-Agents LLM Financial Trading Framework

Stars
100
8

infiniflow/ragflow

精选Go

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Stars
100
9

lobehub/lobehub

精选TypeScript

🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.

Stars
100
10

code-yeongyu/oh-my-openagent

精选TypeScript

omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases. For your Codex, for your OpenCode

Stars
100

💡 如何选择合适的 AI & 机器学习 工具?

评分是怎么算的?+

Trove 的评分包含 4 个维度:文档质量(Doc)、代码质量(Code)、社区活跃度(Community)和近期更新(Activity),总分 25 分,并划分为精选(≥20)、已验证(≥12.5)、社区(<12.5)三档。

如何选择适合自己的工具?+

先看 tier(精选/已验证优先),再看 stars 和近期更新时间,最后看 install_hint 确认安装方式是否符合你的环境(npm/pip/go 等)。

这些工具支持哪些 AI 平台?+

大多数工具以 MCP 协议为标准,兼容 Claude、OpenClaw、Codex、Cursor 等主流 AI 平台。部分工具还提供 OpenAI Function / LangChain Tool 格式。

如何把自己的工具上榜?+

在 GitHub 发布你的工具,带上相关 topic(如 mcp-server、ai-agent-skills),Trove 的爬虫会自动收录并评分。也可以到 opentrove.ai/publish 主动提交。

AI & 机器学习 - 最佳 AI Agent 工具 Top 10 | Trove