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The ai-agent-platform MCP server was last committed 7d ago and has 2 contributors. Issue health: 100% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

ai-agent-platform MCP Server

Name: ljxpython/ai-agent-platform
Rating: 4.3 (1 reviews)
Author: ljxpython

ljxpython/ai-agent-platform

Score: 82.2 → 0% Rank #1447 MCP Server

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企业级 AI Agent 平台底座，基于 LangGraph 生态体系二次开发，开箱即用（FastAPI + Vue 3 + MCP + Skills + 沙箱工作区 + 长期记忆）

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Overview

ljxpython/ai-agent-platform is a Python tool. 企业级 AI Agent 平台底座，基于 LangGraph 生态体系二次开发，开箱即用（FastAPI + Vue 3 + MCP + Skills + 沙箱工作区 + 长期记忆） Topics: agent, agentic-ai, langgraph, agent-platform, ai-agent, deepagents, deer-flow, fastapi, langchain, mcp, model-context-protocol, open-swe, secondary-development, skills, vue3.

Ranked #1447 out of 24846 indexed tools.

In the top 6% of all indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

agentagentic-ailanggraphagent-platformai-agentdeepagentsdeer-flowfastapilangchainmcpmodel-context-protocolopen-swesecondary-developmentskillsvue3

Score Breakdown

Stars 15% 139

139 stars → growing community

Freshness 25% 7d ago

Last commit 7d ago → actively maintained

Issue Health 25% 100%

1/1 issues closed → responsive maintainer

Contributors 10% 2

2 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 22

Description Good

License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

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Dependents medium impact

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Details

Stars: 139
Forks: 22
Open Issues: 0
Closed Issues: 1
Contributors: 2
Dependents: —
Language: Python
License: —
Last Commit: 7d ago

Matched Queries

topic:mcptopic:model-context-protocol

From the README

<h1 align="center">企业级 AI Agent 平台</h1>

<p align="center"><strong>面向二次开发与企业落地的 AI Agent 平台底座 · 基于 LangGraph 生态体系</strong></p>

<p align="center"><a href="README.en.md">English</a> | 中文</p>

<p align="center">
  
  
  
  
  
  
  
  
  <a href="https://github.com/ljxpython/ai-agent-platform/releases/latest"></a>
</p>

<p align="center">
  <a href="#system-overview">系统总览</a> ·
  <a href="#architecture-diagrams">架构与链路图解</a> ·
  <a href="#agent-ecosystem">内置智能体生态</a> ·
  <a href="#secondary-development">二次开发指南</a> ·
  <a href="#frontend-showcase">前端体验与工作台</a> ·
  <a href="#quick-start">快速开始</a> ·
  <a href="docs/guides/deployment-guide.md">部署手册</a> ·
  <a href="docs/CHANGELOG.md">更新日志</a> ·
  <a href="#acknowledgements">致谢与技术核心</a>
</p>

---

## 项目定位：解决什么问题？

很多团队做 Agent 容易停留在 Demo 阶段：平台治理、运行时执行、状态存储和前端交互全揉成一个“大泥球”，一到生产落地就面临权限缺失、状态丢失、模型切换困难、二开举步维艰的问题。

本项目为解决这一痛点而生，提供一个**可直接用于二次开发、快速搭建企业私有 AI Agent 平台**的工程底座：

- **解耦平台治理与 Agent 执行**：平台层专职负责认证鉴权、多租户/项目隔离、审计回溯、模型 Catalog 治理；Agent 运行时专职负责图编排

Read full README on GitHub →