No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Shy2593666979 · MCP Server · ★ 872
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AgentChat safe to install? View the security audit →
🌟 一个基于大语言模型的现代化智能对话系统 🌟 支持多Agent协作 • 知识库检索 • 工具调用 • MCP服务器集成 • 实时对话 🚀 快速开始 • 📦 部署 • 📖 在线文档 • 💻 在线体验 • 💬 微信群聊 最新版本更新日志 (2026-3-8) 支持MiniO本地对象存储 现在支持OSS和MiniO两种对象存储方式，参考文档: 本地安装MiniO，感谢提供Issue的朋友: �
| Stars | 872 |
| Forks | 102 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 56.5117947580852/100 |
| Open Issues | 28 |
| Last Updated | 2026-08-27 |
| Created | 2024-08-20 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~19k |
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AgentChat is AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建. It is categorized as a MCP Server with 872 GitHub stars.
AgentChat is primarily written in Python. It covers topics such as agent, agent-memory, agent-skills.
You can find installation instructions and usage details in the AgentChat GitHub repository at github.com/Shy2593666979/AgentChat. The project has 872 stars and 102 forks, indicating an active community.
AgentChat is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AgentChat on Agent Skills Hub include zypher-agent, archestra, dbhub. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: