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 fdueblab · MCP Server · ★ 101
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Micro-Agent safe to install? View the security audit →
为什么选择 Micro-Agent 如果你需要为特定行业快速构建一个专业 Agent 并以 API 服务形式交付，Micro-Agent 是最短路径。 各框架定位： Micro-Agent 面向垂域专业 Agent 服务交付 · LangGraph 面向复杂多步工作流编排 · AutoGen 面向多角色智能体协作 · OpenClaw 面向个人效率自动化 架构 核心组件： LLM Layer — 通过 litellm 统一接口，一套代码切换 OpenAI / DeepSeek / Claude / Ollama 等任意模型 Agent Core — ReAct 执行引擎（Think → Act → Observe 循环），支持 SubAgent 子任务分发与 REPL 沙箱执行 Memory — 会话记忆系统，支持短期记忆、文件持久化、跨会话恢复 Skills — 将领域规范、编码标准等知识注入 Agent 的 system prompt，使其具备专业能力 RAG — 从领域知识库中检索相关文档，为推理提供上下文
| Stars | 101 |
| Forks | 18 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.3570719276848/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-12 |
| Created | 2025-03-25 |
| Platforms | mcp, python |
| Est. Tokens | ~14k |
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Micro-Agent is A lightweight AI agent framework for vertical domain applications | 面向垂域应用的轻量级 AI Agent 框架. It is categorized as a MCP Server with 101 GitHub stars.
Micro-Agent is primarily written in Python. It covers topics such as ai-agent, fastapi, litellm.
You can find installation instructions and usage details in the Micro-Agent GitHub repository at github.com/fdueblab/Micro-Agent. The project has 101 stars and 18 forks, indicating an active community.
Micro-Agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Micro-Agent on Agent Skills Hub include fim-agent, aser, orchestkit. 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: