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 Haohao-end · MCP Server · ★ 805
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openagent safe to install? View the security audit →
An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications. Flask + LangChain/LangGraph backend, Vue 3 workspace, visual workflows, datasets, tools, and OpenAPI delivery. Sponsored by Atlas Cloud Visit Website · API Docs · 中文文档 · GitHub <a href="https://deepwiki.com/Haohao-e
| Stars | 805 |
| Forks | 82 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.684549602786/100 |
| Open Issues | 49 |
| Last Updated | 2026-07-17 |
| Created | 2025-06-20 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~15k |
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openagent is What if OpenAI Deep Research and Dify were one platform? OpenAgent — harness architecture for rapidly building vertical AI agents, with deep reasoning loops, visual workflows, RAG, and A2A delegation.. It is categorized as a MCP Server with 805 GitHub stars.
openagent is primarily written in Python. It covers topics such as agent, ai, celery.
You can find installation instructions and usage details in the openagent GitHub repository at github.com/Haohao-end/openagent. The project has 805 stars and 82 forks, indicating an active community.
openagent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to openagent on Agent Skills Hub include argo, oreilly-ai-agents, full-stack-ai-agent-template. 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: