RamiBot — AI Security Operations Platform Local-first • Red/Blue Team • MCP-Powered • Docker-Integrated Execute. Analyze. Harden. Key Features RamiBot connects AI reasoning with real cybersecurity tools through a structured operations pipeline. AI & Reasoning 🧠 Multi-provider LLM support OpenAI, Anthropic, OpenRouter, LM Studio, and Ollama 🧠 Skill Pipeline Structured methodology: Recon → Exploit → Defense → Reporting 🔐 Evidence-Locked Reporting Prevents hallucinated CVEs, versions, or findings Security Tool Integration 🧰 Real security tool execution via MCP Integrates pentesting tool
| Stars | 14 |
| Forks | 3 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 33.85/100 |
| Last Updated | 2026-03-22 |
| Created | 2026-02-22 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~1548k |
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ramibot is RamiBot v3.7.3 is a local-first AI security operations platform integrating multi-LLM support, a dynamic red/blue team skill pipeline, MCP tool orchestration, Docker terminal access, Tor proxy managem. It is categorized as a MCP 服务器 with 14 GitHub stars.
ramibot is primarily written in Python. It covers topics such as ai, autogpt, blue-team.
You can find installation instructions and usage details in the ramibot GitHub repository at github.com/RamiBotAI/ramibot. The project has 14 stars and 3 forks, indicating an active community.
ramibot is released under the MIT license, making it free to use and modify according to the license terms.