本项目是一个基于 nanobot 与 nanobot-webui 二次开发的 AI System Agent 机器人系统，目标是构建一个能够长期运行、具备自主执行能力的智能系统管理员。
This project is an AI System Agent robot system developed based on nanobot and nanobot-webui, aiming to build an intelligent system administrator capable of long-term operation and autonomous execution.
*本项目由资深DBA系统架构师创建和维护，依赖vibe coding 进行开发和维护。欢迎大家一起vide coding。 *This project is created and maintained by a senior DBA system architect, with development powered by vibe coding. Everyone is welcome to join in and do vibe coding together.
**我们的目标是创建一个便于Oracle数据库管理员，开发人员，数据分析员易于的使用数据库优先Agent。目前的目标是支持oracle数据库，未来扩展为多种数据库（包括中国信创数据库）。它面向主机管理、数据库管理和自动化运维场景，强调可扩展、可观测、可持续运行。 ** Our goal is to create a database priority agent that is easy for Oracle database administrators, developers, and data analysts to use. The current goal is to support the Oracle database, and in the future, it will be expanded to support multiple databases (including the China Information Innovation database). This project was jointly created and maintained by colleagues from the EAST&WEST China team of the Oracle Customer Success Department. It targets host management, database management, and automated operations and maintenance (O&M) scenarios, emphasizing scalability, observability, and sustainable operation.
特别是针对 Oracle 数据库的运维，本系统提供了深度的自动化管理、故障排查与诊断能力。 Especially for Oracle database O&M, this system provides deep automated management, troubleshooting, and diagnostic capabilities.
系统特别引入了Oracle 26ai 的向量库能力作为知识库，大幅增强了专业知识的检索准确度。 The system specifically introduces the vector database capabilities of Oracle 26ai as its knowledge base MCP Server, significantly enhancing the retrieval accuracy professional knowledge.
系统采用Oracle MCP Server作为Oracle数据库的访问工具 The system specifically introduces Oracle MCP Server to access Oracle database.
通过整合 AI、工具 (Tool)、记忆 (Memory) 与 Web UI 的架构，我们形成了一个可落地的 Agent 管理平台，但本项目在开发中，仅仅限于用于DEV或者UAT环境，如果用于生产环境，后果自负，本项目不承担任何责任。。 By integrating the architecture of AI, Tools, Memory, and Web UI, we have formed a practical Agent management platform. This project is currently under development and is only intended for use in the DEV/UAT environment. If it is used in the production environment, the user shall bear all the consequences.This project assumes no responsibility.Author: Valen Wong Oracle employee, working on Oracle Database Platfrom team of China CSS department. This is a personal open-source project. It is not an official Oracle product, not sponsored by Oracle, and does not represent Oracle’s views. *目前本项目仅仅测试了KIMI和Deepseek API *Currently we just tested with KIMI and Deepseek API
https://github.com/valenwong-exa/nanoorabot/blob/main/INSTALL.md https://github.com/valenwong-exa/nanoorabot/blob/main/nanoorabot_linux_install.md
https://github.com/valenwong-exa/nanoorabot/blob/main/DBA_BEST_PRACTICE.md
- 自主运行的系统管理员 / Autonomous System Administrator: 能够理解自然语言指令并将其转化为实际的运维操作。 Capable of understanding natural language commands and translating them into actual O&M operations.
- Oracle 数据库深度运维 / Deep Oracle Database O&M: 内置针对 Oracle 数据库的专属管理技能，实现高效的日常维护与异常处理。 Built-in exclusive management skills for Oracle databases to achieve efficient daily maintenance and exception handling.
- 26ai 向量知识库 / 26ai Vector Knowledge Base: 依托 26ai 向量库构建强大的专业领域知识库，赋予 AI 准确的行业经验参考。 Relying on the 26ai vector database to build a powerful professional domain knowledge base, endowing AI with accurate industry experience references.
- 双轨记忆机制 / Dual-track Memory Mechanism:
支持灵活的短期会话记忆与长期的历史经验积累，支持通过
/forget-session等显式指令进行灵活的记忆管理。 Supports flexible short-term session memory and long-term historical experience accumulation, and supports flexible memory management through explicit commands such as/forget-session.
本项目的基础能力得益于以下优秀的开源项目：
The foundational capabilities of this project benefit from the following excellent open-source projects:
Use Server list and database list to generate prompt to guide AI to connect to correct target server or database
提供一个类似数据库开发工具的界面 Provide an interface similar to a database development tool
可执行Oracle数据库库对象分析，修改，创建，编译 Can perform analysis, modification, creation and compilation of Oracle database library objects
数据库快速检查 Database Quick Check
Default use QWEN or BGE-M3 model , mutiple langguages support.
Using langchain.
Check RAG onboard document about how to config Oracle 26ai vector search
本项目采用 MIT 许可证开源。 This project is open-sourced under the MIT License.
*请保留Valen Wang（王探长），Barry Wang，Lijie 和AI Database Plaftform Team的署名 Please retain the bylines of Valen Wang,Barry Wang, Sam Li and the AI Database Platform Team.
任何人都可以免费获取本软件及其相关文档的副本，并在满足 MIT 协议条款的前提下进行使用、复制、修改、合并、发布、分发等操作。 Anyone can obtain a copy of this software and its associated documentation files for free, and use, copy, modify, merge, publish, distribute, etc., under the terms of the MIT License.