$ 114.10
| Availability |
Odoo Online
Odoo.sh
On Premise
|
| Odoo Apps Dependencies |
Discuss (mail)
|
| Lines of code | 3324 |
| Technical Name |
dmmsys_ai_agent_base |
| License | OPL-1 |
| Website | http://www.dmmsys.com |
| Availability |
Odoo Online
Odoo.sh
On Premise
|
| Odoo Apps Dependencies |
Discuss (mail)
|
| Lines of code | 3324 |
| Technical Name |
dmmsys_ai_agent_base |
| License | OPL-1 |
| Website | http://www.dmmsys.com |
Dmmsys AI Agent Base
Dmmsys AI Agent Base is a lightweight, out-of-the-box AI Agent framework. It delivers core AI capabilities for Odoo Community Edition.
Core capabilities include: AI Agent configuration, topic-driven conversations, universal tools (search/read/update/create), RAG knowledge base with vector retrieval, server action tool registration, FAB floating button with VS Code style ChatWindow, and automatic AI context awareness for all mail.thread business models.
Dmmsys AI Agent Base — 轻量级 AI 数字员工框架
Dmmsys AI Agent Base 是一个轻量级、开箱即用的 AI Agent 基础框架。为 Odoo 社区版提供企业级的 AI 助手能力。
核心能力包括:AI Agent 配置、主题驱动对话、通用工具调用(增删改查)、RAG 知识库与向量检索、服务器动作一键注册为工具、FAB 浮动按钮 + VS Code 风格 ChatWindow、所有 mail.thread 业务模型自动获得 AI 上下文感知。
功能对齐企业版:Agent定义、主题驱动、RAG检索、服务器动作工具化、入口规则配置等核心能力全面对齐标准实现。
Core Features
Lightweight | Low-Code Configuration | Ready to UseAI Agent Configuration
Low-code digital employee setupTopic Definition
Define agent's professional scope in natural language. Example: "You are a financial dispute analysis expert..."
Role System
Predefine default prompts and execution modes for different scenarios.
FAB ChatWindow
Floating action button with VS Code style chat interface. Model/Agent dual selector. Automatic business context detection. Session persistence across refresh.
Response Style
Three temperature presets: Analytical / Balanced / Creative.
Tools & Integration
Universal tools and business system integrationUniversal Tools
Pre-built tools: search, read, update, create. Server actions with "use_in_ai" flag auto-register as tools.
Composer Rules
Define AI entry points: chatter, form, list, system tray with preset shortcut prompts.
File & URL Knowledge Sources
Upload documents or provide URLs as knowledge sources. Automatic chunking and vectorization via pgvector with ivfflat index for cosine similarity search.
RAG Knowledge Base
File/URL knowledge sources. Automatic chunking and vectorization via pgvector with ivfflat index. Optional restriction to knowledge sources only.
核心功能
轻量级 | 低代码配置 | 开箱即用AI 数字员工配置
低代码配置数字员工主题定义
用自然语言定义 Agent 的专业能力范围,例如"你是一个财务争议分析专家..."。
角色系统
为不同场景预定义默认提示词和执行模式,实现职责分离。
FAB 聊天窗口
浮动按钮 + VS Code 风格聊天界面。模型/Agent 双选择器。自动业务上下文检测。刷新后会话持久化。
响应风格
三种温度预设:分析型 / 平衡型 / 创造型。
工具与集成
通用工具与业务系统集成通用工具
预置工具:搜索、读取、更新、创建。服务器动作勾选"use_in_ai"即可自动注册为工具。
入口规则
定义 AI 触发入口:chatter、表单、列表、系统托盘,支持快捷提示按钮。
文件与 URL 知识源
上传文档或提供 URL 作为知识源。通过 pgvector 自动分块和向量化,使用 ivfflat 索引进行余弦相似度搜索。
RAG 知识库
文件/URL 知识源。通过 pgvector 自动分块和向量化,使用 ivfflat 索引。可选限制仅从知识源回答。
Task Orchestration & DAG Engine
Enterprise-grade task dependency managementDAG-Based Task Dependencies
Define task dependencies with automatic topological sorting execution. Supports failure retry mechanisms and execution logging (ai.job.log). Perfect for monthly closing, change management, and multi-step automated processes.
Task Templates & Job Logs
Reusable task templates for common scenarios. Complete execution logs with status tracking, error capture, and retry history. Full observability into automated AI workflows.
任务编排与 DAG 引擎
企业级任务依赖管理基于 DAG 的任务依赖
定义任务依赖关系,自动拓扑排序执行。支持失败重试机制和执行日志(ai.job.log)。适用于月结、变更管理等多步骤自动化流程。
任务模板与作业日志
常见场景的可复用任务模板。完整的执行日志,包含状态追踪、错误捕获和重试历史。AI 工作流的全栈可观测性。
Screenshots
No. Due to Odoo front-end changes in each version, front-end modules do not support cross-version use.
Yes. The module works with both Odoo Enterprise and Community editions.
PostgreSQL with pgvector extension is recommended for RAG features. Python requests library is required.
Suggested Products
Product and Services
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