A set of Alfresco AI Assistants to help users and customers get the information they need or perform complex tasks, simply conveying each request via natural language

WIP / prototyping project for a Python 3.x client using Alfresco Public Rest API

Python script allows you to safely delete old files in the startdata-enddata range from Alfresco 4+

Hackathon project that uses a LLM to create a categorisation structure and categorise new content

Download folders from Alfresco using CMIS and REST API

Alfresco document fetcher command line for python is compatibility with python3.5+

Uses LlamaIndex for graph building from content. Vector, GraphRAG, and Full text hybrid search. Docling document processing. Configurable with what graph database, vector database, search database, LLM, data sources to use. Angular, React, and Vue UIs MCP server support

Generates MCP Server tool definitions from Hyland REST API specifications using OpenAPI or Swagger.

Automatic installation for Alfresco on Linux（Alfresco 自动安装程序）