Google Cloud Knowledge Catalog: Tools and Samples for Semantic AI Agents

RepositoryGoogleCloudPlatform/knowledge-catalogTool

The GoogleCloudPlatform/knowledge-catalog repository gathers tools, agents, and sample code for Google Cloud's Knowledge Catalog (formerly Dataplex). The platform functions as an AI-powered data catalog and metadata management system, organising structured and unstructured data into a dynamic knowledge graph to deliver business context to AI agents.

Key points

  1. Platform transition: Knowledge Catalog is the successor to Google Cloud Dataplex.
  2. Core functionality: Operates as an AI-driven data catalog and metadata management platform mapping structured and unstructured data into a dynamic knowledge graph.
  3. Repository contents: Provides open-source tools, agent examples, and reference implementations for context management, data enrichment, and retrieval.
  4. Technology stack: Implemented primarily in TypeScript, featuring quick launch support via Google Cloud Shell.
  5. Project status: Released under the Apache 2.0 licence, though explicitly noted as not an official Google product.

Why it matters

AI agents and LLM applications require accurate business context across fragmented data repositories. This repository offers practical components to enrich and retrieve metadata, bridging corporate data assets and agentic systems.

Analysis

Targeted at data engineers, cloud architects, and developers working within Google Cloud, the project addresses the challenge of making enterprise data semantically discoverable for AI agents. With over 9,000 stars, 760+ forks, and active updates as of September 2026, the project shows strong traction. However, developers should note the disclaimer stating it is not an official Google product, requiring internal validation before using sample agents in production environments.

Mentioned links

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

Related entries

Similar in content, found by the AI search.

  • Repository:alexeyban/EKOS

    EKOS: Enterprise Knowledge Compiler for AI Agents

    EKOS (Enterprise Knowledge Operating System) is an open-source Rust-based platform designed to observe, compile, and serve enterprise knowledge from disparate sources via the Model Context Protocol (MCP) for AI agents.

    10starsRust

    AI & LLMs· Tool

  • Article:Sam McVeety, Amir Hormati

    Google Cloud Introduces the Open Knowledge Format (OKF)

    Google Cloud has announced the Open Knowledge Format (OKF) v0.1, an open and vendor-neutral specification that standardises the LLM-wiki pattern into a portable format. OKF represents enterprise metadata, context, and curated knowledge as a directory of Markdown files with YAML frontmatter, readable by both humans and AI agents without proprietary SDKs.

    AI & LLMs· Announcement

  • Repository:CopilotKit/OpenTag

    OpenTag: Self-Hosted AI Agent for Slack and Microsoft Teams

    OpenTag is an open-source starter application by CopilotKit that connects LangGraph- and AG-UI-based AI agents directly into Slack and Microsoft Teams for triage and knowledge work.

    1.2kstarsTypeScript

    AI & LLMs· Tool

  • Repository:google/ax

    Google AX: Declarative Orchestration Runtime for AI Agents

    Google has open-sourced AX, a declarative orchestration runtime designed to manage autonomous AI agent workloads. Built on Kubernetes and Agent Substrate, it handles sandboxed execution, workspace pre-wiring, and network fencing at scale.

    6.2kstarsGo

    AI & LLMs· Tool

Back to the knowledge base

Let's talk about your project

Get in touch

Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.