Google Vertex AI Agent Builder to HubSpot
Google Cloud platform for building, grounding and deploying AI agents. It uses data stores, tools, ADK/framework agents, and Sessions and Memory Bank.
Google Vertex AI Agent Builder data can move into HubSpot, landing mainly in Agent Hub. 0 of 4 mapped objects move directly; 4 items need manual work and 3 do not move. Plan roughly 1-3 weeks for a small move and 8-16 weeks for a large one.
Migration checklist for Google Vertex AI Agent Builder
Three phases, specific to this system. Tick steps off as you go.
Before
0 of 5 doneDuring
0 of 5 doneAfter
0 of 5 doneWhat will it take?
No price list: cost follows volume, custom objects and how much logic must be rebuilt. Answer four quick questions for a planning range.
The three scenarios
Small migration
1-2 agents, <100 documents
Mid migration
3-10 agents, hundreds of documents
Large migration
10+ agents, thousands of documents, multi-agent flows
What moves the number
Timeline ranges are planning estimates, not a quote. A partner confirms scope after discovery.
Access, mapping and limits
Start with how data leaves Google Vertex AI Agent Builder: what you need to get in, what lands in HubSpot, and what will not.
Google Cloud APIs (Vertex AI API and Discovery Engine API for data stores); Dialogflow CX API for playbook/data store agents
Google Cloud project access with the Vertex AI and Discovery Engine APIs enabled
IAM permissions on the Google Cloud project
Choose your route
How will you move the data?
No native connector was found.
- You need: Google Cloud project access with the Vertex AI and Discovery Engine APIs enabled
- Permission: IAM permissions on the Google Cloud project
Native imports often bring over only some data, so check coverage per object in the mapping below.
Export each object, clean it, then import it into HubSpot.
- Source documents kept in Cloud Storage can be reused directly
- Data stores can be created from Cloud Storage, website, uploaded files, Google Drive and third-party connectors
- Agent instructions, tools and schemas are re-created manually from the console or the code repository
Limits: To confirm
Migration and sync tools can move more than a plain import. Confirm which objects each one supports before you choose.
Best when volume is high, custom objects are many or automation is heavy. That is the Large scenario: 8-16 weeks, usually phased.
Talk to a partnerWhere each object lands
In Google Vertex AI Agent Builder
In HubSpot
Hover or tap anything on the left to see where it lands.
| Source object | In HubSpot | Moves | Notes |
|---|---|---|---|
| Agent instructions / playbook | Custom objects | manual | HubSpot Agent is the closest target. Instructions are re-written as prompts there, not imported as a record type, so the Custom objects label is a placeholder. |
| Data store knowledge sources (Cloud Storage files, websites) | Files | partial | The original files or URLs can be re-added as HubSpot knowledge sources. Indexed content cannot be exported. |
| Tools (function schemas, data store tools) | Custom objects | manual | Rebuild as HubSpot agent tools or workflow actions from the function descriptions and parameters. Custom objects is a placeholder. |
| Evaluation cases | Notes | manual | Kept as test scripts to replay against the new agent. There is no HubSpot import target. |
What to expect
Runtime state is not portable, per the analyst scope note.
These are rebuilt from the source content on re-ingestion.
It remains in Google Cloud.
Behaviour differs between model platforms.
Agents call APIs based on function schemas and descriptions.
Data store connectors are Google-specific.
These are platform-specific.
Replay the evaluation cases and compare answers before cutover.
Review the access scope of each source before re-ingesting it.
Confirm console and API names in the current Google docs.
Data governance and compliance
Decide what is allowed to move before anything is exported. Tick each gate once it is agreed.
How we researched this page
How much to trust each section, and where it comes from.
Only tutorials, codelabs and a Wikipedia entry were found. There were no Google reference docs or HubSpot docs on export or import. Agent-to-HubSpot mapping is analyst judgement. There is no native migration path, so the work is a rebuild.
Sources
Related migrations
Frequently asked questions
How do I migrate Google Vertex AI Agent Builder to HubSpot?
1. Inventory apps, agents and data stores in the Google Cloud project. 2. List the Cloud Storage buckets and connectors behind each data store. 3. Export agent instructions and tool function schemas from the console or the code repository. 4. Collect the evaluation cases and sample conversations.
What does not move from Google Vertex AI Agent Builder to HubSpot?
Sessions and Memory Bank conversation state, Search indexes and embeddings and Tracing and monitoring data (Cloud Trace/OpenTelemetry). Plan to rebuild or retire these.
How long does a Google Vertex AI Agent Builder to HubSpot migration take?
Small (1-2 agents, <100 documents): 1-3 weeks. Mid (3-10 agents, hundreds of documents): 3-8 weeks. Large (10+ agents, thousands of documents, multi-agent flows): 8-16 weeks. These are planning estimates, not a quote.
What access do I need to export from Google Vertex AI Agent Builder?
Google Cloud project access with the Vertex AI and Discovery Engine APIs enabled IAM permissions on the Google Cloud project
Is there a native HubSpot connector for Google Vertex AI Agent Builder?
No native connector was found. Plan a CSV, API or third-party tool route.
What compliance issues apply when moving Google Vertex AI Agent Builder data?
Check: Documents may contain health, financial or minors' data and Workspace email content. Agree consent, retention and access rules before exporting.
Moving Google Vertex AI Agent Builder into HubSpot?
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