hermes

Connect Hermes to Airtable and Google BigQuery

Give Hermes your Airtable and BigQuery together and it can keep the warehouse and the team's tracking base in step. BigQuery holds the datasets, tables, and jobs; Airtable is where people watch what exists and leave notes. Hermes can create tables, datasets, and routines in BigQuery, then mirror the structure in Airtable and comment on records so nobody loses the thread. When something needs tearing down, it deletes in both places in one pass.

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Opens a workflow with 62 tools ready to use.

Tools Hermes gets

Pick the operations you want and each becomes a tool the agent can call directly while it works.

Airtable

24 tools
List Accessible Bases

List all accessible bases

Fetch Base Schema

Get the schema (tables and fields) of a base

Create New Table

Create a new table in a base

Update Table Metadata

Update a table's name or description

Create Table Field

Create a new field in a table

Update Table Field

Update a field's name or description

List Table Records

List records from a table with filtering, sorting, and pagination

Fetch Single Record

Get a single record by ID

Create Multiple Records

Create one or more records (batch create up to 10)

Update Multiple Records

Update one or more records (batch update up to 10)

Update Single Record

Update a single record by ID

Delete Multiple Records

Delete one or more records (batch delete up to 10)

Delete Single Record

Delete a single record by ID

Upsert Records by Field Match

Create or update records based on field matching (upsert)

List Record Comments

List comments on a record

Create Record Comment

Create a comment on a record

Update Record Comment

Update a comment

Delete Record Comment

Delete a comment

List Base Webhooks

List all webhooks for a base

Create Base Webhook

Create a webhook for a base

Delete Base Webhook

Delete a webhook

List Webhook Payloads

List payloads for a webhook

Refresh Webhook Expiration

Refresh a webhook to extend its expiration

Enable Webhook Notifications

Enable notifications for a webhook

Google BigQuery

38 tools
Run Query

Run a SQL query and return results inline (synchronous, bounded by timeout).

Get Query Results

Page through the results of a (possibly async) query job.

Insert Job

Start a query / load / extract / copy job (async).

Get Job

Fetch a job's status and statistics (poll until DONE).

List Jobs

List jobs in a project (filter by state, time range).

Cancel Job

Request cancellation of a running job.

Delete Job

Delete a job's metadata.

List Datasets

List datasets in the project.

Get Dataset

Fetch dataset metadata.

Create Dataset

Create a new dataset.

Update Dataset

Full replace of dataset metadata (PUT).

Patch Dataset

Partial update of dataset metadata (PATCH).

Delete Dataset

Delete a dataset.

List Tables

List tables/views in a dataset.

Get Table

Fetch table metadata/schema.

Create Table

Create a table or view with a schema.

Patch Table

Partial update of a table (add columns, set expiration, etc.).

Update Table

Full replace of table metadata (PUT).

Delete Table

Delete a table or view.

Stream Insert Rows

Streaming insert of JSON rows into a table (real-time append).

List Table Data

Read rows from a table directly (paginated, no SQL).

List Routines

List stored procedures / UDFs / TVFs in a dataset.

Get Routine

Fetch a routine definition.

Create Routine

Create a stored procedure / UDF / TVF.

List Models

List BigQuery ML models in a dataset.

Get Model

Fetch BQML model metadata.

Delete Model

Delete a BQML model.

Get Service Account

Return the BigQuery service account for the project (KMS/transfer grants).

List Projects

List projects the caller can access (for project picker UIs).

Undelete Dataset

Restore a dataset within its time-travel window (datasets.undelete).

Update Routine

Replace a routine's full definition (routines.update, PUT).

Delete Routine

Delete a routine (routines.delete).

Patch Model

Update mutable BQML model metadata (models.patch).

Get Table IAM Policy

Get the IAM policy for a table (tables.getIamPolicy).

Set Table IAM Policy

Set the IAM policy for a table (tables.setIamPolicy).

Test Table IAM Permissions

Test the caller's permissions on a table (tables.testIamPermissions).

List Row Access Policies

List row access policies on a table (rowAccessPolicies.list).

Get Row Access Policy

Get a single row access policy (rowAccessPolicies.get).

What you can build

Stand up a new BigQuery dataset and table, then create a matching Airtable table with the same fields so the team can track what it holds.
Cancel a stuck BigQuery job, then create an Airtable record with a comment so the on-call team sees the incident.
Create a BigQuery routine, then add a field to the Airtable tracking table and drop a record comment naming it.
Decommission a project by deleting its BigQuery table and dataset, then deleting the tracking records in Airtable.

About Hermes

Hermes is an open agent built on Nous Research’s Hermes models. NoClick runs it hosted and connects your apps to it as tools, so it can do real work across your systems. Wire an integration into the agent and Hermes can use that app’s operations directly while it reasons through a task. It is a strong pick when you want an open-model agent with genuine tool access.

Built on open Hermes models
Capable general reasoning
Flexible, open-model foundation
Hosted with apps wired in as tools

Frequently asked questions

Open your Hermes agent in one click

NoClick runs Hermes for you with Airtable and Google BigQuery wired in as tools. Connect your account and run.