Hermes is an open agent based on Nous Research’s Hermes models. NoClick runs it for you and adds your connected apps as tools.

How do I give Hermes access to an app?

Connect the app's integration node to the agent's tools handle and pick the operations to expose. Each becomes a callable tool.

Do I need my own infrastructure?

No. The harness runs in a hosted sandbox and NoClick handles credentials for the apps you connect.

Can Hermes use multiple apps at once?

Yes. Wire in several integrations and the agent can use them together in a single run.

Connect Hermes to Namsor

Run Hermes as a hosted agent in NoClick with Namsor wired into its tools handle. It can use Namsor directly while it works. No glue code, nothing to install. Click below to open a ready-to-run agent and connect your account.

Loading preview…

Opens a workflow with 25 tools ready to use.

Set up in minutes

The open button drops you into a guided setup. It asks exactly this, nothing else:

Choose where it runs
On your computer through your own Hermes, or hosted in the cloud. The rest of setup adapts to your choice:
Pick what it can do in Namsor
A preset of real Namsor operations. Each one becomes a tool the agent can call, and it can't touch anything outside the list.
Connect Namsor
One sign-in. The agent acts through your account, scoped to the operations you picked.
Add your personal MCP link
The last step mints a private MCP URL for this agent and walks you through exactly this, with your real link filled in. The page flips to Connected the moment your Hermes first calls in. Hermes connects when it next starts a session.
1. Run this in your terminal
$hermes mcp add noclick --url https://mcp.noclick.app/s/<your-link>
2. Answer no when asked if the server requires authentication — the link itself is the key
<your-link> is your personal server URL — setup mints it for you.

Tools Hermes gets

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

Namsor

25 tools

Get Api Key Info

Read API Key info.

Get Api Usage

Print current API usage.

Classify Name Type

Infer the likely type of a proper noun (personal name, brand name, place name etc.)

Classify Gender

Infer the likely gender of a name.

Classify Gender Geo

Infer the likely gender of a name, given a local context (ISO2 country code).

Classify Gender Full

Infer the likely gender of a full name, ex. John H. Smith

Classify Gender Full Geo

Infer the likely gender of a full name, given a local context (ISO2 country code).

Parse Name

Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John.

Parse Name Geo

Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John. For better accuracy, provide a geographic context.

Parse Chinese Name

Infer the likely first/last name structure of a name, ex. 王晓明 -> 王(surname) 晓明(given name)

Romanize Chinese Name

Romanize the Chinese name to Pinyin, ex. 王晓明 -> Wang (surname) Xiaoming (given name)

Match Chinese Name

Return a score for matching Chinese name ex. 王晓明 with a romanized name ex. Wang Xiaoming

Parse Japanese Name

Infer the likely first/last name structure of a name, ex. 山本早苗 or Yamamoto Sanae

Japanese Kanji Candidates

Identify japanese name candidates in KANJI, based on the romanized name ex. Yamamoto Sanae

Japanese Latin Candidates

Romanize japanese name, based on the name in Kanji.

Match Japanese Name

Return a score for matching Japanese name in KANJI ex. 山本早苗 with a romanized name ex. Yamamoto Sanae

Parse Names Batch

Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John.

Parse Names Geo Batch

Infer the likely first/last name structure of a name, ex. John Smith or SMITH, John or SMITH; John. Giving a local context improves precision.

Parse Chinese Names Batch

Infer the likely first/last name structure of a name, ex. 王晓明 -> 王(surname) 晓明(given name).

Romanize Chinese Names Batch

Romanize a list of Chinese name to Pinyin, ex. 王晓明 -> Wang (surname) Xiaoming (given name).

Parse Japanese Names Batch

Infer the likely first/last name structure of a name, ex. 山本早苗 or Yamamoto Sanae

Classify Gender Batch

Infer the likely gender of up to 100 names, detecting automatically the cultural context.

Classify Gender Full Batch

Infer the likely gender of up to 100 full names, detecting automatically the cultural context.

Set Learning

Activate/deactivate learning from a source.

Set Anonymization

Activate/deactivate anonymization for a source.

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