NVIDIA NeMo Fabric Hermes Agent Adapter

This adapter runs Hermes Agent through its Python SDK.

Install

To install just the Hermes adapter by itself:

pip install "nemo-fabric[adapters-hermes]"

To install just the Hermes adapter along with the NeMo Fabric Runtime:

pip install "nemo-fabric[adapters-hermes, runtime]"

What It Maps

The adapter receives a normalized payload from Fabric and materializes Hermes-native configuration for:

model provider, model name, base URL, temperature, and token settings;
workspace and terminal settings;
Fabric skills as Hermes external skill directories;
Fabric MCP servers as Hermes MCP server config;
tools.blocked as Hermes disabled toolsets, unioned with harness.settings.disabled_toolsets;
optional NeMo Relay telemetry plugin configuration.

hermes_home configures a base directory. The adapter creates a child under runtimes/<runtime_id> so invocations in one Fabric runtime share Hermes state without sharing config or the session database with another runtime.

Maintaining The Adapter

Keep fabric-adapter.json aligned with the Python implementation:

contract_version must match the adapter contract supported by Fabric core.
adapter_id is the stable id selected by harness.adapter_id.
adapter_kind is python because Fabric can invoke it through Python.
runner.module names the module that Fabric invokes with python -m. runner.callable names the equivalent reusable Python function.
requirements powers fabric doctor; keep required env vars, binaries, or packages current.
config.accepts must match the Fabric sections this adapter maps into Hermes.
telemetry.providers declares provider-specific outputs and integration modes the adapter can produce or forward.

Do not put end-user agent settings in this directory. Users vary harness, model, skills, MCP, tools, telemetry, and runtime behavior through agent.yaml and profiles. The adapter descriptor describes adapter capabilities; it is not a profile. Add descriptor fields only when Fabric core or the SDK actually uses them.

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