Open WebUI (126k★) is the most popular self-hosted chat interface for AI. With Hermes Agent's built-in API server, you can use Open WebUI as a polished web frontend for your agent — complete with conversation management, user accounts, and a modern chat interface.
Architecture
flowchartLRA["Open WebUI<br/>browser UI<br/>port 3000"]B["hermes-agent<br/>gateway API server<br/>port 8642"]A-->|POST/v1/chat/completions|BB-->|SSEstreamingresponse|A
Open WebUI connects to Hermes Agent's API server just like it would connect to OpenAI. Hermes handles the requests with its full toolset — terminal, file operations, web search, memory, skills — and returns the final response.
important Runtime location
The API server is a Hermes agent runtime, not a pure LLM proxy. For each request, Hermes creates a server-side AIAgent on the API-server host. Tool calls run where that API server is running.
For example, if a laptop points Open WebUI or another OpenAI-compatible client at a Hermes API server on a remote machine, pwd, file tools, browser tools, local MCP tools, and other workspace tools run on the remote API-server host, not on the laptop.
Open WebUI talks to Hermes server-to-server, so you do not need API_SERVER_CORS_ORIGINS for this integration.
Quick Setup
One-command local bootstrap (macOS/Linux, no Docker)
If you want Hermes + Open WebUI wired together locally with a reusable launcher, run:
On Linux, automatic background service setup requires a working systemd --user session. If you are on a headless SSH box and want to skip service installation, run:
hermes config set auto-routes the flag to config.yaml and the secret to ~/.hermes/.env. If the gateway is already running, restart it so the change takes effect:
If /health fails, the gateway didn't pick up API_SERVER_ENABLED=true — restart it. If /v1/models returns 401, your Authorization header doesn't match API_SERVER_KEY.
ENABLE_OLLAMA_API=false suppresses the default Ollama backend, which would otherwise show up empty and clutter the model picker. Omit it if you actually have Ollama running alongside.
First launch takes 15–30 seconds: Open WebUI downloads sentence-transformer embedding models (~150MB) the first time it starts. Wait for docker logs open-webui to settle before opening the UI.
5. Open the UI
Go to http://localhost:3000. Create your admin account (the first user becomes admin). You should see your agent in the model dropdown (named after your profile, or hermes-agent for the default profile). Start chatting!
Docker Compose Setup
For a more permanent setup, create a docker-compose.yml:
If you prefer to configure the connection through the UI instead of environment variables:
Log in to Open WebUI at http://localhost:3000
Click your profile avatar → Admin Settings
Go to Connections
Under OpenAI API, click the wrench icon (Manage)
Click + Add New Connection
Enter:
URL: http://host.docker.internal:8642/v1
API Key: the exact same value as API_SERVER_KEY in Hermes
Click the checkmark to verify the connection
Save
Your agent model should now appear in the model dropdown (named after your profile, or hermes-agent for the default profile).
Environment variables only take effect on Open WebUI's **first launch**. After that, connection settings are stored in its internal database. To change them later, use the Admin UI or delete the Docker volume and start fresh.
API Type: Chat Completions vs Responses
Open WebUI supports two API modes when connecting to a backend:
Mode
Format
When to use
Chat Completions (default)
/v1/chat/completions
Recommended. Works out of the box.
Responses (experimental)
/v1/responses
For server-side conversation state via previous_response_id.
Using Chat Completions (recommended)
This is the default and requires no extra configuration. Open WebUI sends standard OpenAI-format requests and Hermes Agent responds accordingly. Each request includes the full conversation history.
Using Responses API
To use the Responses API mode:
Go to Admin Settings → Connections → OpenAI → Manage
Edit your hermes-agent connection
Change API Type from "Chat Completions" to "Responses (Experimental)"
Save
With the Responses API, Open WebUI sends requests in the Responses format (input array + instructions), and Hermes Agent can preserve full tool call history across turns via previous_response_id. When stream: true, Hermes also streams spec-native function_call and function_call_output items, which enables custom structured tool-call UI in clients that render Responses events.
Open WebUI currently manages conversation history client-side even in Responses mode — it sends the full message history in each request rather than using `previous_response_id`. The main advantage of Responses mode today is the structured event stream: text deltas, `function_call`, and `function_call_output` items arrive as OpenAI Responses SSE events instead of Chat Completions chunks.
How It Works
When you send a message in Open WebUI:
Open WebUI sends a POST /v1/chat/completions request with your message and conversation history
Hermes Agent creates a server-side AIAgent instance using the API server's profile, model/provider config, memory, skills, and configured API-server toolsets
The agent processes your request — it may call tools (terminal, file operations, web search, etc.) on the API-server host
As tools execute, inline progress messages stream to the UI so you can see what the agent is doing (e.g. `💻 ls -la`, `🔍 Python 3.12 release`)
The agent's final text response streams back to Open WebUI
Open WebUI displays the response in its chat interface
Your agent has access to the same tools and capabilities as that API-server Hermes instance. If the API server is remote, those tools are remote too.
If you need tools to run against your local workspace today, run Hermes locally and point it at a pure LLM provider or pure OpenAI-compatible model proxy (for example vLLM, LiteLLM, Ollama, llama.cpp, OpenAI, OpenRouter, etc.). A future split-runtime mode for "remote brain, local hands" is being tracked in #18715; it is not the behavior of the current API server.
tip Tool Progress
With streaming enabled (the default), you'll see brief inline indicators as tools run — the tool emoji and its key argument. These appear in the response stream before the agent's final answer, giving you visibility into what's happening behind the scenes.
Configuration Reference
Hermes Agent (API server)
Variable
Default
Description
API_SERVER_ENABLED
false
Enable the API server
API_SERVER_PORT
8642
HTTP server port
API_SERVER_HOST
127.0.0.1
Bind address
API_SERVER_KEY
(required)
Bearer token for auth. Match OPENAI_API_KEY.
Open WebUI
Variable
Description
OPENAI_API_BASE_URL
Hermes Agent's API URL (include /v1)
OPENAI_API_KEY
Must be non-empty. Match your API_SERVER_KEY.
Troubleshooting
No models appear in the dropdown
Check the URL has /v1 suffix: http://host.docker.internal:8642/v1 (not just :8642)
Verify the gateway is running: curl http://localhost:8642/health should return {"status": "ok"}
Check model listing: curl -H "Authorization: Bearer your-secret-key" http://localhost:8642/v1/models should return a list with hermes-agent
Docker networking: From inside Docker, localhost means the container, not your host. Use host.docker.internal or --network=host.
Empty Ollama backend shadowing the picker: If you omitted ENABLE_OLLAMA_API=false, Open WebUI shows an empty Ollama section above your Hermes models. Restart the container with -e ENABLE_OLLAMA_API=false or disable Ollama in Admin Settings → Connections.
Connection test passes but no models load
This is almost always the missing /v1 suffix. Open WebUI's connection test is a basic connectivity check — it doesn't verify model listing works.
Response takes a long time
Hermes Agent may be executing multiple tool calls (reading files, running commands, searching the web) before producing its final response. This is normal for complex queries. The response appears all at once when the agent finishes.
"Invalid API key" errors
Make sure your OPENAI_API_KEY in Open WebUI matches the API_SERVER_KEY in Hermes Agent.
Open WebUI persists OpenAI-compatible connection settings in its own database after first launch. If you accidentally saved a wrong key in the Admin UI, fixing the environment variables alone is not enough — update or delete the saved connection in **Admin Settings → Connections**, or reset the Open WebUI data directory / database.
Multi-User Setup with Profiles
To run separate Hermes instances per user — each with their own config, memory, and skills — use profiles. Each profile runs its own API server on a different port and automatically advertises the profile name as the model in Open WebUI.
1. Create profiles and configure API servers
API_SERVER_* are env vars, not YAML config keys, so write them to each profile's .env. Pick ports outside the default-platform range (8644 is the webhook adapter, 8645 is wecom-callback, 8646 is msgraph-webhook), e.g. 8650+:
In Admin Settings → Connections → OpenAI API → Manage, add one connection per profile:
Connection
URL
API Key
Alice
http://host.docker.internal:8650/v1
alice-secret
Bob
http://host.docker.internal:8651/v1
bob-secret
The model dropdown will show alice and bob as distinct models. You can assign models to Open WebUI users via the admin panel, giving each user their own isolated Hermes agent.
tip Custom Model Names
The model name defaults to the profile name. To override it, set API_SERVER_MODEL_NAME in the profile's .env: