hermes-msteams-bridge 0.3.0

Microsoft Teams Bridge for Hermes Agent: voice/video (Conversational Video Interface) plugin

Microsoft Teams Bridge for Hermes Agent

Microsoft Teams voice/video (Conversational Video Interface) for Hermes Agent, packaged as a standalone, pip-installable plugin: install it on top of a normal Hermes install, no fork required.

The plugin (name teams_voice) hosts the HMAC-authenticated WebSocket bridge that the hosted StandIn media bridge dials into, and drives the call: realtime (OpenAI/Azure speech-to-speech) or streaming (STT→agent→TTS), camera/screen vision, the avatar driver cues (expression / visemes / show-to-caller), group-call etiquette, DTMF, bilingual EN/AR, meeting recap/minutes, and SharePoint (OneDrive) file send.

Getting started

This plugin adds voice and video (CVI) on top of Hermes Agent's Microsoft Teams messaging. Set those up first:

1. Install Hermes Agent using the official docs at hermes-agent.nousresearch.com.

2. Set up Microsoft Teams messaging in Hermes (bot app + credentials): Teams messaging docs.

3. Subscribe to StandIn (standin.komaa.com, free tier), the hosted media bridge that joins the Teams call and connects to this plugin.

4. Add this plugin. The one-line installer detects your Hermes venv and walks you through the config (mode, shared secret, provider key):

   curl -fsSL https://standin.komaa.com/install.sh | bash
   

   Prefer to do it by hand? See Install on Hermes and Configure.

Install on Hermes

Install into the same Python environment as Hermes: it discovers the plugin via the hermes_agent.plugins entry-point and imports it in-process.

First locate the Hermes venv (the installer puts it under ~/.hermes/.../venv):

find ~ -path "*/.hermes/*/venv" -type d 2>/dev/null

Then install into that venv, targeting its interpreter (Linux/macOS <venv>/bin/python, Windows <venv>\Scripts\python.exe), or activate the venv first and drop --python.

A. from PyPI (recommended):

uv pip install --python /path/to/hermes/venv/bin/python hermes-msteams-bridge

Or, with the Hermes venv activated:

pip install hermes-msteams-bridge

B. from GitHub (latest / pre-release):

uv pip install --python /path/to/hermes/venv/bin/python \
  "git+https://github.com/komaa-com/hermes-msteams-bridge.git"

C. from a local checkout (development):

git clone https://github.com/komaa-com/hermes-msteams-bridge.git
uv pip install --python /path/to/hermes/venv/bin/python -e ./hermes-msteams-bridge

Installing into the wrong environment means Hermes won't see the plugin. Faster audio (optional): add the numpy extra, e.g. hermes-msteams-bridge[numpy].

Enable + run

Entry-point plugins are opt-in: add teams_voice to plugins.enabled in ~/.hermes/config.yaml (see Configure below). hermes plugins enable does not work for pip-installed plugins (it only sees bundled/user-dir plugins), so enable it in config:

plugins:
  enabled:
    - teams_voice

Then run the voice bridge (handlers: realtime | streaming | echo | logging):

hermes teams-voice serve --handler realtime

And, separately, the Teams chat plane + cron:

hermes gateway run

Configure

Config lives in Hermes's own files (this package ships none). Non-secret settings go in config.yaml; secrets go in .env and are referenced with ${VAR}.

~/.hermes/config.yaml, under plugins.entries.teams_voice.config:

plugins:
  enabled:
    - teams_voice                          # entry-point plugins are opt-in
  entries:
    teams_voice:
      config:
        shared_secret: ${TEAMS_VOICE_SHARED_SECRET}   # MUST match the secret paired in StandIn
        host: 127.0.0.1
        port: 8443                         # voice WS StandIn dials: ws://host:port/voice/msteams/stream
        max_call_duration_s: 0             # hard wall-clock cap per call in seconds (0 = unlimited)
        share_point_site_id: ${TEAMS_SHAREPOINT_SITE_ID}  # optional: attach files/minutes to the chat
        meeting_recap: true                # optional: post minutes at call end
        allowlist: []                      # caller AAD object ids (empty = deny all inbound callers)
        allow_all: false                   # explicit opt-in: accept any caller when the allowlist is empty
        allowlist_allow_names: false       # also match the allowlist against display names (weaker; default off)
        session_scope: per-call            # per-call | per-thread | per-aad
        wake_phrases: [assistant, hermes]  # group-call wake phrases (speak only when addressed)
        bilingual: false                   # pin the realtime model to Arabic/English
        # Outbound "call me back" (StandIn places the return call over its loopback endpoint):
        worker_base_url: http://127.0.0.1:9440   # loopback endpoint StandIn exposes for place-call
        allow_remote_worker: false         # refuse a non-loopback place-call target unless set
        # Realtime (speech-to-speech) brain - Azure OpenAI Realtime:
        realtime:
          backend: azure                   # azure | openai
          azure_endpoint: https://<your-azure-resource>.cognitiveservices.azure.com
          azure_deployment: gpt-realtime
          azure_api_version: 2025-04-01-preview
          voice: cedar
          api_key: ${AZURE_FOUNDRY_API_KEY}
          vad_threshold: 0.5
          prefix_padding_ms: 300
          silence_duration_ms: 500

Public OpenAI instead of Azure: set backend: openai, model: gpt-realtime, api_key: ${OPENAI_API_KEY}, and drop the azure_* keys. Streaming (STT→agent→TTS) instead of realtime: omit the realtime: block and run hermes teams-voice serve --handler streaming (needs ffmpeg on PATH).

~/.hermes/.env, the secrets referenced above (plus Teams chat-plane creds if you also run hermes gateway run):

# Voice bridge
TEAMS_VOICE_SHARED_SECRET=<same value you set in StandIn>
AZURE_FOUNDRY_API_KEY=<azure-openai-key>                 # or OPENAI_API_KEY for public OpenAI
TEAMS_SHAREPOINT_SITE_ID=<host>,<siteGuid>,<webGuid>     # optional (needs Graph Sites.ReadWrite.All)

# Teams chat plane (platforms/teams) - only if you run the gateway:
TEAMS_CLIENT_ID=<bot-app-id>
TEAMS_CLIENT_SECRET=<bot-app-secret>
TEAMS_TENANT_ID=<azure-ad-tenant-id>

shared_secret must match the secret paired in StandIn or the HMAC handshake fails. Full key reference (every option, defaults, env vars, streaming mode, the wire protocol): the Configuration Reference and Wire Protocol docs pages. Contributor architecture notes live in DESIGN.md; the module-level guide is in src/hermes_msteams_bridge/README.md.

Upgrade / uninstall

Upgrade:

uv pip install --upgrade hermes-msteams-bridge

Uninstall (it then disappears from hermes plugins list):

uv pip uninstall hermes-msteams-bridge

How it loads

Hermes discovers pip plugins via the hermes_agent.plugins entry-point group. This package exposes:

[project.entry-points."hermes_agent.plugins"]
teams_voice = "hermes_msteams_bridge"

Hermes imports hermes_msteams_bridge and calls its register(ctx), registering the teams-voice CLI, the status tool, and the session hook. Entry-point plugins are opt-in, so teams_voice must be in plugins.enabled (add it in config.yaml; hermes plugins enable does not see pip-installed plugins).

Requirements

• A working Hermes Agent install (the host; not a PyPI package).
• Python ≥ 3.10 and aiohttp; ffmpeg on PATH for streaming-mode TTS decode.
• StandIn (standin.komaa.com), the hosted media bridge that joins the Teams call and connects to this plugin over the HMAC WebSocket.

Relationship to the bundled plugin

This is the same code as the in-tree plugins/teams_voice plugin, repackaged for pip distribution so you don't have to fork Hermes. Install it on vanilla Hermes; don't also keep a bundled teams_voice (same name → the entry-point would shadow it).

• Voice/CVI works fully on vanilla Hermes.
• Chat-plane governance + SharePoint file attach depend on the enhanced plugins/platforms/teams adapter; without it the plugin degrades gracefully (e.g. meeting minutes post as text instead of a SharePoint file card).

License

MIT - see LICENSE. Copyright (c) 2026 Komaa.com. This is an independent plugin authored by Komaa; it is not affiliated with or endorsed by Nous Research. "Hermes" is a project of Nous Research. Maintained by Komaa.com · docs at https://docs.komaa.com/