Integration · Meetings & calls

An AI agent that acts on your Fireflies transcripts.

Connect Fireflies and an OpenHelm agent can read new meeting transcripts on a schedule, pull out decisions and action items, file summaries where your team works, and track commitments in a data table so nothing agreed in a call quietly disappears.

Recurring jobs

What an OpenHelm agent can do with Fireflies.

Each of these runs as a scheduled, self-correcting job: you describe it in plain English, approve the plan once, and an independent evaluator checks every run against the goal.

Post-meeting action extraction

After each recorded meeting, extract owners, actions and deadlines into a data table and email the list to attendees the same day.

Weekly meetings digest

Summarise the week of calls into themes, decisions and open questions, one email instead of ten transcripts.

CRM note filing

For customer calls, write a concise summary and next steps to the matching record in your connected CRM.

Commitment follow-through

Track promises made in calls, such as sending a proposal by Friday, and nudge the owner before the deadline passes.

Get started

Connect Fireflies in minutes.

  1. 1

    Connect Fireflies

    Add Fireflies under Connections in the OpenHelm app and paste a scoped API key, or provision it programmatically with POST /v1/connections.

  2. 2

    Describe the job in plain English

    Tell OpenHelm what you want done and how often. It drafts a plan with a schedule, the tools it will use, and a clear definition of done.

  3. 3

    Approve the plan

    No job fires until you have reviewed the plan. Set the autonomy level to control whether writes execute directly or queue for your approval.

  4. 4

    It runs, self-checks and reports

    Runs execute in isolated cloud sandboxes on schedule. An independent evaluator scores each run against the goal, and results arrive as logs, emails or data-table rows.

For developers

Or provision the connection over the API.

POST /v1/connections
curl https://api.openhelm.ai/v1/connections \
  -H "Authorization: Bearer oh_live_..." \
  -H "Content-Type: application/json" \
  -d '{ "name": "Fireflies", "type": "token", "secret": "<your Fireflies API key>" }'
# secret is write-only: stored encrypted, injected only at run time

The same connections back runs started over REST. See the AI agent API and the Connections API docs.

Related ways to put agents to work with Fireflies:

Common questions about the Fireflies integration

Put an agent to work in Fireflies this week.

Connect once, describe the job, approve the plan. From then on it runs on schedule, checks its own work, and reports back with evidence.