Percept Meetings

Give your OpenClaw agent context from meetings captured by Zoom, Granola, or Omi wearables. Search transcripts, extract action items, identify speakers, and act on meeting outcomes. Use when the user asks about meetings, what was discussed, action items, follow-ups, who said what, meeting summaries, or when the agent needs meeting context to complete a task. Also triggers for: what did we talk about, meeting notes, transcript, action items, follow up on, schedule based on our meeting, what did [person] say.

Give your OpenClaw agent ears. This skill connects meeting data from Zoom, Granola, and Omi wearables into your agent's context — searchable transcripts, speaker identification, entity extraction, and actionable follow-ups.

Quick Start

1. Install Percept

bash

pip install getpercept   # or: git clone https://github.com/GetPercept/percept
cd percept && pip install -e .

2. Connect a Source

Granola (zero config — reads local cache):

bash

percept granola-sync

Zoom (needs OAuth app):

bash

export ZOOM_ACCOUNT_ID=xxx ZOOM_CLIENT_ID=xxx ZOOM_CLIENT_SECRET=xxx
percept zoom-sync --days 7

Omi wearable (real-time):

bash

percept serve --port 8900
# Configure Omi webhook → https://your-host:8900/webhook/transcript?token=YOUR_TOKEN

3. Use Meeting Context

Search what was discussed:

bash

percept search "budget approval"

List recent transcripts:

bash

percept transcripts --today

Check who was in meetings:

bash

percept speakers

Get action items from latest meeting:

bash

percept actions

How to Use in Agent Workflows

Finding Meeting Context

When the user asks about meetings or you need context from a past conversation:

bash

# Search by topic
percept search "VectorCare API migration"

# Search by person
percept search "what did Sarah say"

# Recent meetings
percept transcripts --limit 5

Output is JSON — parse it for structured data.

Acting on Meetings

When meetings produce action items or follow-ups:

1. Search for the relevant meeting: percept search "<topic>"
2. Extract action items from the transcript
3. Use other OpenClaw tools to execute (send emails, create tasks, schedule follow-ups)

Example flow: User says "follow up on what we discussed with the sales team" → percept search "sales team" → find action items → draft follow-up email

Importing New Data

Granola auto-discovers meetings from ~/Library/Application Support/Granola/cache-v3.json. Run percept granola-sync to pull latest. Supports --since YYYY-MM-DD for date filtering.

Zoom requires a Server-to-Server OAuth app from marketplace.zoom.us:

• Scopes needed: recording:read, user:read
• Run percept zoom-sync to batch-import, or start webhook server for auto-import
• See references/zoom-setup.md for detailed setup

Omi streams in real-time via webhook. See references/omi-setup.md.

Configuration

Percept stores data in percept/data/percept.db (SQLite with FTS5 full-text search).

Key env vars:

• PERCEPT_DB_PATH — custom database location
• PERCEPT_API_TOKEN — bearer token for API endpoints
• ZOOM_ACCOUNT_ID, ZOOM_CLIENT_ID, ZOOM_CLIENT_SECRET — Zoom OAuth
• GRANOLA_API_KEY — Granola Enterprise API (optional; local cache works without it)

Pipeline Health

bash

percept status

Returns: server status, live stream status, today's conversation count, database stats.