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Built with AgentCall

Real, working things people build on AgentCall — the API that gives an AI agent a real seat in a live meeting: it listens (live transcripts), speaks, shows an on-camera tile, and shares its screen — the same way across Google Meet, Zoom, and Teams.

Every project here is a self-contained folder you can clone, run, and build on.

Built something on AgentCall? Add it →

Projects

Project What it does Stack
meeting-notetaker A silent bot that joins your call, writes the whole transcript live, and leaves when everyone else does. Python · Node
meeting-presenter A skill that turns your AI agent into a presenter: it joins your call and delivers your slides on its camera, narrated aloud and advancing on their own, and you steer it by voice or a control page. Python
meeting-standup A skill that turns your AI agent into a standup manager: it handles your standup meetings like a pro, calls on everyone in the call by name, keeps time, remembers blockers across days and follows up until they're cleared, then posts a summary with action items to the chat. Python

More coming — yours could be next.

Run one

Clone the whole repo:

git clone https://github.com/pattern-ai-labs/built-with-agentcall
cd built-with-agentcall/folder-name

…or grab just one folder:

git clone --filter=blob:none --sparse https://github.com/pattern-ai-labs/built-with-agentcall
cd built-with-agentcall && git sparse-checkout set folder-name

Each folder has its own README.md with setup steps.

Contribute

Fork this repo, add your project as a new top-level folder (with its own README.md), and open a pull request. See CONTRIBUTING.md for the conventions — one folder per project, kebab-case name, no committed secrets.

About AgentCall

AgentCall is the meeting layer under all of this — one API to put an AI agent into a call with voice, an on-camera presence, screen-share, and real-time transcription, identically on Meet, Zoom, and Teams. These projects are what you build on top of it.


MIT — see LICENSE. By Pattern AI Labs.

About

A collection of real-world use cases built with agentcall.dev — each folder is a self-contained, working example. By Pattern AI Labs.

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