Hi HN — we built agentcall.dev because the coding agent you're already running in your terminal shouldn't be trapped there.

The pitch: your existing Claude Code, Codex, OpenClaw, or Cursor session joins a Google Meet, Teams, or Zoom call as itself. Same session, same context, same file access. It speaks, listens, screen-shares a localhost webpage, and can code live while you all talk about what it's building.

What's actually on the call:

• Voice in, voice out. Two modes — collaborative (sub-second via a voice intelligence layer tuned for latency) or direct (~2s, your coding agent itself doing the talking, with full reasoning).

• Screen share that is not a desktop grab. It's a URL or local port rendered into the meeting through a per-call tunnel (temp subdomain + secret token, dies when the call ends). The agent chooses what to expose, nothing else leaks.

• Shareable webpage links that participants open in their own browser — live dashboards, diffs, forms — served from the agent's localhost, tunneled only for the call.

• Meeting chat: the agent reads incoming messages (great for dropping in URLs, error logs, code snippets that sound terrible over TTS) and sends them back — your agent can paste a PR link while still talking.

• Participant awareness: the agent knows who's in the room, who joined, who left, and who's actively speaking. It can raise its hand to speak politely, toggle its own mic, and change voice/interruption/barge-in settings on the fly.

• Leave and rejoin on command. Ask mid-call ("leave for two minutes and come back") and the agent does it.

• TS/STT run on our own servers (several voices, English STT today, multi-language TTS). No data to third parties in direct mode.

Everything above is controlled by your coding agent through the skill. There are no hardcoded meeting behaviors — the agent decides when to speak, when to chat, when to raise a hand, what to share.

What we don't do: we don't run the coding agent. The agent's model calls, file I/O, tokens, and tools all happen on your machine or your cloud. We don't store recordings or screen captures by default — everything streams to the agent in real time and the agent decides what to keep. Transcripts are in-memory for crash resilience and wiped on disconnect unless you opt into retention (up to 7 days).

We bundle TTS + voice + tunneling, start at $0.35/min (drops with volume), and store nothing by default. We join existing meetings — we're not a new video platform.

Get AgentCall Running — 2 Minutes Works with Claude Code (best), Codex, and Cursor.

1. Install the skill install join-meeting skill from https://github.com/pattern-ai-labs/agentcall

2. Get your API key Sign up at https://agentcall.dev , copy your key from the dashboard, and paste it when the skill asks.

3. Invite the agent to a meeting Paste any Google Meet / Zoom / Teams URL into your agent:

Give it 30–60 seconds for the bot to spin up. Once it joins, start talking.

Demo: https://www.youtube.com/@pattern-ai-labs

Would love feedback on the voice latency in direct mode, the privacy model, and where the "joining existing meetings" framing breaks for your workflow.