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Vexa

Open-source meeting bots, real-time transcripts, and sandboxed AI agents.

Open-source meeting transcription and AI agents

Stream live transcripts from Google Meet, Teams, and Zoom into your own Markdown knowledge base.

Free forever · open source · Apache-2.0
✓ Needs IT✓ Browser-based✓ Real-time collaboration
7.8
ZEKAI
Open-source meeting agent platform
Free & open source · Pro Services
Ease of setup5
Usefulness9
Maintenance9.5
Community7.5
★ 2,856
GITHUB
Oct 2026
UPDATED
Apache-2.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Vexa sends automated bots into video calls to stream speaker-attributed transcripts and feed sandboxed AI agents. It suits engineering teams and technical professionals who want to own their meeting data without relying on third-party SaaS clouds.

Runs on
Web
Hosting
Cloud or self-host
Languages
Python
License
Apache-2.0

What it is

The platform combines a meeting capture API for Google Meet, Microsoft Teams, Zoom, and Jitsi with an agentic runtime. Captured calls compile directly into a git repository of Markdown files, implementing an LLM Wiki pattern where agents maintain structured entity pages.

Who it's for

It suits developers and technical teams with Docker proficiency who want to self-host meeting intelligence or build custom transcription pipelines. It does not suit non-technical users looking for a simple web app that works out of the box without command-line configuration.

Key features

Multi-platform bot fleet

Spawns automated bots into Google Meet, Microsoft Teams, Zoom, and Jitsi calls.

Live speaker transcription

Streams draft-then-confirmed, speaker-attributed transcripts in real time over WebSockets.

Git-based knowledge compilation

Automatically compiles meeting notes into a portable, grep-friendly Markdown knowledge base.

Sandboxed agent runtime

Executes coding agents in isolated Docker or Kubernetes containers with no unauthorized network egress.

How to start

Up and running in 3 steps

1
Clone the repository and run make all to pull the Docker Compose stack and seed your environment.
2
Access the local terminal UI workbench at http://localhost:13000 to send your first meeting bot.
3
Integrate the API gateway or use cURL commands to stream transcripts and interact with workspace agents.
Real talk

Our honest verdict

What's great

  • Captures live meetings across major video platforms using your own self-hosted or cloud infrastructure.
  • Compiles conversations into standard Markdown files inside a git repository you fully own.
  • Runs agents in isolated ephemeral containers that safely read and write your workspace data.
  • Provides a complete standalone transcription API if you choose to ignore the agent features.

Where it falls short

  • Running the full stack requires Docker engine v26, Make, and technical configuration.
  • Transcription requires external API credentials or a self-hosted GPU transcription unit.
  • Building from source for contributors demands a machine with 8 vCPUs and 16 GB RAM.
Cost

Pricing & license

Free under the Apache-2.0 licence when self-hosted, with an optional hosted SaaS at vexa.ai that provides $2 of free bot credit and charges approximately $0.30/hr thereafter.

Paid work

Open remote AI-training roles

880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

See all open roles →
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Questions

FAQ

Which video conferencing platforms does Vexa support?

Vexa officially supports Google Meet, Microsoft Teams, Zoom, and has offline-proven support for Jitsi.

Can I use the transcription API without the AI agents?

Yes, the transcription API is a complete standalone product where you send a bot and read the stream without running the agent lane.

Where is my meeting data stored?

When self-hosted, your transcripts compile into a local git repository of Markdown files on your own infrastructure.

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