Attendee: Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts. joinly: Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Attendee when developers embedding meeting recording and transcription into their own saas products matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Try them side by side on real calls before deciding — needs vary by team.
Open-source, self-hostable meeting bot API that sends bots into Zoom, Google Meet, and Microsoft Teams to capture recordings and transcripts.
Open-source, self-hostable connector that lets AI agents join Google Meet, Zoom, and Microsoft Teams calls to transcribe, listen, and act in real time via MCP.
Attendee is an open-source REST API, developed by Attendee Labs, that abstracts the engineering work of building meeting bots into a single developer-friendly interface. Instead of maintaining separate bot stacks for each video platform, developers send one API request and Attendee dispatches a bot that joins a Zoom, Google Meet, or Microsoft Teams call, then returns recordings, transcripts, and real-time media streams. It is built on widely used, battle-tested technologies such as Django, PostgreSQL, and Redis, and is designed to run from a single Docker image so teams can self-host it on their own infrastructure for data residency, compliance, and cost control. The project documents real-time transcription, webhooks, calendar integration, scheduled meetings, and websocket audio input/output. Because it is open source and self-hosted, organizations in regulated industries can keep meeting audio and transcripts inside their own environment rather than routing them through a third-party vendor. The repository is actively maintained with frequent releases, and the project markets itself as a lower-cost alternative to closed-source meeting-bot platforms for developers who want to embed meeting capture and transcription into their own applications. Pricing varies by plan. Check the official website for current pricing.
Best suited for
joinly is an open-source middleware project (by joinly-ai) that makes meetings accessible to AI agents. It runs as a Model Context Protocol (MCP) server that equips any agent with the tools to join a live video call, capture a real-time transcript, and interact by voice or chat during the meeting. Rather than being a finished notetaker app, joinly is a framework developers use to build interactive meeting agents that can listen, answer, search the web, draft documents, and post chat messages while the meeting is in progress. It works cross-platform across Google Meet, Zoom, and Microsoft Teams (and browser-based calls), and is model-agnostic, supporting OpenAI, Anthropic, and local models through Ollama. Speech-to-text and text-to-speech are modular, with Whisper or Deepgram for transcription and Kokoro, ElevenLabs, or Deepgram for synthesis. The project is MIT licensed and deployed via Docker (with a separate CUDA GPU image), giving teams full data sovereignty. The MCP server exposes join/leave controls, transcript and participant access, audio control, chat messaging, and video snapshots, making it a building block for custom, privacy-first meeting automation. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Attendee is a free tier with paid upgrades (freemium); joinly is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Attendee | joinly |
|---|---|---|
| Core capability | Unified REST API for deploying bots to Zoom, Google Meet, and Microsoft Teams | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Meeting recording and transcript retrieval through API endpoints | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Real-time media pipeline with websocket audio input/output | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Webhooks for event-driven workflows | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Calendar integration and scheduled-meeting support | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Single Docker image self-hosting built on Django, PostgreSQL, and Redis | Docker-based self-hosting with optional CUDA GPU image |
Attendee
Choose Attendee if you need developers embedding meeting recording and transcription into their own saas products — strengths include fully open source and designed for convenient self-hosting, keeping meeting data on your own infrastructure.
joinly
Choose joinly if you need building custom ai meeting agents that answer questions and run tasks during live calls — strengths include fully open source (mit) and self-hostable for complete data control.
Attendee
joinly
It depends on your workflow. Attendee is strong for developers embedding meeting recording and transcription into their own saas products, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Attendee is a free tier with paid upgrades and joinly is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
You can — some teams pair them when each covers a different part of the meeting workflow.
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