HeyMarvin and joinly are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. HeyMarvin: AI research assistant that records and transcribes user-research interviews and builds a searchable insights repository. 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. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
How Hosiqo compares and tests toolsFinal recommendation
For ai-meeting-assistants workflows, shortlist HeyMarvin when ux researchers transcribing and tagging user-interview calls matters most, and joinly when building custom ai meeting agents that answer questions and run tasks during live calls matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI research assistant that records and transcribes user-research interviews and builds a searchable insights repository.
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.
HeyMarvin 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 | HeyMarvin | joinly |
|---|---|---|
| Core capability | Records and automatically transcribes user-research interview calls | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Time-stamped notes and collaborative live note-taking during sessions | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | AI thematic analysis that clusters feedback into themes and patterns | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | Ask AI querying across research data with citations to source clips | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Searchable centralized research repository combining many data sources | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Video clips, highlight reels, and insight reports for sharing findings | Docker-based self-hosting with optional CUDA GPU image |
HeyMarvin
Choose HeyMarvin if you need ux researchers transcribing and tagging user-interview calls — strengths include tailored to user-research interviews rather than generic meeting notes.
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.
HeyMarvin
joinly
It depends on your workflow. HeyMarvin is strong for ux researchers transcribing and tagging user-interview calls, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
HeyMarvin 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.