joinly and timeOS are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. 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. timeOS: AI meeting assistant that captures, transcribes, and summarizes meetings and routes notes and action items into your tools. They overlap on ai-meeting-assistants, so the right pick depends on team size, budget, and which meeting workflows you automate.
For ai-meeting-assistants workflows, shortlist joinly when building custom ai meeting agents that answer questions and run tasks during live calls matters most, and timeOS when automated post-meeting workflows matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
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.
Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based callsDocker-based self-hosting with optional CUDA GPU imageMCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents
joinly is a free tier with paid upgrades (freemium); timeOS is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents
Automatic capture and transcription
Standout feature
Real-time transcription with timestamps and speaker information, subscribable for live updates
AI summaries and action items
Team usage
Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls
Sync notes to docs and task tools
Integrations
Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs)
Multi-language support
Languages & capture
Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama
Shareable recaps
Best-fit workflow
Docker-based self-hosting with optional CUDA GPU image
Automatic capture and transcription
Best for
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.
timeOS
Choose timeOS if you need automated post-meeting workflows — strengths include automates post-meeting follow-up across tools.
Pros & cons
joinly
+ Fully open source (MIT) and self-hostable for complete data control
+ Agents can actively participate by voice and chat, not just passively transcribe
- Developer-oriented framework that requires setup and engineering effort rather than a ready-made app
timeOS
+ Automates post-meeting follow-up across tools
+ Works across major platforms
- Joins meetings to capture them
FAQ
Is joinly or timeOS better for AI meeting notes?
It depends on your workflow. joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls, while timeOS is strong for automated post-meeting workflows. Both transcribe and summarize meetings.
How do joinly and timeOS compare on price?
joinly is a free tier with paid upgrades and timeOS is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Can I use both joinly and timeOS?
Yes. Many teams run more than one meeting assistant when the workflows are complementary and the budget is justified.