Echometer: Psychology-based platform for agile retrospectives, recurring team health checks, and structured 1:1 meetings with AI-assisted suggestions. 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 Echometer when running recurring agile retrospectives with consistent, structured templates matters most, and joinly when self-hosted, privacy-first real-time meeting transcription for regulated teams matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Psychology-based platform for agile retrospectives, recurring team health checks, and structured 1:1 meetings with AI-assisted suggestions.
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.
Echometer is a German-built platform purpose-made for running team retrospectives, recurring team health checks, and structured one-on-one (1:1) meetings. Aimed at engineering managers, scrum masters, and agile coaches, it pairs interactive retrospective boards with research-grounded survey questions so teams get guided, psychology-based reflection rather than a blank whiteboard. The retrospective tool offers a wide range of templates (such as Sailboat, Keep-Stop-Start, and others), supports both synchronous and asynchronous retros, and lets teams group, prioritize, and track measures coming out of each session. Health-check pulses run on a recurring basis to gather anonymous feedback and visualize how a team's agile maturity and satisfaction develop over time. A separate 1:1 meeting module provides templates and structured formats for manager-employee conversations. Echometer includes smart, AI-supported recommendations that surface food for thought and help brainstorm action items during retrospectives and 1:1s. The product is hosted in an ISO 27001-certified data center in Germany, offers a free tier, and is used by both small teams and large enterprises that want a consistent, data-informed approach to continuous team improvement. 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
Echometer 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 | Echometer | joinly |
|---|---|---|
| Core capability | Interactive, psychology-based retrospective boards with grouping and prioritization | MCP server that exposes meeting tools (join/leave, transcript, chat, audio control, snapshots) to AI agents |
| Standout feature | Recurring team health-check pulses with longitudinal trend visualization | Real-time transcription with timestamps and speaker information, subscribable for live updates |
| Team usage | Dedicated 1:1 meeting module with structured templates | Cross-platform support for Google Meet, Zoom, Microsoft Teams, and browser-based calls |
| Integrations | AI-supported recommendations for retro and 1:1 discussion topics and action items | Modular speech-to-text and text-to-speech backends (Whisper, Deepgram, Kokoro, ElevenLabs) |
| Languages & capture | Synchronous and asynchronous retrospective support | Model-agnostic: works with OpenAI, Anthropic, and local LLMs via Ollama |
| Best-fit workflow | Tracking of measures and action items across sessions | Docker-based self-hosting with optional CUDA GPU image |
Echometer
Choose Echometer if you need running recurring agile retrospectives with consistent, structured templates — strengths include covers retrospectives, health checks, and 1:1s in a single purpose-built tool.
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.
Echometer
joinly
It depends on your workflow. Echometer is strong for running recurring agile retrospectives with consistent, structured templates, while joinly is strong for building custom ai meeting agents that answer questions and run tasks during live calls. Both transcribe and summarize meetings.
Echometer 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.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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