Koji and Minutes are both AI meeting assistants for recording, transcription, and summaries, compared here on pricing, features, and workflow fit. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. 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 Koji when running exploratory discovery interviews without scheduling live calls matters most, and Minutes when building a private, searchable memory of meetings and voice notes that ai agents can query matters most. Both record across Zoom, Google Meet, and Microsoft Teams; trial each on real meetings before committing.
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Koji is a free tier with paid upgrades (freemium); Minutes is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Koji | Minutes |
|---|---|---|
| Core capability | Insights traceable back to specific participant quotes | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | AI interviewer that runs asynchronous voice and text discovery conversations at scale | Speaker diarization to attribute who said what |
| Team usage | AI research agent that drafts research goals and interview guides from a brief | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | Automatic per-interview analysis with key moments and sentiment | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | Cross-interview synthesis into study-wide themes, patterns, and recommendations | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | MCP integrations with Claude, ChatGPT, Cursor, and Notion | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
Koji
Choose Koji if you need running exploratory discovery interviews without scheduling live calls — strengths include removes scheduling overhead by running many interviews in parallel and asynchronously.
Minutes
Choose Minutes if you need building a private, searchable memory of meetings and voice notes that ai agents can query — strengths include fully local-first and mit licensed, keeping conversation data private and portable.
Koji
Minutes
It depends on your workflow. Koji is strong for running exploratory discovery interviews without scheduling live calls, while Minutes is strong for building a private, searchable memory of meetings and voice notes that ai agents can query. Both transcribe and summarize meetings.
Koji is a free tier with paid upgrades and Minutes 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.