Anarlog: Open-source, local-first AI meeting notepad (formerly Hyprnote) by Fastrepl that records and summarizes private meetings on your own device with no bot. Koji: AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Anarlog when engineers and developers wanting private, bot-free meeting notes matters most, and Koji when building personas and validating early product concepts at scale matters most. Run both through a week of actual calls to see which suits your workflow.
Open-source, local-first AI meeting notepad (formerly Hyprnote) by Fastrepl that records and summarizes private meetings on your own device with no bot.
AI-native customer research platform whose AI interviewer runs voice and text discovery conversations at scale, then synthesizes themes automatically.
Anarlog is an open-source, local-first AI meeting notetaker developed by Fastrepl, Inc., the team behind the project previously known as Hyprnote and Char. It is positioned as an open-source alternative to cloud meeting-notes tools and is designed for people who want to keep meeting data under their own control. Instead of sending a bot into a call, Anarlog captures system audio directly on the user's computer, transcribes it locally, and merges the transcript with short notes the user jots down during the meeting to produce structured, editable summaries with action items. Audio, transcripts, and notes are stored as files on the local disk rather than in an external service, and users can choose between running local AI models or supplying their own API keys for cloud processing. The application is available for Apple Silicon Macs and its codebase is published on GitHub under a GPL license, so it can be inspected, forked, and self-hosted. Anarlog is best for engineers, privacy-conscious professionals, and teams that want bot-free meeting notes with full ownership of their data. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Koji is an AI-native customer research platform built around an AI interviewer that conducts natural, in-depth conversations with research participants at scale, removing the need to schedule and moderate live discovery calls one at a time. Teams describe what they want to learn, and an AI research agent helps define goals and generate an interview guide. The AI then runs the interviews asynchronously in either a text chat or spoken voice format, asking adaptive follow-up questions and probing for depth as a human moderator would. Each completed conversation is analyzed automatically for key moments and sentiment, and findings are synthesized across all interviews into study-wide reports surfacing themes, patterns, and recommendations, with every insight traceable back to the participant quote that supports it rather than presented as a black-box summary. Koji is used for exploratory work such as discovery, persona development, and market strategy, as well as concept and messaging testing. The product is operated from Amsterdam with EU data residency and GDPR compliance, offers a freemium entry point, and integrates with tools including Claude, ChatGPT, Cursor, and Notion via an MCP server. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Anarlog is a free tier with paid upgrades (freemium); Koji is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Anarlog | Koji |
|---|---|---|
| Core capability | Bot-free capture via local system-audio recording | Insights traceable back to specific participant quotes |
| Standout feature | Local transcription with notes merged into structured summaries | AI interviewer that runs asynchronous voice and text discovery conversations at scale |
| Team usage | Data stored as files on the user's own device | AI research agent that drafts research goals and interview guides from a brief |
| Integrations | Choice of local AI models or bring-your-own API keys | Automatic per-interview analysis with key moments and sentiment |
| Languages & capture | Open-source codebase available on GitHub | Cross-interview synthesis into study-wide themes, patterns, and recommendations |
| Best-fit workflow | Action-item extraction from meeting notes | MCP integrations with Claude, ChatGPT, Cursor, and Notion |
Anarlog
Choose Anarlog if you need engineers and developers wanting private, bot-free meeting notes — strengths include open source with a publicly available codebase.
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.
Anarlog
Koji
It depends on your workflow. Anarlog is strong for engineers and developers wanting private, bot-free meeting notes, while Koji is strong for running exploratory discovery interviews without scheduling live calls. Both transcribe and summarize meetings.
Anarlog is a free tier with paid upgrades and Koji 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.
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