AI assistants and search decision
Tana
A focused meeting notetaker that records, transcribes, and generates summaries/action items is realistic for a small team to build and run; reproducing Tana’s full product (native in-call agents, broad MCP integrations, enterprise compliance, and orchestration) is larger and better served by the hosted product.
Visit website↗$20/mo
$240/yr
Per seat. Read off the official pricing page.
$50one-off30 h to build
$70/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 4 seats.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Tana alternatives, with the arithmetic →
What a replacement has to do
- Record meeting audio, transcribe it, extract/summarize decisions and action items, store items in a simple searchable graph, and surface/send follow-ups.
What it still won’t have
- Native in-call agent automation that acts during the video call
- Deep, supported integrations (MCP/API-first ecosystem) and turnkey connectors
- Enterprise security, compliance, and dedicated support (SOC2/HIPAA claims)
- Multi-agent orchestration, skills, and the full knowledge-graph UX
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 4 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal agentic meeting notetaker as a web app using: React frontend, Node.js/Express backend, PostgreSQL, and Docker. Implement: (1) browser audio recording + upload endpoint; (2) async transcription via a speech-to-text API (e.g., Whisper/AssemblyAI) with timestamps; (3) LLM-based post-processing step to produce meeting summary, decisions, and action items (use OpenAI/GPT or other LLM API); (4) Postgres schema for meetings, participants, items, and a simple REST search endpoint; (5) outbound follow-up sender (SMTP) and optional Google Calendar task creation. Out of scope: building a full video conferencing client, multi-tenant enterprise SSO/SAML, SOC2/HIPAA attestation, and a marketplace of integrations. Include error handling, request retries, input validation, and automated tests for transcription processing and item extraction. Provide Docker compose for local dev and deployment notes for a single small VPS.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 5 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score67
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 5
Every page the run actually retrieved.
- official productTana (home)
- official pricingTana pricing
- official docsTana Outliner Learn
- open sourcearc53/DocsGPT
- open sourceaingdesk/AingDesk
Integrity checks
What held up, and what did not.
