AI assistants and search decision
Aymo AI
A capable technical user can build a useful, narrower self-hosted workspace (chat, PDF summarize, compare two model APIs) using existing open-source projects, but reproducing Aymo’s full hosted aggregation of 50+ models, polished team UX, and built-in hosted model access is larger in scope and operational cost—so build a subset or self-host prior-art instead.
Visit website↗Built by Musharof, who ships 3 products in this index
$8/mo
$96/yr
Read off the official pricing page.
$100one-off80 h to build
$50/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 8 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 Aymo AI alternatives, with the arithmetic →
What a replacement has to do
- Accept user input or file, attach conversation context, call one or more model provider APIs, display responses and allow switching/compare results, store conversation and files for a workspace.
What it still won’t have
- Built-in access to 52+ preconnected AI models and hosted model credits
- Polished multi-model catalog, regular model additions and comparisons for many vendors
- Vendor-hosted team management at scale, commercial support and SLA
- Chrome extension and other packaged productivity integrations
- The product’s advertised encryption and enterprise privacy controls as audited claims
What remains hard
- Brand trust
Trusted by 15K + professionals
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 8 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 self-hosted multi-model AI workspace: frontend in Next.js + Tailwind, backend Node.js/Express, Postgres for users/workspaces/messages, S3-compatible file storage, and Redis for rate-limiting. Integrate two provider APIs (OpenAI + Anthropic) via server-side proxy with per-user API key support (BYOK). Implement: user signup/login (JWT), workspace creation/invite, chat UI with message history, file upload + server-side PDF text extraction and context injection, a model-compare endpoint that fans out a prompt to both providers and returns responses side-by-side, and admin UI to view usage. Out of scope: connecting 50+ models, building a browser extension, enterprise billing, and audited encryption at rest. Include robust error handling, unit and integration tests for API endpoints, and deployment scripts (Docker + Terraform for a small cloud instance).
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
- Evidence score63
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 productAymo AI - product home
- official pricingAymo AI Pricing
- official docsAymo AI Docs - Introduction
- open sourcearc53/DocsGPT
- open sourceChatGPTNextWeb/NextChat
Integrity checks
What held up, and what did not.
