AI assistants and search decision

OpenAssistantGPT

Because the project is open-source and the core features (crawler, RAG, OpenAI Assistant proxy, embeddable widget) are implementable by one developer in about a week, a technical user can self-host or build a narrow equivalent; however the vendor's hosted SaaS-level polish, enterprise features, and managed operations are nontrivial to reproduce.

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Subscription$18/month ✓ verified
Initial build6 hours
Monthly upkeep3 hours + $100
Evidence1/2 runs agree

What a replacement has to do

  • Accept a website URL, crawl and extract content, embed and index text, proxy chat messages to OpenAI Assistants (with tool calls), render a chat widget on a website, handle file uploads for RAG.

What it still won’t have

  • Hosted multi-tenant SaaS operations, uptime SLA and scaling
  • Enterprise features such as SAML/SSO and SLA guarantees
  • Polished UI, whitelabeling and analytics as provided by the vendor
  • Company-provided support, onboarding and managed backups

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

Keep paying

Paying ischeaper in year one.

On cash alone, building overtakes the subscription at 6 seats.

Paid seatsseats

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

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

Not run yet
Build a self-hostable OpenAssistantGPT-compatible chatbot platform using Node.js + TypeScript (Next.js for UI), Postgres + PGVector for vector storage, and a small Express/Next API server to proxy to OpenAI Assistants. Core features in scope: 1) website crawler and HTML extractor, 2) embeddings ingestion and similarity search, 3) backend chat proxy that composes RAG responses and supports simple tool calls, 4) embeddable chat widget and dashboard for threads, 5) file upload parsing (CSV, images) and ingestion. Out of scope: multi-tenant enterprise features (SAML/SSO), billing UI, advanced analytics, and autoscaling. Include error handling, logging, CI tests for crawler, ingestion, and chat flows, and a Docker Compose setup plus a one-page README with deployment steps and env var examples.
How we checked4 sources · 1/2 runs agreed · evidence score 99

How the score was reached

  • Self-host verdict base92
  • An open-source build was found+5
  • 4 cited sources+3
  • Price verified on pricing page+3
  • Evidence score99

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 · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page! 1 of 2 runs agreed; the verdict is the middle of them✓ Citations limited to fetched pages! 1 moat recorded