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Morphic

AI-powered search engine with a generative UI that gives cited answers rendered as rich inline components.

AI search with a generative answer UI

Morphic answers with cited sources and renders images, grids and headings from a streamed spec.

Free forever · open source · Apache-2.0
✓ Light setup✓ Browser-based✓ Real-time collaboration
7
ZEKAI
Developer-friendly AI search
Free & open source · Students
Ease of setup4
Usefulness6
Maintenance9.5
Community8.5
★ 9,325
GITHUB
Nov 2026
UPDATED
Apache-2.0
LICENSE
🛠 Don't want to self-host? We can set it up →
⚡ Quick answer

Morphic is an AI search engine built on Next.js whose answers render as rich components rather than plain markdown. It suits developers who want to run or fork a Perplexity-style app with their choice of model and search provider. It is a web app you deploy, with a hosted instance linked from the repository.

Runs on
Web
Hosting
Cloud or self-host
Languages
TypeScript
License
Apache-2.0

What it is

You ask a question, Morphic searches through Tavily, SearXNG, Brave or Exa, and a model of your choice writes a cited answer. The answer can include source-credited images, grids and headings built from a streamed JSON spec. It stores chat history in PostgreSQL and lets you share a result by unique URL.

Who it's for

It suits developers and small teams who want a customisable AI search front end and can run Docker Compose or deploy to Vercel. It does not suit non-technical users who want a finished product with support, because setup involves environment files and several services.

Key features

Generative UI answers

Answers render inline images, grids and headings live from a streamed JSON spec.

Quick and Adaptive modes

Pick a faster search mode or an adaptive one for harder questions.

Model selector

Choose among OpenAI, Anthropic, Google, Ollama, Vercel AI Gateway and OpenAI-compatible providers.

Several search backends

Use Tavily, SearXNG, Brave or Exa as the search provider.

Shareable results

Share a search result through a unique URL, with chat history in PostgreSQL.

Accounts and guest mode

Built-in accounts through Better Auth or Supabase Auth, plus anonymous guest use.

How to start

Up and running in 3 steps

1
Clone the repo, then copy .env.local.example to .env.local and set at least one provider key such as OPENAI_API_KEY.
2
Start everything with docker compose up -d.
3
Open http://localhost:3000 and pick your model from the selector.
Real talk

Our honest verdict

What's great

  • The generative UI produces richer answers than plain text, including source-credited images.
  • Docker Compose starts Morphic, PostgreSQL, Redis and SearXNG together, so no separate search API key is needed.
  • A PRIVACY page documents what a self-hosted instance sends outbound and what is off by default.
  • A one-click Vercel deploy button is provided if you prefer not to run servers.

Where it falls short

  • You must supply at least one AI provider API key, so every answer costs model tokens unless you use a local Ollama model.
  • The full stack runs four containers (app, PostgreSQL, Redis, SearXNG), which is real operating overhead for a personal tool.
  • Features like chat history, authentication and file upload need extra configuration beyond the quick start.
  • It is a developer-oriented codebase using Bun and Next.js, so customising it assumes TypeScript skills.
Cost

Pricing & license

Morphic is free under Apache-2.0 and the repository shows no paid plan; it links a hosted instance at https://chat.morphic.sh whose terms are not covered in the README. Running it yourself costs your servers plus any model and search API usage.

Paid work

Open remote AI-training roles

768 open remote AI-training roles, updated November 14, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.

See all open roles →
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Questions

FAQ

Can I use Morphic without paying for search?

Yes. Docker Compose bundles SearXNG, so no extra search API key is required, though you still need a model provider key or a local Ollama model.

Does Morphic need a database?

Chat history is stored in PostgreSQL, which the Docker Compose setup starts for you.

Is there a hosted version?

The repository links chat.morphic.sh as its website, and you can also deploy your own to Vercel.

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