miurla/morphic

An AI-powered search engine with a generative UI

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Summary Information

Updated 34 minutes ago
Added to GitGenius on September 7th, 2026
Created on April 5th, 2024
Open Issues & Pull Requests: 57 (+0)
GitHub issues: Enabled
Number of forks: 2,350
Total Stargazers: 9,094 (+0)
Total Subscribers: 68 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 21.1 hours
Mean response time: 17.0 days
90th percentile: 59.1 days
Tracked items: 137

How this project is maintained

Around half of the issues opened in the past year never receive a reply. 91% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Work labelled "automated" is answered fastest, typically in about 21 hours, while "enhancement" waits about 9 weeks. Only 13% of issues opened in the past year have been closed. Three people close 89% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 32
New in 7 days: 2
Closed in 7 days: 3
Avg open age: 476 days
Stale 30+ days: 29
Stale 90+ days: 27

Recent activity

Opened in 7 days: 1
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • automated (21)
  • enhancement (12)
  • v1.0 (9)
  • bug (7)
  • invalid (5)
  • UI/UX (2)
  • duplicate (1)

Detailed Description

Morphic is an AI-powered search engine that combines traditional web search with generative AI to produce grounded, cited answers rendered through a dynamic user interface.

The tool addresses the limitation of standard search engines by integrating AI models with real-time web search results. When a user performs a search, Morphic retrieves current information from multiple search providers, passes it to an AI model for synthesis, and streams back a generative UI that renders rich inline components—source-credited images, grids, headings, and other structured elements—directly from a JSON specification rather than plain markdown. This approach grounds answers in actual search results while presenting them in a more interactive format. The system supports two search modes: Quick for straightforward queries and Adaptive for more complex reasoning tasks.

Morphic suits developers building search-centric applications or those wanting to explore generative UI patterns in production. The tool supports multiple AI providers including OpenAI, Anthropic, Google, Ollama, and OpenAI-compatible services, with dynamic provider detection so users can select their preferred model at runtime. Search can draw from Tavily, SearXNG, Brave, or Exa. For deployment, Docker Compose offers the simplest path, bundling PostgreSQL, Redis, and SearXNG so no external search API keys are required. The project includes optional features like chat history, user authentication via Supabase, file uploads, and shareable result URLs, though these require additional configuration.

Development activity shows consistent engagement with recent commits addressing core functionality and user-facing features. The codebase maintains active refinement of the generative UI rendering pipeline and model integration layer. Documentation is organized into separate guides for Docker deployment and configuration, indicating attention to onboarding different deployment scenarios. The project accepts external contributions through a formal contributing guide, suggesting openness to community involvement.