Vane, Morphic, Scira, and Verity are four ways to bring AI-assisted web search closer to your own setup. They differ in what runs locally, which service retrieves web results, and how much configuration you must handle. That distinction matters: a locally hosted app can still send searches to an external provider.
What “local AI search” actually means
There are three separate pieces to consider: the search interface, the language model that writes an answer, and the service that retrieves web pages. An app may run on your computer while its model or search backend runs elsewhere. So “local” alone is not proof that every part of a search stays on your device.
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SearXNG, used by Vane and Morphic and supported by Verity, is a self-hosted metasearch engine. It aggregates results from other search services and databases; it does not make web retrieval offline. The SearXNG project says its users are not tracked or profiled, but that statement should not be read as a guarantee about every upstream service contacted during a search. SearXNG project
How the four alternatives compare
| Tool | Search retrieval | Model options | Setup distinction |
|---|---|---|---|
| Vane | SearXNG | Local Ollama models or cloud providers | SearXNG is bundled in the main Docker image, according to the project description. |
| Morphic | SearXNG, according to the cited article | Local models through Ollama or cloud LLM providers, according to the cited article | Available hosted or locally; the cited author reported setup errors in their own attempt. |
| Scira | Exa AI, according to the cited article | Not stated in the cited article’s details summarized here. | Described as locally runnable; local app hosting does not mean retrieval is local. |
| Verity | SearXNG | Ollama, llama.cpp, and OpenAI-compatible model servers, according to the cited article | Requires a separate SearXNG installation, according to the cited article. |
The Vane project documents running on user hardware, Ollama and cloud-provider support, SearXNG-powered web search, and cited answers. Vane project repository The descriptions of Morphic, Scira, and Verity here are based on Rahul Naskar’s Android Police article dated August 28, 2026; these project details are not independently verified in official documentation in the sources cited here. Android Police article
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Vane: a bundled SearXNG setup and flexible models
Vane is the clearest fit if you want to host the application on your own hardware and choose between a local Ollama model and a cloud model provider. Its project documentation describes cited answers and web search through SearXNG. The Docker image bundles SearXNG, reducing the need to configure that component separately.
The cited Android Police article describes Web, Academic, and Social toggles and reports its author’s preference for Vane. Those are useful cues about the available search modes, not evidence of a universal quality or performance advantage. Running Vane in Docker still involves deployment and configuration; the project’s local option is most relevant to readers comfortable managing software on their own hardware.
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Morphic: hosted or local, with setup caveats
Morphic is described as available both as a hosted service and for local use, with local Ollama models or cloud LLM providers and bundled SearXNG. That offers a choice between avoiding self-hosting and controlling more of the deployment yourself.
The Android Police author reported encountering errors during a local setup. That is one person’s experience, not a finding that Morphic routinely fails to install. If you choose the local route, allow time to troubleshoot rather than assuming the bundled search service makes deployment automatic.
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Scira: many search modes, external retrieval
Scira’s distinguishing feature in the cited article is breadth of specialized search: it reports 17 modes, including YouTube, Spotify, GitHub, Reddit, and X. The same article mentions asking questions about PDFs, extracting information from URLs, Python execution, and Supermemory; these feature descriptions are attributed to that article rather than independently verified here.
Scira is described as using Exa AI for search and content retrieval, rather than SearXNG. That matters if your main goal is to control the retrieval backend: installing the app locally does not establish that search queries remain on your machine. Review the service and data handling relevant to your own use before submitting sensitive queries.
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Verity: CLI and web interfaces, but bring SearXNG
Verity is described as offering both command-line and web interfaces and supporting Ollama, llama.cpp, and OpenAI-compatible model servers. Unlike the bundled SearXNG setups described for Vane and Morphic, Verity requires a separate SearXNG installation. That gives you a distinct component to configure and maintain, so it may suit someone comfortable assembling a self-hosted stack better than someone seeking a turnkey search page.
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Which one should you try?
- Choose Vane if you want documented local hardware and Ollama support, cited answers, and SearXNG bundled with the Docker image.
- Consider Morphic if the option of hosted or local use and local-or-cloud model choice appeals to you, and you are prepared for possible setup troubleshooting.
- Consider Scira if specialized search modes are the draw and you accept that its described retrieval depends on Exa AI.
- Consider Verity if you want CLI or web access and are comfortable installing and operating SearXNG separately.
None of the available evidence establishes a comparative speed, answer-quality, privacy, or hardware benchmark. Local model requirements depend on the model and configuration you choose; no minimum RAM, GPU, or model size is established for these four tools.
What Perplexity still offers
Perplexity remains the convenience baseline: its product page describes real-time open-web research with cited answers. The page lists core search as free and Pro at $20 per month or $200 per year; plans and prices can change, so check the current page before relying on those figures. Perplexity plans
The trade-off is practical rather than absolute: a ready-made hosted search experience takes less setup, while self-hosted alternatives can give you more control over where the app and model run. You still need to account for any external model or retrieval provider the chosen configuration uses.
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