Open Source Perplexity Comet Alternatives

A curated collection of the 2 best open source alternatives to Perplexity Comet.

The best open source alternative to Perplexity Comet is Deta Surf. If that doesn't suit you, we've compiled a ranked list of other open source Perplexity Comet alternatives to help you find a suitable replacement. Other interesting open source alternative to Perplexity Comet is Browser Operator.

Perplexity Comet alternatives are mainly Browsers & Extensions but may also be Note Taking & Knowledge Management or AI Interaction & Interfaces. Browse these if you want a narrower list of alternatives or looking for a specific functionality of Perplexity Comet.

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Local-first AI notebook and browser that keeps files, web pages and notes in one place so research and writing happen side by side.

Screenshot of Deta Surf websiteRead more

Most applications handle one media type well, notes or web pages or PDFs, and leave you shuttling between windows. Deta Surf is an AI notebook that pulls your files and the web into the same stream of thought, cutting out the searching, tab juggling and copy-pasting that research usually involves.

Data stays on your machine in open formats, held by a local storage engine the project calls SFFS. Surf is built in Svelte, TypeScript and Rust, runs on macOS, Windows and Linux, and works with whatever language model you point it at, a cloud model with your own key or a local one.

Several features build on that private library.

  • Notebooks: local files, websites, YouTube videos and tweets are stored and organized, much of it usable offline.
  • Smart notes: any tab or library item can be mentioned inline, with citations deep-linked to a page section, a video timestamp or a PDF page.
  • Web search: research results come back into the note you are already writing.
  • Surflets: interactive applets are generated from a prompt to visualize data or explore a concept.
  • Tabs and split view: notes, files and web pages open side by side, with a sidebar for navigation.

Installers are documented in the repository, and building from source is covered by the contributing guide. The source is under Apache 2.0 with one exception noted in the license section. Surf suits people who want their reading, their notes and their AI in one window, without any of it leaving the machine unless they choose.

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A desktop AI browser that runs multi-agent research, comparison and automation locally, using whichever model provider you configure yourself.

Screenshot of Browser Operator websiteRead more

Browser Operator turns the browser itself into a place where AI agents do the work. Instead of opening thirty tabs and reading each one, you describe the task and specialized agents collaborate on it, which is what the project means by an intelligent platform for research, analysis and automation.

It is a downloadable application for macOS 10.15 or later and Windows 10 64-bit or later, asking for 8GB of RAM, 16GB recommended, and 2GB of free disk. Configuring a model takes four steps in settings: pick a provider, enter credentials, choose a model, save. OpenRouter signs in through the browser and opens up more than 400 models, OpenAI covers the GPT family, Groq is there for fast inference, and LiteLLM is the route to local models and privacy-sensitive setups.

The result is a browser that handles tasks rather than pages.

  • Multi-agent automation: agents work together autonomously on web tasks that span many steps and sites.
  • Privacy first: all processing happens locally on your machine, and pairing LiteLLM with Ollama gets you fully offline operation.
  • Research and analysis: literature reviews, data collection, competitive intelligence and market research.
  • Shopping and price tracking: product comparisons, review analysis and price monitoring over time.
  • Business automation: talent sourcing, lead generation and compliance audits.

Releases for both platforms are published on GitHub under the BSD-3-Clause license, with documentation and a Discord community for support. Bug reports, pull requests and doc improvements are all welcome.

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