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Open-source tools & agent skills to build the things you’re paying for.

Run cited research across the web, academic sources, and your own searchable document library.

Added 2026-10-07
Replaces
GitHub

What you can build

  • Code a tool that takes an exported Markdown report and outputs a checklist of citation links and passages that may need source review.
  • Code a converter that takes several exported Markdown reports and outputs a topic-by-source matrix showing where sources recur.
  • Code a workflow that takes a report and reader-supplied decision criteria, then outputs a concise memo with links back to cited evidence.
  • Code a comparison tool that takes two Markdown reports on the same question and outputs changed conclusions and newly cited sources.
  • Code a formatter that takes an exported report and outputs a reviewable source list with citation context for a literature-screening handoff.

Try this prompt

Build a small end-to-end citation coverage checker for Local Deep Research exports. Accept one exported Markdown report, identify its citation links and the nearby passages that refer to them, and produce a reviewable HTML report listing each link and any citations with no nearby passage. Preserve the original Markdown, make no network requests, and flag uncertain parsing rather than silently dropping citations. Include a sample input, tests, and clear local run instructions.

Get started

  1. Choose an installation route

    Follow the official Docker Compose Guide for CPU-only or Linux NVIDIA GPU setup, or use the pip installation guide for a local Python installation.

  2. Select model and search services

    Configure an LLM such as Ollama or an OpenAI-compatible endpoint, and a search engine such as SearXNG. Cloud providers may incur charges; local operation needs suitable compute.

  3. Start researching

    Open the web UI at localhost:5000, run a research question, and use the library workflow to index documents for later searches. Consult the install guide for platform-specific requirements.

License & notes

MITThe project is MIT-licensed and permits commercial use subject to retaining its license notice. Local models require suitable hardware and storage; hosting the app and its search services also uses your infrastructure. Cloud model or search-provider use may incur provider charges. No dollar amounts or plan terms are asserted.

  • Research depends on configured models and search services; local models need adequate hardware, while cloud services may incur charges.
  • Citation parsing in custom tools may need adjustment to the report’s actual Markdown structure; verify generated source lists before relying on them.
  • Docker host networking differs across operating systems; follow the platform-specific setup documentation.
  • The project reports no telemetry, but configured search, LLM, or notification services receive the requests you initiate. License and provider terms still apply.

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