Web research, without the noise

Run your own AI agent that reads, summarizes, and cites the web — privately, on your servers.

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Autonomous web research — synthesis and sources in one command.

Research, summarized

Turn any question into a sourced, human-readable summary.

The Web Research Agent reformulates your query, searches multiple engines, crawls key pages, and writes a clean synthesis with verified links — all on your servers.

Your own research assistant, on autopilot

Once deployed, the Web Research Agent runs your queries end-to-end — from reformulation to synthesis. It searches, reads, and summarizes the web for you, turning hours of manual research into minutes of autonomous output.

1

Multi-angle discovery

Each question is expanded into several complementary searches.
The agent explores multiple sources, filters duplicates, and keeps only the most relevant content before writing the final synthesis.

2

Clean, sourced summaries

Crawl4AI extracts clean text from pages, removing ads, clutter, and formatting noise. The LLM then builds a concise, well-structured answer with direct links you can cite.

3

Fully local and under your control

Everything runs on your infrastructure — SearxNG, Crawl4AI, and the LLM of your choice. You own the code, the workflow, and every result the agent produces.

Information that feels usable

The Web Research Agent isn’t just a faster way to search — it’s a different way of consuming information. Instead of jumping between tabs, reading pages diagonally, and stitching notes together, you receive a clear narrative you can use immediately. It highlights what matters, removes what doesn’t, and gives you the feeling that the internet has finally been distilled into something readable and useful.

Because everything is structured the same way — concise overview, key points, and direct sources — teams can brief themselves quickly, make decisions faster, and stay aligned without spending half their day collecting links. It’s not about automating research for the sake of automation; it’s about turning raw online information into something human-friendly, consistent, and immediately actionable.

How it works

01

Ask a question
You start with a simple prompt — a topic, a problem, or something you need to understand quickly.

02

The agent explores the web
It scans multiple angles, looks for reliable pages, and collects the most relevant information without the noise.

03

It reads and cleans the content
The agent extracts only what matters: text, structure, meaning. Everything distracting disappears.

04

It connects the dots
Instead of giving you raw links, it turns the findings into a coherent narrative that’s easy to absorb.

05

You receive a sourced summary
Clear explanation, key points, and citations you can check instantly.
A brief you can use — not a list of pages you still have to read.

Use cases

Competitive snapshot

Scan the web for the latest moves in your industry.
The agent condenses articles and updates into one quick brief, easy to read before meetings.

Automated monitoring

Set a recurring query and let the agent track the news for you.
It summarizes the latest articles and key developments, giving you a clean update without manual research.

Content prep

Gather background material for reports or blog posts.
The agent extracts the key points and sources, so you focus on writing instead of digging

Formats & pricing

Use it your way — deploy the agent on your servers and automate your research workflow.

Web Research Agent — Full Source Code

€150

Best when you want full control, local execution, and a private research engine you own.

Includes

  • Complete source code for the Web Research Agent
  • Docker stack (SearxNG + Crawl4AI + Agent API)
  • Configuration templates and environment examples
  • Quickstart scripts and usage guide
  • Free minor updates

Delivery

  • Instant secure download
  • Perpetual license for a single project
  • Unlimited internal use, no recurring fees

GET THE AGENT

Frequently asked questions

What exactly am I buying?

You receive the full codebase, Docker setup, configuration templates, and documentation. Everything needed to run the agent privately on your infrastructure.

It runs locally, but it does require internet access to fetch public web pages during research. The LLM can be local (via Ollama) or cloud-based if you prefer.

Yes. You fully own the code. You can adjust prompts, filters, workflows, or integrate the agent into your internal tools.

Only if you choose a cloud LLM provider such as OpenAI, Mistral, or Google. Running with Ollama requires no external keys.

The agent automatically skips it and continues with the remaining sources. You will still receive a complete summary based on valid pages.

Yes. All processing runs on your servers. Searches are performed through your own SearxNG instance, and content extraction never leaves your environment.

Most teams get a fully working setup in under 10 minutes using the provided Docker stack and quickstart instructions.