Products

Two flagship systems, equal priority: one for deep, citation-ready research, one for autonomous software creation.

ResearchAnything.ai

Live

ResearchAnything.ai breaks complex questions into an execution plan, searches multiple engines, scrapes web and academic sources, then ranks and deduplicates evidence to produce structured, citation-ready reports.

Open ResearchAnything.aiSee capabilities

Research Pipeline

  • Planning + query expansion
  • Multi-engine search orchestration
  • Scrape web, PDFs, and academic sources
  • Source scoring + deduplication

Output & Trust

  • Structured final reports
  • Quote extraction with claim support
  • Multi-format citations (MLA, APA, Chicago)
  • Live progress streaming UI

How it works

  1. 1

    Plan

  2. 2

    Search

  3. 3

    Scrape

  4. 4

    Evaluate

  5. 5

    Synthesize + Cite

Under the hood

  • • Python FastAPI backend with a React + TypeScript frontend
  • • Real-time progress updates over WebSocket/SSE
  • • Two depth tiers: default mode and RA-1 deep mode that learns source reliability and topic clusters across runs

Security & reliability

  • Top-source selection keeps signal high (targeting ~10–12 strongest sources)
  • Transparent citation trail for verification
  • Designed for repeatable, professional research workflows
Coming Soon

Multi-Agent Coding System

Coming Soon

The Multi-Agent Coding System coordinates five specialized agents with dedicated prompts and live PTY terminals, using a shared SQLite knowledge base and message bus to build production-style projects autonomously.

Join Early Access
Coming soon

Collaboration Model

  • Parallel agent execution
  • Shared knowledge base + file registry
  • File lock system to avoid conflicts
  • Inter-agent messaging and review requests

Developer Experience

  • Live terminals per agent
  • Download workspace as ZIP
  • Preview generated output in iframe
  • Real-time status badges and logs

How it works

  1. 1

    Architect defines system plan

  2. 2

    DevOps scaffolds repository + runtime

  3. 3

    Backend implements APIs/services

  4. 4

    Frontend ships the UI

  5. 5

    QA tests, reviews, and patches

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Five-agent system

  • Architect: plans architecture and sequencing, no app-code implementation.
  • DevOps: scaffolds repository, environment, and Docker runtime.
  • Backend: implements APIs, services, and integration logic.
  • Frontend: builds the UI and interaction layers.
  • QA: tests, reviews, and patches small issues quickly.