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Editions: Community vs Hosted ​

Scrapalot follows an open-core model. The core is free and open source so you can self-host it on your own hardware, while the full-featured product is offered as a managed subscription on our cloud — the hosting, the advanced AI surfaces, and the native apps are what fund ongoing development.

There are two ways to run Scrapalot:

Community EditionHosted (Pro · Team · Enterprise)
PriceFree (self-hosted, you pay your own infra)Free Researcher tier, paid Pro · Team · Enterprise — see Pricing
LicenseAGPL-3.0 (open source)Proprietary, managed by us
Runs onYour own server (Docker Compose)Our cloud, zero setup
AppsBrowserBrowser · desktop (Windows/macOS/Linux) · Android
Updates & backupsYou manageManaged, automatic
SupportCommunity (Discussions, Discord)Email / priority / dedicated

The Community Edition source lives in its own public repository (AGPL-3.0): github.com/sime2408/scrapalot — all four services plus a docker-compose.yml that runs the whole stack. The full hosted product is a separate, proprietary codebase. (⭐ star the repo and join Discord to follow development.)

What's in the free, open-source Community Edition ​

Everything you need to read, organize and chat with your own document library on your own infrastructure:

  • 📥 Document ingestion — PDF and common formats, OCR, chunking and embeddings (pgvector)
  • 🔎 Core RAG chat — vector-search retrieval over your collections
  • 📝 Collaborative notes editor — TipTap with real-time (Y.js) editing
  • 🔊 Read-aloud (TTS)
  • 🔑 Bring Your Own Key (BYOK) — OpenAI, Anthropic, DeepSeek, or local models
  • 🐳 Self-host with Docker Compose — single-user, no usage quotas on your own box

What's exclusive to the Hosted product ​

The advanced AI surfaces and collaboration features that make up the paid tiers stay in the proprietary, hosted product:

  • 🧠 Advanced RAG — fusion, agentic routing and reranking strategies beyond core vector search
  • 🔬 Deep Research — multi-phase, multi-agent, cited research runs
  • 🕸️ Knowledge Graph — Neo4j entity linking and graph-aware retrieval
  • 📄 AI Scientist — publication-style paper generation
  • ✍️ Notes AI assistant — fact-check, peer review, compose from sources
  • 🎙️ Voice chat / speech-to-text and 🖼️ image generation
  • 🔌 MCP integrations (connect your own MCP servers, or use Scrapalot from Claude Code / Gemini CLI) and external connectors (Google Drive, Dropbox, OneDrive, Notion, Confluence, Slack, Zotero)
  • 👥 Team chat, direct messages, huddles, shared workspaces and multi-user collaboration
  • 🧮 Programmatic API access and advanced analytics
  • 📱 Native apps — desktop (Windows, macOS, Linux, with local speech-to-text and local models) and Android
  • 🛟 SLA, on-premise and enterprise options

Want it managed?

Skip the setup — start free on our cloud with the Researcher tier and upgrade when you need the advanced features. See Pricing.

Open-core — Community Edition under AGPL-3.0 · Hosted product is proprietary.