The DAM you outgrew.

The Problem

A stack designed for another era

ResourceSpace is built on PHP, MySQL, and jQuery. That stack made perfect sense when it was designed. It does not make sense as the foundation for AI-native asset management. The architecture was never intended to orchestrate vision models, process video scene analysis, or run semantic vector search.

Their 11.0 roadmap (scheduled June 2026) is focused on modernization: removing jQuery, adding Composer, PHP 8.5 compliance, and moving to Lucide icons. S3 storage is in "Scoping" and a local LLM to replace the OpenAI-only plugin is "Waiting for go-ahead." The team is actively working on infrastructure catch-up, but these are foundational changes that BETTER! shipped from day one.

AI integration today is through an OpenAI-only plugin with no model choice and no local AI option. An OpenAI token usage cap is in progress (ETA March 23). If you want to use Claude, Gemini, or run Ollama on your own hardware, that is not available today. A "Local LLM to replace OpenAI GPT" item exists on their roadmap but is waiting for approval.

The Answer

Built for the AI era, not retrofitted

• BETTER! was designed from scratch for the world that exists today. Next.js, FastAPI, PostgreSQL with vector extensions, Typesense for sub-50ms search, and a provider-agnostic AI architecture.
• Choose any AI provider: Claude, GPT, Gemini, OpenRouter (300+ models), or Ollama running on your own hardware. Not locked to a single vendor plugin.
• Asset intelligence learns your brand voice, your naming conventions, your taxonomy. It does not just tag images with generic keywords.
• Scene-by-scene video analysis with Whisper transcription ships today, not "coming soon."
• Migration engine transfers your users, assets, metadata, files, and permissions in one operation. It even decodes ResourceSpace's obfuscated filestore using their scramble key. Your library moves intact.

Feature Comparison

Side by side

Green = shipped today. Yellow = on roadmap / in progress. Red = missing or not planned. Gray = legacy or partial.

ResourceSpace statuses from their published roadmap as of March 19, 2026. Download snapshot (PDF).

Dan Huby, CTO of ResourceSpace, has stated that ResourceSpace was the first DAM to integrate an LLM. We respect that claim and the work behind it. Our comparison is about where both products stand today.

Honest Take

When ResourceSpace makes sense

• Your budget is literally zero and you need a free, self-hosted DAM today. ResourceSpace is open source and always will be. That matters.
• Your team has PHP expertise and wants to customize the source code directly. The codebase is mature and well-documented for PHP developers.
• You have a small library (under 5,000 assets) with basic metadata needs and no AI requirements. ResourceSpace handles this well.

ResourceSpace is a solid open source DAM for teams with PHP skills and simple needs. If you have outgrown MySQL FULLTEXT search, need AI beyond a single OpenAI plugin, or cannot wait for S3 and local AI to move off the roadmap and into the product, there is a BETTER! option.

Is It Time?

Who should switch

• Teams hitting performance walls with MySQL FULLTEXT search as their library scales past 10,000 assets
• Organizations that need AI beyond a single OpenAI plugin. If you want model choice, local inference, or vision-based video analysis, ResourceSpace cannot deliver that today.
• Anyone who needs S3 storage, multi-provider AI, and sub-50ms search today. These are shipped in BETTER!. In ResourceSpace, S3 is still in scoping and local AI is waiting for approval.