Ross ROSS = Recommend OSS · open-source software intelligence for agents

modem-works/dream-recorder

Dream Recorder is an open-source venture by Modem. Developed in close collaboration with Mark Hinch (software & hardware), Ben Levinas and Joe Tsao (industrial design), and Alexis Jamet (illustrations). observed · 2026-08-28

github.com/modem-works/dream-recorder · homepage · G-code · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

41/100

  • Activity 47
  • Release rhythm 35
  • Longevity 38

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 534
  • days_rel: n/a
  • days_push: 323
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1607 stars · 129 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Dream Recorder is an open-source DIY bedside device built on a Raspberry Pi 5 that records users speaking their dreams aloud and turns them into ultra-low-definition cinematic dream reels. It combines speech recognition, LLM-based prompt generation, and LumaLabs video generation, with a 3D-printable glow-in-the-dark shell and full hardware documentation.

Use cases

  • record and visualize my dreams as short videos
  • build a DIY AI bedside device with a Raspberry Pi
  • turn spoken dream descriptions into cinematic reels
  • phone-free dream journaling device
  • experiment with speech-to-video generative AI pipelines

When to choose

  • you want a hands-on DIY hardware project with full assembly guides and BOM
  • you want an offline, app-free bedside dream journaling experience
  • you want to tinker with a complete speech-to-video AI pipeline on a Raspberry Pi

When to avoid

  • you need a polished consumer product rather than a self-built device
  • you don't want to pay per-dream API costs for OpenAI and LumaLabs
  • you need high-definition video output rather than deliberately low-fi reels

Facets

application · maturity active

speech-recognition llm-inference video-processing tts machine-learning artificial-intelligence large-language-models hardware media developer-tools python iot self-hosted raspberry-pi diy-hardware dream-journal generative-ai 3d-printable bedside-device openai-api luma-labs linux

2 sources

Member repositories

RepositoryRoleHealth v2
modem-works/dream-recordermain41

For agents

markdown · JSON · MCP: product_card(name="modem-works/dream-recorder")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem