Sloth Agent — the open-source AI agent that works while you laze

Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady Submission 🦥

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady

Sloth Agent — an open-source AI automation agent that does your overnight chores so you can keep lazing. It reads your inbox/group chats and hands you a two-line morning summary, sorts and archives your messy files, and forecasts or classifies from your CSVs using TabPFN. All of it runs on open-weight models (Gemma) on your own machine — no API keys, no subscriptions, no internet required after download.

Deployed frontend: (link goes here — render / digitalocean /.tech domain)

Running open-weight models locally means:

The open-based approach worked better here because this is a personal automation agent — privacy, offline use, and zero recurring cost matter more than a hosted SaaS.

Saved with DevRelay and embedded below (Entire prize category: share the agent sessions behind your project).

Before Sloth Agent, you'd wake up, scroll through last night's group chat, dig through a messy downloads folder, and manually open spreadsheets to forecast — maybe 15–20 minutes of drudgery.

After: one overnight call runs while you sleep. Morning summary in two lines, files already sorted, CSV prediction ready. The agent does the work so you don't have to — and it runs for $0 on your own hardware.

Entering every applicable partner category:

Featured: Gemma, TabPFN, Render, DigitalOcean, Tinker, Arduino

Partner: Mastra, Sentry, Temporal, MongoDB Atlas, SerpApi, Browserbase, ElevenLabs, Auth0, Backboard, Entire, GitHub Copilot,.tech Domains, Tiger Data, Ultramarine

Each integration is coded in integrations/integrations.ts or configured (render.yaml, ci.yml) and documented in docs/.