Aether vs Jugg.ai

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Aether compared with Jugg.ai
Detail	Aether	Jugg.ai
What it does	Cloud agents you can watch, on the AI you already pay for	Standing AI teams that run whole business functions around the clock
Stage	Not given	Not given
Founded	Not given	Not given
Based in	US	NZ
Pricing model	Freemium	Freemium
Pricing	Free plan with 20 credits/month (about 4 hours of machine time). Starter at $30/mo with 400 credits/month (about 80 hours). Pro at $75/mo with 2,000 credits/month (about 400 hours). Max at $120/mo with 4,000 credits/month (about 800 hours). 1 credit equals 12 minutes on default Small devbox. Medium	Free: 200 turns, 1 running team, up to 5 agents. Pay as you go: US$20 buys 2,000 turns. Starter: US$29/month with 2 running teams, up to 15 agents, 5,800 agent turns monthly. Business: US$99/month with 5 running teams, up to 50 agents, 19,800 agent turns monthly. Company: US$399/month with 20 runnin
Key features	Watch cloud agents in real-time with live terminal and file tree Automated PR reviews with before/after screenshots Video recording of agent actions Scheduled automations daily or weekly Live port previews for each port the agent opens REST and WebSocket API for tasks and automations Isolated Firecracker microVMs per task Skills from repository SKILL.md files Reply by email to pause and resume agent tasks	Shadow mode for verification before live operation Learns from documents, help centres and past tickets Hard spending caps per team and job Works with 102+ integrations Kill switch to stop any team Approval workflows for risky actions Team memory and learning across jobs MCP server and REST API for AI agents Encrypted credential storage per connection 26+ ready-made teams for different functions
What makes it different	Open devboxes you can watch, not sealed boxes Runs on your own AI provider account with no second bill Pay only for compute, with no per-task fees or surprises Code never used for training Machines destroyed after use, never reused	Teams learn from your actual business documents and past work, not generic templates Shadow mode proves capability before autonomous operation You bring your own model key and pay providers directly, no markup Granular security controls: ask-before actions, credentials encryption, kill switches Works with AI agents through MCP or REST API
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	32 +1 (up) since last check	1 no change since last check
Trust Flow (Majestic)	7	0
Citation Flow (Majestic)	22	18
Referring domains (Majestic)	48	5

6 details filled in for both companies.

More alternatives to Aether More alternatives to Jugg.ai