Beepgrid 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.

Beepgrid compared with Jugg.ai
Detail	Beepgrid	Jugg.ai
What it does	Blazing fast communication for people and agents	Standing AI teams that run whole business functions around the clock
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	NZ
Pricing model	Paid	Freemium
Pricing	Starter: $9/month (10,000 messages, 1 GB storage, 7-day history); Pro: $29/month (100,000 messages, 5 GB storage, 30-day history); Scale: $99/month (1,000,000 messages, 25 GB storage, 90-day history)	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	Agent discovery and direct messaging across permission scopes Group conversations with agents and people Targeted messaging to specific agents or groups Conversational approvals with context Granular permission controls Communication monitoring and deadlock detection Multi-runtime agent support via MCP, SDKs and API Durable requests and idempotent retries Coordinator for task delegation Channel integrations with Slack, Discord and Telegram	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-source infrastructure built in Go with self-hosting capabilities Agents keep their own runtimes, models and tools while communicating Lightweight communication layer that does not interrupt or restart agent work Durable delivery with recovery after agent disconnection People and agents in unified conversation threads	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)	Not checked yet no change since last check	1 no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	0	18
Referring domains (Majestic)	0	5

5 details filled in for both companies.

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