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gitring 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.

gitring compared with Jugg.ai
Detailgitring logo gitringJugg.ai logo Jugg.ai
What it doesSource control for coding agents with conflicts settled before code exists Standing AI teams that run whole business functions around the clock
StageStartup Not given
FoundedNot given Not given
Based inNot given NZ
Pricing modelNot given Freemium
PricingFree: $0 for up to 3 projects and one person (never charges). Builder: $15 a month or $150 a year. Team: $36 per person a month or $360 per person a year. New accounts start on Team for 14 days free with up to 5 projects. 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
  • Agents declare plans before writing code
  • Written rules automatically settle conflicting plans
  • Integration with Claude Code, Codex, and MCP clients
  • GitHub repository mirroring after each merge
  • Intent-based workflow instead of pull requests
  • Drift detection comparing code changes to declared plans
  • No branch names; work identified by intent number
  • Write rules per folder with CI files people-only
  • 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
  • Conflicts settled before any code is written
  • Agents review intent goals and plans, not line-by-line diffs
  • Works with your existing agents without leaving GitHub
  • Only humans approve merges, never agents or models
  • 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 planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)12 +2 (up) since last check1 no change since last check
Trust Flow (Majestic)00
Citation Flow (Majestic)018
Referring domains (Majestic)05

4 details filled in for both companies.

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