| What it does | Run your agentic fleet at scale
| Standing AI teams that run whole business functions around the clock
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| NZ
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: $0 per month for 1 user. Pro: $19/month for up to 10 members. Enterprise: custom pricing.
| 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
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| Key features | - Run multiple coding agents in parallel on separate git worktrees and branches
- Task board with live terminals for each agent session
- Access Profiles to control permissions for each agent
- Integration with 100+ providers
- Audit logs of all agent actions and refusals
- Self-hostable access layer
- On-demand GPU compute by the second
- Local-first execution keeping source code and output on user's machine
- Support for Claude Code, Codex, and other agentic clients
| - 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
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| What makes it different | - Open-source access layer under Apache-2.0 so you can read the security model
- Enforce access permissions at the system level, not through prompts
- Centralized access control across all agents and platforms simultaneously
- Keep data portable with plain files on your own disk, no vendor lock-in
- Complete audit visibility of what every agent accessed and was denied
| - 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
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 7 ● no change since last check | 1 ● no change since last check |
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| Trust Flow (Majestic) | 6 | 0 |
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| Citation Flow (Majestic) | 39 | 18 |
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| Referring domains (Majestic) | 192 | 5 |
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Lanes
Jugg.ai