| What it does | AI data platform that turns field operations data into actionable tasks
| Air traffic control for your coding agents
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| Stage | Established
| Startup
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| Founded | 2014
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| Based in | US
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| Pricing model | Not given
| Open source
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| Pricing | Not given
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| Key features | - AI event detection from cameras and sensors
- Operational context checking against schedules, rules, and locations
- Automated task creation and routing
- Task ownership tracking and completion confirmation
- Unified data layer across multiple sources
- Operational reporting and summarization
| - Task queuing with dibs run wrapping commands
- Real-time job status board for all agents
- Memory and disk resource monitoring
- Agent-to-agent messaging with dibs tell and dibs say
- Human approval workflow for irreversible actions
- Browser access via end-to-end encrypted relay at app.dibs.cc
- MCP client support for Claude with read-only or action modes
- Multi-machine job distribution with --anywhere flag
- Job scheduling at specific times with dibs later
- API rate limit sharing with quota buckets
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| What makes it different | - Connects field events to operational context for intelligent responses, not just alerts
- Automates repetitive manual field work across detection, checking, routing, and follow-up
- Production-ready foundation enables partners to focus on domain expertise
- Proven deployment across multiple industries and countries
| - Prevents agent collisions with deterministic turn-taking on shared resources
- Automatically manages machine memory and disk to keep builds running
- Agents communicate peer-to-peer while humans only handle critical decisions
- Fully open source with no per-seat or subscription fees
- Works across multiple machines with a single encrypted board
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 32 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 9 | 0 |
| Citation Flow (Majestic) | 34 | 0 |
| Referring domains (Majestic) | 141 | 0 |