| What it does | Air traffic control for your coding agents
| AI execution infrastructure that turns mission-critical manual tasks into reliable, paid AI services
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| Stage | Startup
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Open source
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| Key features | - 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
| - Job of Work Mapper: identifies valuable processes and maps required outcomes, steps, systems and stakeholders
- Execution Engine: manages multi-week or multi-month workflows with fault tolerance, checkpoints and error recovery
- Built-in stakeholder management: communicates with stakeholders across channels and escalates exceptions
- Intelligence flywheel: captures execution data to benchmark models, improve accuracy and optimise costs
- Small focused AI models in deterministic graph: reduces errors and cost vs single large models
- Fully auditable and explainable execution
- Durable execution engine with checkpoints and automated recovery
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| What makes it different | - 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
| - Handles multi-stakeholder workflows spanning days, weeks or months without requiring core product rebuild
- Partners keep control of brand and customer relationships while using platform for execution
- Usage-based pricing aligns fees with completed outcomes rather than features
- Small focused AI models designed for accuracy and repeatability in high-trust workflows
- Includes mapping stage to validate commercial viability before significant investment
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 12 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 8 |
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| Citation Flow (Majestic) | 0 | 29 |
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| Referring domains (Majestic) | 0 | 64 |
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