| What it does | Agentic AI governance platform for regulated financial services
| Air traffic control for your coding agents
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| Stage | Established
| Startup
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| Founded | 2021
| Not given
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| Based in | US
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| Pricing model | Contact for pricing
| Open source
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| Pricing | Custom enterprise pricing based on model volume, governance complexity, automation needs, and deployment requirements.
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| Key features | - Real-time agent policy enforcement
- Automated model documentation
- Validation and testing automation
- Model inventory and lifecycle tracking
- Approval workflows and reporting
- Immutable audit trails with reasoning traces
- Multi-deployment support (cloud and on-premise)
| - 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 | - Purpose-built for regulated financial institutions
- Unifies AI and traditional model risk management
- Proven results: 70% time savings and 90% cost reduction
- Audit-ready evidence generation for global regulations
| - 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) | 40 ● no change since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 20 | 0 |
| Citation Flow (Majestic) | 37 | 0 |
| Referring domains (Majestic) | 300 | 0 |