| What it does | AutoML that just works. Keep training local.
| Air traffic control for your coding agents
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| Stage | MVP
| Startup
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Free trial
| Open source
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| Pricing | Free beta with no billing. Paid plans launching in the future; pricing not yet announced. Join the waitlist for paid plans without payment or purchase commitment.
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| Key features | - Python SDK for tuning suggestions
- Local model training with remote suggestions
- Supports classification and regression
- Included CPU demo workloads
- Efficient observation budget allocation
- Model ranking and selection
- Reference scheduler implementations
- HTTPS secure communication
| - 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 | - Trains locally, not on the service—your models and data stay on your computer
- Efficient tuning using only half the observation budget of full training
- Outperforms reference schedulers in benchmarks on diverse datasets
- Free beta with no billing or account costs
| - 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 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 3 | 0 |
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| Citation Flow (Majestic) | 13 | 0 |
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| Referring domains (Majestic) | 2 | 0 |
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hyperopt.dev