| What it does | Run multiple AI coding agents side by side on your Mac, organized by the job each one does
| The model training platform for AI teams
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| Stage | Not given
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| Founded | Not given
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| Based in | AU
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| Pricing model | Freemium
| Freemium
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| Pricing | Free: $0 for good (every feature with limits). Pro: $9.99/month or $99.99/year. Team: $14.99 per seat per month or $149.99 per seat per year.
| Free: $0/month with $50 in credits once, 1 seat per project, every feature, console, CLI and MCP server, community Discord support. Pro: $120/month with $120 in credits every month, unlimited seats, priority support. Enterprise: Custom pricing, contact for details.
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| Key features | - Run Claude Code, Codex, Grok and OpenCode in separate real terminals
- Organize agents by workspace with instructions and context files
- Browse Kubernetes clusters and manage deployments
- Query Postgres and MongoDB databases in plain English
- Connect agents to Slack channels for automated responses
- Schedule automations with state tracking and logging
- Store settings and automations as plain YAML and markdown files
- Use Assist to automate app tasks with approval control
- Import existing Claude Code, Codex, Grok and OpenCode sessions
| - OpenTelemetry agent tracing and trace import from Langfuse, LangSmith, Braintrust and Galileo
- Generated evals and Agent Optimizer runs that return scored code diffs
- Data Workshop with dataset preparation and quality checks
- Model training with recommended settings for LoRA or full fine-tuning
- Benchmarks against your current model on the same eval set
- Hosted OpenAI-compatible inference and downloadable model weights
- Console, CLI and MCP server access
- OpenAI-compatible API for trained models
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| What makes it different | - Run agents without polluting their context with each other's work
- All code and conversations stay on your Mac, never sent to AI Bridge
- Keep your setup readable and portable with plain YAML files
- No lock-in because configuration is in files you own
- Single interface for agents, Kubernetes, databases, and Slack
| - Own your trained models with downloadable weights and checkpoints
- Zero third-party training with data never leaving your pipeline
- Open source and self-hostable with Docker Compose
- Built by security and defense intelligence pioneers
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ▼ −5 (down) since last check | 44 ● no change since last check |
| Trust Flow (Majestic) | 1 | 10 |
| Citation Flow (Majestic) | 17 | 35 |
| Referring domains (Majestic) | 5 | 201 |