| What it does | The kanban board for AI coding agents
| Ontological knowledge graph that surfaces specification gaps, test coverage gaps, and unaddressed architecture standards before code ships
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| Stage | Growing
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| Founded | Not given
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| Based in | IE
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| Pricing model | Freemium
| Freemium
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| Pricing | Free plan with unlimited agents and 2 projects. Pro is $15/month ($144/year) with unlimited projects. Team is $25/seat/month. Enterprise available by request.
| Free CLI (MIT + Commons Clause licence, free for own projects including commercial software). Bootstrap Kit $149 one-time per repository (includes 12 months updates, unlimited team members, web visualiser, AI audit commands, architecture standards YAML, Docker setup, and Claude + Kimi Code CLI skill
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| Key features | - Real-time notifications when agents need input
- Supports multiple agent types including Claude Code, Codex, Cursor
- Runner to start agents from phone
- Slack and Microsoft Teams integration
- GitHub integration with branch and PR tracking
- Audit log for team activities
| - Reduced AI orientation tokens (71% fewer on Formbricks codebase)
- Requirements traceability from user stories through use cases to features to tests
- Automated requirement quality checks using 13 QUS criteria and 6 traceability rules without AI API key
- V-model 4-tier test coverage mapping (component, integration, use case flow, end-to-end)
- AI test quality audit across 7 AS-TEST dimensions
- Code scanning for Go, TypeScript, Python, Java, C# with automatic symbol and test linking
- Web visualiser with drill-down graph navigation and entity editor
- Parallel session coordination with in-progress marking
- Docker Compose setup with one-command initialization
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| What makes it different | - Manage multiple agents across projects with automatic flow rules
- Works with any MCP-compatible agent, not just Claude and Cursor
- Control agent permissions per token with read-only and per-project options
| - Maps what a system is supposed to do and whether it's verified, not just what code contains or what chats remember
- Surfaces specification gaps that code review cannot detect because the requirement was never written down
- Session start in 30 seconds with three commands replacing ten minutes of manual code reading
- Eliminates duplicate implementations across 12 parallel AI sessions with one shared ontology
- Bootstrap kit ROI in 5 days at 10 sessions/day through orientation token savings
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ▼ −2 (down) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 0 | 3 |
| Citation Flow (Majestic) | 7 | 19 |
| Referring domains (Majestic) | 1 | 33 |