| What it does | From Requirements to Code. Verified.
| Run coding agents and AI models on your own computer, accessible from any screen
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | CY
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Startup: Free for up to 3 users and 3 projects. Cloud Starter: $9 per user/month with unlimited users and projects. Cloud Pro: $19 per user/month with unlimited users, projects, 1,000 included AI credits per licensed user per month, and priority support. Self-hosted: Starting at $3,000 per instance/
| Free: no subscription for local and LAN work, 30 minutes per month of remote viewing. Lyre Pro: $15 per month billed monthly, includes no time limit on remote viewing and 50 GB of application relay traffic per account per month. Lyre AI: $100 per month billed monthly, includes no time limit on remot
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| Key features | - Specification Management: Manage connected requirements, data entities, APIs, interfaces, wireframes, and test cases in a versioned product model with traceable relations and branch-aware revisions
- Change Management: Define each product change through a Change Request that connects goal, affected specifications, project branch, implementation impact, and linked issue
- Architecture & Software Units Blueprints: Define subsystem architecture and software unit blueprints with implementation rules, responsibilities, dependencies, and file boundaries linked to product sp
- AI Assistants: AI Analyst, AI Test Designer, AI Architect, and AI Product Expert for refining specifications, designing tests, developing architecture, and reviewing implementation
- MCP for AI Coding Agents: Give coding agents branch-aware specifications, architecture guidance, software units, file traces, and Change Request context through MCP
- Specification and Code Alignment Verification: Check that code matches specifications and follows architecture rules as the system evolves
- Test Management: Organize test cases, test runs, execution, and result history
- MCP for QA Agents: Give QA agents prepared test runs, cases, steps, and expected outcomes through MCP to record execution results
| - Run coding agents and AI models locally on your computer
- Access from phone, desktop, and browser simultaneously
- Support for React, Vite, Next.js, Expo-web, and Capacitor projects
- Live app preview and file diff alongside chat
- Direct LAN connections without server relay
- End-to-end encrypted relay for remote access
- App-only sharing that hides source code and agents
- Support for local models via Ollama and llama.cpp
- Automatic AI provider fallback across multiple accounts
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| What makes it different | - Preserves product context across tasks, agents, and code changes through a structured, verified product model
- Reduces handoffs and coordination by delegating whole features with connected specifications and implementation scope
- Prevents architecture drift by connecting implementation with subsystem architecture rules, unit guidelines, and component responsibilities
- Built for complex products where a single feature touches connected data, APIs, interfaces, and business rules across multiple repositories and systems
- Keeps product model current as specifications and implementation change using AI assistance and team review
| - Keeps your projects on your computer without uploading to servers for local and LAN work
- Works across desktop, mobile, and browser with the same workspace
- Free unlimited local and LAN viewing without subscriptions
- No vendor lock-in with support for any AI provider or local model
- Built by a single developer actively shipping features in public
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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) | 28 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
| Trust Flow (Majestic) | 18 | 0 |
| Citation Flow (Majestic) | 34 | 19 |
| Referring domains (Majestic) | 68 | 2 |