makecindy
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cindy
Cindy is an open-source AI agent that runs locally on your machine, integrates multiple AI harnesses and models, and provides memory, skills, and automation to perform real work in your projects and apps.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It formalizes a systematic, finite-element approach to software composition that reduces token waste, generation drift, and verification complexity, backed by a typed library, agent prompts, and an evaluation harness.
Who it is for
- Developers using LLM-powered coding agents
- AI researchers studying code generation and composition
- Software architects designing reusable component libraries
- Teams building agentic or low-code development platforms
Use cases
- Rapidly assembling a task management board (Task + User + Kanban) via agent composition
- Building a CRM contact management system with object, action, and interface atoms
- Creating a product catalog with AI Search and Recommend capabilities
- Generating an invoice dashboard with Filter, Export, and Chart atoms
Strengths
- Provides a finite, machine-readable ontology of 115 elements covering most business-application features
- Includes typed TypeScript implementations and a system prompt for agents to retrieve and compose atoms
- Offers an evaluation harness to measure token efficiency, composition fidelity, and correctness
- Promotes a composition-over-generation philosophy that reduces drift and improves reliability
Considerations
- Reference implementations exist only for a subset of the 115 elements; some atoms lack TypeScript stubs
- Evaluation harness runs in mock mode by default; real LLM integration requires provider API keys
- Domain-specific concepts (e.g., insurance claims) are intentionally excluded; they require optional domain packs
README quick start
Quick Start
Description
A finite ontology of 115 recurring software elements and a composition framework for LLM-based coding agents
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