AppGraph
Expresses entire web applications as a graph of interconnected agentic nodes, leveraging generative AI to perform complex workloads.
About
AppGraph is a high-level language and framework that allows users to express an entire web application as a graph of interconnected agentic nodes. It leverages generative AI to perform complex, fully agentic workloads without requiring manual code, effectively acting as a 'compiler' that translates natural language prompts into real code and supporting infrastructure. The framework automates critical concerns such as platform, framework, infrastructure, scaling, security, networking, and CI/CD, and the application graph serves as the single source of truth for the system's specification and behavior, enabling robust control over authorization, encryption, scaling, and observability through a configurable plugin interface.
Key Features
- Leverages generative AI to perform complex, agentic workloads without writing code.
- Express web applications as a graph of interconnected agentic nodes.
- Automates platform, framework, infrastructure, scaling, security, networking, and CI/CD concerns.
- Supports end-to-end authorization, encryption, granular scaling policies, observability, and request tracing via plugins.
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- Generates supporting code and infrastructure through large language models from natural language prompts.
Use Cases
- Deploying scalable, secure, and observable applications with automated infrastructure management.
- Implementing agentic workflows and AI-driven services without writing custom code.
- Developing full web applications from natural language specifications.
