MCPFast / Tools / StitchAPI: Native Runtime for AI Agents
StitchAPI is a typed, declarative runtime for AI agents, replacing fetch for better interoperability and simplicity.
View on GitHub→StitchAPI provides a typed, declarative runtime specifically designed for building and managing AI agents. It aims to simplify agent development by offering a more robust and interoperable alternative to traditional HTTP request methods like fetch . By focusing on type safety and declarative definitions, StitchAPI enhances the reliability and maintainability of AI agent architectures.
StitchAPI acts as a foundational layer for AI agents, enabling them to interact with external services and internal components in a structured and predictable manner. It abstracts away the complexities of network communication and data serialization, allowing developers to focus on agent logic. The runtime ensures that agent interactions are type-checked, reducing runtime errors and improving code quality. This declarative approach means you define the desired state or outcome, and StitchAPI handles the execution and management of the necessary steps.
StitchAPI is intended for AI developers and ML engineers who are building sophisticated AI agents. It is particularly beneficial for those working on projects requiring robust agent communication, complex workflows, and a high degree of reliability. If you are developing multi-agent systems, integrating AI agents with external APIs, or seeking to improve the type safety and maintainability of your agent codebase, StitchAPI offers a valuable solution.