#sse

A composable framework for building reliable LLM agents on a harness you fully control. The same code runs the agentic loop on every model tier, local 4B to frontier with tool-call healing, verification, and durable crash-resume, on a typed 12-phase engine where every step emits an event you can hook into. Effect-TS, MCP-native, MIT

An MCP client library for building conversational AI applications with dynamic tool discovery for context-efficient agents.

Mock API requests in Storybook with Mock Service Worker.

A bridge between Streamable HTTP and stdio MCP transports

High performance image scale in pure Rust

OpenAPI generator for Rust: typed models, async Reqwest/SSE clients, and Axum server scaffolding for OpenAPI 3.0/3.1.