Progressive UI from LLM

📝 Markdown and HTML renderer for Svelte 5 — built for streaming AI agent output from Claude Code, ChatGPT, and agentic workflows. XSS-safe defaults, token caching, TypeScript types.

Incremental Markdown parser that emits streams of semantic events, plus tools to manipulate them — designed for real-time rendering of streamed LLM output.

Langchain Ollama Streaming example implemented in the flask

Streaming of LLM responses in realtime using Fastapi and Streamlit.

playgrounds for vercel ai sdk and langgraph, chat/streaming/resume...

Zero-intrusion guard for LLM calls in dev: dedupe, cache, and protect AI requests across Node, browser, and Vite.

A high-performance, streaming-enabled Node.js bridge for the War-Machine local AI model. Optimized for i5-1235U CPU inference using Ollama and Express.

LLM-Talk enables natural voice conversations with language models using hotword activation.

MarkRender is a professional terminal markdown renderer designed specifically for streaming LLM (Large Language Model) responses. It renders markdown content directly in the terminal with rich formatting, syntax highlighting, and a flicker-free experience.

implement llm streaming with page reload support using vercel ai sdk

A comparative engineering study benchmarking Next.js vs. Rails 7 for Clinical AI orchestration. Features edge-optimized RAG chains, streaming performance analysis, and architectural trade-offs in high-stakes CDS environments.

Large Language Model (LLM) library for SWI-Prolog : Claude, ChatGPT, Gemini, Grok and Ollama. Supports streaming, sandboxed code execution and LLM to LLM communication

Type safe React hooks for real time WebSocket communication. Automatic reconnection, optimistic updates, and offline message queuing. Built for streaming LLM clients, real time dashboards, and collaborative apps.