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.
Animated side-by-side demo of WebSocket vs Server-Sent Events. Same server, same LLM stream, every frame visualized in real time — with a kill/reconnect button to show how each transport recovers.
playgrounds for vercel ai sdk and langgraph, chat/streaming/resume...
Custom Local AI Role-Play Framework
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.
Zero-intrusion guard for LLM calls in dev: dedupe, cache, and protect AI requests across Node, browser, and Vite.
Large Language Model (LLM) library for SWI-Prolog : Claude, ChatGPT, Gemini, Grok and Ollama. Supports streaming, sandboxed code execution and LLM to LLM communication
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.
A FastAPI service that streams LLM responses token-by-token via Server-Sent Events, powered by a local Ollama model — built without LangChain to understand HTTP streaming at the protocol level.
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.
Go reference app for real-time LLM event streaming over SSE, backed by one Redis Stream with history replay and Last-Event-ID recovery.
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.
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