A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
-
Updated
Apr 16, 2026 - HTML
A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
SAGE, a modular AI orchestration protocol, enabling intelligent multi-model workflows with confidence-based validation.
A pwa app for interacting with multiple AI language models simultaneously, allowing users to compare responses, manage chat history, and customize settings.
Continuity for conversations that matter. ChatSeed is your AI Chat Management tool!
A neural-themed AI memory management system that stitches together multiple LLM providers and MCP (Model Context Protocol) into one monstrous creation.
Production-grade FastAPI microservice that forces LLMs to behave. Guardrails, retries, caching, token tracking and multi-model routing (OpenAI, Claude, Gemini, Bedrock). Because raw LLM output in production is basically chaos.
A neural-themed AI memory management system that stitches together multiple LLM providers and MCP (Model Context Protocol) into one monstrous creation.
Add a description, image, and links to the multi-llms topic page so that developers can more easily learn about it.
To associate your repository with the multi-llms topic, visit your repo's landing page and select "manage topics."