A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
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Updated
Apr 22, 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.
Continuity for conversations that matter. ChatSeed is your AI Chat Management tool!
A pwa app for interacting with multiple AI language models simultaneously, allowing users to compare responses, manage chat history, and customize settings.
A neural-themed AI memory management system that stitches together multiple LLM providers and MCP (Model Context Protocol) into one monstrous creation.
AI skill that forces expert-level thinking on any task. Activates structured reasoning, domain expertise, honest self-audit, and multi-model swarm collaboration. Works on Claude, ChatGPT, Grok, Gemini, and any AI platform. Transforms generic AI responses into genuinely expert output — any domain.
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.
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