Multi Llm Collection

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💻Normal

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“Surface AI blindspots before you ship. Put up to 8 AI models on every research, design or coding task.”

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💻Normal

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“18 AI personas deliberate your hardest decisions across multiple LLM providers. Aristotle, Feynman, Kahneman, Torvalds & more — structured multi-round deliberation with genuine model diversity. One command: /council”

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🔮Psychic

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“AI-powered real estate platform with conversational property search, analytics, and market insights. Built with FastAPI + Next.js + ChromaDB.”

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💎Aqua

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“Web app for teams of 20+ members. In-built connections to major LLMs via API. Share chats, prompts, and agents in team or private folders. Modern, fully responsive stack (Next.js, Node.js). Deploy your own vibe-coded AI apps, agents, or workflows or use ready-made solutions from the library.”

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🔮Psychic

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“Cognithor · Agent OS: Local-first autonomous agent operating system. 19 LLM providers, 18 channels, 145 MCP tools, 6-tier memory, Agent Packs marketplace, zero telemetry. Python 3.12+, Apache 2.0.”

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🔮Psychic

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“一个让 Claude Code 调用 Codex 干活，并可以同时调用多个模型（GPT、Kimi、DeepSeek 等）的 MCP 工具。”

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🔮Psychic

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“MVP of an idea using multiple local LLM models to simulate and play D&D”

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🔥Fire

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“Ask several AI models one question — they answer in parallel, critique each other blind, and you decide. Native macOS, bring-your-own-keys.”

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🔮Psychic

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“Open-Source Library for Fully Cooperative Multi-LLM Reinforcement Learning”