The First Multi-AI Consilium

A developer has released Egregor v1.1, a desktop application that orchestrates up to 10 frontier AI models simultaneously into a collaborative intelligence system called The Consilium. The tool ensures data sovereignty by keeping projects local and only sharing fragmented context with AI models, while employing techniques like blind first rounds and rotating devil's advocates to improve accuracy. Egregor claims a 30-45% advantage over single-model systems and offers features such as automated code review, codebase RAG, and a context compression engine at a fraction of the cost of multiple enterprise AI subscriptions.

⎊ EGREGOR v1.1 ⚡ The Truth Big AI Companies Don’t Want You To Know Every single time you type a prompt into ChatGPT, Claude, or Gemini, you are feeding them your life’s work. Your proprietary business models, your unreleased code, your trading strategies, your legal contracts—all of it becomes their permanent property, stored forever to train their next model. Egregor flips the table: 🔒 Your entire project is created locally and stays inside Egregor on YOUR computer. 🔒 AI models receive only small, highly fragmented pieces of context on a strictly need-to-know basis. 🔒 No single AI ever sees the full architectural picture—only YOU do. 🔒 Your data remains sovereign. Your intellectual property stays yours. Forever. ⬢ What Exactly is EGREGOR? Egregor is a powerhouse desktop application that orchestrates up to 10 frontier AI models simultaneously—including Claude 4.7 Opus, Gemini 3 Pro, GPT-4.1, Grok 4, DeepSeek R1, and Qwen3 Coder—into a highly structured collaborative intelligence system called The Consilium. Instead of throwing a question at a single chatbot and hoping for a hallucination-free answer, Egregor deploys a dedicated council of specialized AI experts with defined roles. They attack your problem from every angle, debate each other, expose logical flaws, and synthesize ultimate answers that no individual model could ever produce alone. ⌘ “Not a competition of minds — but a resonance of intellects.” ⍟ Why The 30-45% Multi-AI Advantage is Mathematically Real Every modern AI model suffers from systematic blind spots. Claude is deeply analytical but conservative; GPT-4 is highly creative but prone to hallucination; Gemini boasts a massive context window but stumbles on deep, multi-step logic. Individually, they fail 15-30% of complex tasks. Egregor solves this architectural vulnerability by introducing strict counter-balances: 🎭 Anti-Groupthink Engine Blind First Round : Models generate their initial assessments completely blind to one another, preventing polite corporate AI agreement. ⚔️ Rotating Devil’s Advocate: Every round, a different model is designated to aggressively attack the emerging consensus, finding hidden flaws and edge cases. 🛡️ Red Team Final Round: Before a final verdict is reached, all models launch a coordinated attack on the synthesis—simulating high-stakes intelligence agency protocols. 📊 Confidence Map: Every final output is stamped with a 1-to-5 confidence score generated by the Moderator, so you know exactly how much to trust the final verdict. 💎 Elite Features Built for Serious Work 💻 Automated Code Review & Smart Contract Pipeline Run a strict 5-step verification process where free reasoning engines handle deep architectural logic, Claude Sonnet hunts for security vulnerabilities reentrancy, overflows , and Qwen maps out optimized alternative implementations. A complete, high-level audit that normally costs thousands of dollars is completed locally for $0.30 to $0.50. 📦 Big Project Mode & Codebase RAG Drop a single ZIP archive containing up to 500 code files directly into the platform. Egregor parses your imports, maps out the entire structural dependency graph, and runs specialized vector embedding searches for every single pipeline step. 💰 Context Compression Engine 10-20× Token Savings An internal “keeper” AI actively maintains a highly compressed Project Dossier. Instead of draining your wallet by sending 100k tokens with every single follow-up prompt, Egregor streams a 5k token summary along with the immediate chat history, keeping token costs linear instead of exponential. ⚙️ The Disruptive Economics of Sovereignty Why pay $200+/month for multiple enterprise AI subscriptions when you can pay $3 to $10 a month for superior cognitive results? By routing 80% of foundational tasks through top-tier free open-source models via OpenRouter like DeepSeek R1 and Qwen3 Coder , Egregor minimizes your premium token spend to absolute absolute zero where possible. Task ModeDynamic Consilium SetupEstimated CostQuick Query Single Mode + Free 🆓 Model $0.00 Opinion Comparison 📊 Analysis Mode + 3-4 Models $0.01 - $0.05 Full Analysis 🏛️ Consilium Mode + 5 Models $0.05 - $0.30 Critical Decisions🏛️ Consilium + Anti-Groupthink + Red Team$0.20 - $1.00Codebase Audit 💻 Code Review Pipeline + 📦 Big Project Mode $0.30 - $2.00 🚀 Get Started Immediately Egregor v1.1 is fully built, production-ready, and available for download. It supports Windows, macOS, and Linux out of the box. 📺 Watch Egregor In Action: https://www.youtube.com/watch?v=y8oZdDBQYhc https://www.youtube.com/watch?v=y8oZdDBQYhc 🌐 Sovereign Ecosystem: https://s0vereign.pw/ egregor https://s0vereign.pw/ egregor 📦 Source Code & Desktop Build: https://github.com/VladislavShter/Egregor https://github.com/VladislavShter/Egregor 👤 About the Developer: https://github.com/VladislavShter/VladislavShter https://github.com/VladislavShter/VladislavShter 📜 The Project Manifesto We do not believe your critical data should train someone else’s corporate model. We do not believe one single AI should monopolize your thinking. We believe the next era of artificial intelligence is not about building massive, centralized models—it is about deploying smarter local architecture. Egregor is that architecture. 🌐 BUILDING SOLO, AGAINST THE INEVITABLE