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Multi-agent execution, simplified. One request to run multiple models, with outputs automatically compared by an AI council.

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BLACKBOX AI

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16,844 görüntüleme • 4 ay önce •via X (Twitter)

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The AI Super Bowl… ChatGPT vs Claude 🏈 Run your prompt across multiple models at once with /multi-agent then an AI judge picks the best answer so you don't have to. Need to quickly switch between models? Use /agent to switch to a different model in seconds but retain your context.
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The AI Super Bowl… ChatGPT vs Claude 🏈 Run your prompt across multiple models at once with /multi-agent then an AI judge picks the best answer so you don't have to. Need to quickly switch between models? Use /agent to switch to a different model in seconds but retain your context.

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3.5 Soon: Up to 8+ Layers, 16 LLMs in Parallel🪄 A fully parallel, multi-layered system with 8+ orchestration layers handling everything from prompt parsing and tool execution to code generation and live editing—all powered by 16+ LLMs running in sync for real-time, adaptive creation. ➡️v1: Single agent, single output ↕️v2: Multiple agents, single output 🔃v3: Single agent, multiple outputs 🔀v3.5: Multiple agents, multiple outputs — scalable, context-aware, and built for real-time builds🔨
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3.5 Soon: Up to 8+ Layers, 16 LLMs in Parallel🪄 A fully parallel, multi-layered system with 8+ orchestration layers handling everything from prompt parsing and tool execution to code generation and live editing—all powered by 16+ LLMs running in sync for real-time, adaptive creation. ➡️v1: Single agent, single output ↕️v2: Multiple agents, single output 🔃v3: Single agent, multiple outputs 🔀v3.5: Multiple agents, multiple outputs — scalable, context-aware, and built for real-time builds🔨

ALCHEMIST AI 🔮

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Stop spending hours on manual work. You can now use a multi-agent AI workforce to get more work done in less time. Here's how 👇 --- Try Eigent AI - Lets you build and run a custom AI workforce on your desktop. - Automate complex workflows using multi-agent task execution. - Built on CAMEL-AI’s top open-source projects ( CAMEL-AI.org & OWL). - Boost productivity with deep customization and strong privacy --- Features: - Customize Your AI Workforce: Build task-specific agents with domain skills and tools. - Faster Execution: Eigent runs agents in parallel to automate complex workflows. - Human-in-the-loop: Automatically asks for help when tasks hit uncertainty. --- What sets Eigent apart? - 3–5× faster task execution using a parallel multi-agent workforce. - Modular design lets you add new capabilities without changing the core system. - Self-optimizing agents that replan and adapt during execution for higher success. - Deploy anywhere: cloud, local, or enterprise, with full open-source flexibility. --- Try building your multi-agent AI workforce here: Join their community to build your multi-agent workforce: Check their GitHub: ---

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/1 Today, we’re proud to announce that Omo has raised a $1.1m Pre-Seed to build AlphaGo for DeFi. We started building multi-agent execution infrastructure. Then we realized: the best AI products are inherently multi-agent. That’s when it clicked, DeFi need its AlphaGo.

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INFINIT partners with EigenCloud to bring verifiable execution to the AI Agent Infrastructure. Agent decision coordinating sophisticated DeFi strategies across 32+ protocols now backed by cryptographic guarantees. Here's what this means for agentic finance 🧵
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Introducing AI CLI Generate images, video, and text from your terminal. Pipe them together. Works with any agent. ai image "sunset" | ai video "animate" → Hundreds of models → Multi-model comparison → Inline previews, no native deps → AI SDK + AI Gateway

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Introducing Welcome to - the first multi-chain trading AI agent on Solana, Hyperliquid, Base Build.
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Introducing Welcome to - the first multi-chain trading AI agent on Solana, Hyperliquid, Base Build.

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Next week we're open sourcing Agent Builder - a visual n8n-style workflow builder for AI agents. Build AI agent workflows with a visual canvas by connecting , LLMs, logic nodes, and MCPs, then deploy as an API. Stay tuned for this one 👀

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