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Aparna Pradhan

fullstack dev specia... • 7m

Hey friends, I’ve been building something close to my heart — a *portfolio project* that reimagines how AI can work as your startup team. Introducing *AgentFlow* — a *virtual office of autonomous AI agents* that think, plan, and collaborate like a lean team. ✅ Built with *LangGraph, LangChain, Graphiti (Neo4j), Qdrant RAG* ✅ Agents have memory, tools, and communicate with each other ✅ Designed for solopreneurs, small teams, and AI-native operations This is more than just a showcase — it’s a living system you can learn from or contribute to. *Core features:*- A *Cofounder Agent* that breaks down your vague idea into executable plans - A *Manager Agent* that orchestrates workflows across specialized agents - Real-time *multi-agent collaboration*, memory, and shared context - RAG-powered research, personalized content generation, and tool use (Slack, Mail, Docs…)

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Dan Sukhov

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Kimiko

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Aliasgar Mullamitha

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Rahul Agarwal

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Allison william

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Comet

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If you're building AI agents, you should get familiar with these 3 common agent/workflow patterns. Let's break it down. 🔹 Reflection You give the agent an input. The agent then "reflects" on its output, and based on feedback, improves and refines.

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Mitsu

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