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Shruti Agarwal

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reacted to shekkizh's post with 🤯 3 days ago
🙋🏽‍♂️ Is your "multi agent" system really multi agentic? Or is it just a modular setup with a bunch of different prompts? 🤨 I’ve had this discussion way too often, so I finally wrote it all down. If you’re building with agents, you need to read this. Here’s the TLDR: ✅ True multi agent systems require: • Persistent, private state per agent • Memory that impacts future decisions • Adaptation based on past experiences ❌ Just having modular components, function calls, or multiple LLMs doesn't cut it. That’s not multi agentic. It’s just pipelining. 🤝 The magic is in evolving relationships, context retention, and behavioral shifts over time. 🧠 If your agents aren’t learning from each other or changing based on past experience… you are missing the point. What do you think? Curious what patterns you're experimenting with 🧐 👉 Full post: https://shekkizh.github.io/posts/2025/04/multi-agents/
reacted to shekkizh's post with 👀 3 days ago
🙋🏽‍♂️ Is your "multi agent" system really multi agentic? Or is it just a modular setup with a bunch of different prompts? 🤨 I’ve had this discussion way too often, so I finally wrote it all down. If you’re building with agents, you need to read this. Here’s the TLDR: ✅ True multi agent systems require: • Persistent, private state per agent • Memory that impacts future decisions • Adaptation based on past experiences ❌ Just having modular components, function calls, or multiple LLMs doesn't cut it. That’s not multi agentic. It’s just pipelining. 🤝 The magic is in evolving relationships, context retention, and behavioral shifts over time. 🧠 If your agents aren’t learning from each other or changing based on past experience… you are missing the point. What do you think? Curious what patterns you're experimenting with 🧐 👉 Full post: https://shekkizh.github.io/posts/2025/04/multi-agents/
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