Show HN: The Superiority of Delegation Over Memory in AI Agents

🚀 Exciting News in AI Development! 🚀

After six months of dedicated work, we are thrilled to introduce Seer—our innovative agent engine tailored for enterprise workflows, launching on NYE! 💥 While we’ve faced challenges, our journey has led us to rethink traditional approaches.

Key Insights:

• Many developers, including us, often get caught in the complexities of “memory” layers and graph-based reflection.
• We found these methods can cause context poisoning and increased latency.
• Our solution? A Barbell Strategy:
  • Simplified inter-agent instructions
  • Localized “artifact” contexts that ensure efficiency with ephemeral, specialized sub-agents.

🌟 What’s Your Take?
For those engaging in agent development, have you discovered reliable long-term memory systems, or are you also leaning towards transient agents? Share your experiences with the “boring” plumbing issues that took longer than expected!

🤝 Join the discussion and share your thoughts below!

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