🚀 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!