But what works best for tool-using agents?
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Stateless: Perfect for one-and-done tasks like searches or notifications
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Stateful: Better for conversations and personalized experiences
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Hybrid approach: A practical solution we’ve implemented successfully
Memory Management Made Simple
Memory management doesn’t have to be complex. We have seen that our RAG implementation improved relevance significantly.
Our three-tiered memory system:
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Episodic for past interactions
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Working in the current context
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Semantic for knowledge
delivered solid results while remaining maintainable.
Quick Tip for Your Team
Start with a basic key-value memory store before investing in vector databases. This approach improved our performance by about 40%.
Async Workflows Transform Productivity
Our practical findings show:
→ Task breakdown helps keep agents focused and reduces errors
→ Parallel processing significantly reduces response times
→ Specialized routing directs tasks to the most appropriate agent
What’s your approach? Are you building with memory or starting fresh each time?
Share your thoughts in the comments…
