#LowResourceAI

[bharatpatel1061]

Memory-Efficient Agents: Operating Under Token and Resource Limits

Many AI agents rely on large context windows to function well—but real-world systems often require agents to operate under constraints.

Techniques include:

Token-efficient summarization

Selective memory recall

External memory systems (e.g., vector DBs)

Low-resource environments like edge devices or chat-based platforms require these optimizations. See how token-smart AI agents stay performant.

Use task-specific memory compression—summarize past interactions differently depending on the current goal.