LangChain Blog
Your harness, your memory
•1 min read•
#agenticworkflows#rag#langchain#compute
Level:Intermediate
For:AI Engineers, ML Engineers, Agent Developers
✦TL;DR
The concept of agent harnesses is gaining prominence in building agents, and their design is closely linked to agent memory, highlighting the importance of control and flexibility in harness implementation. The choice of harness, particularly closed or proprietary ones, can significantly impact the autonomy and customization of agent development, making it crucial for developers to consider the implications of their harness selection.
⚡ Key Takeaways
- Agent harnesses are becoming a standard approach to building agents and are closely tied to agent memory.
- The use of closed or proprietary harnesses can limit control over agent development and customization.
- The choice of harness significantly impacts the autonomy and flexibility of agent development.
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