Your harness, your memory
📰 LangChain Blog
Learn how agent harnesses are crucial for building agentic systems and why owning your agent's memory is essential for creating good user experiences
Action Steps
- Explore the concept of agent harnesses and their role in building agentic systems using LangChain's resources
- Evaluate the trade-offs of using closed versus open harnesses and their impact on agent memory
- Build a simple agent harness using LangChain's tools, such as LangGraph or Deep Agents, to understand the scaffolding needed for LLM interactions
- Analyze the example of Claude Code's leaked source code to understand the complexity of agent harnesses
- Design an open harness to own your agent's memory and create a better user experience
Who Needs to Know This
Developers and product managers building agentic systems can benefit from understanding the importance of agent harnesses and memory ownership to create sticky user experiences
Key Insight
💡 Owning your agent's memory through open harnesses is crucial for creating good and sticky agentic experiences
Share This
Agent harnesses are key to building agentic systems! Own your agent's memory for better user experiences #LangChain #AgenticSystems
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