Agent Use Cases
Building a Self-Correcting AI Agent with Reflection
How to build a self-correcting AI agent using the reflection pattern and persistent memory. A runnable Python loop that critiques and fixes its own output.
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Agent Use Cases
Agent Memory Architectures: Vector, Graph & Episodic
Compare the three agent memory architectures in 2026 — vector recall, knowledge graphs, and episodic buffers — with real latency numbers, failure modes, and a decision guide.
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Agent Use Cases
How Hermes' Self-Improving Agent Loop Actually Works (2026)
How Hermes Agent self-improving loop works: architecture teardown, memory systems, evaluation cycles, and real-world performance data from production.
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