Give Your Java Agents a Memory - Session Management with Solon AI

<p><em>Version 0.14.2 added a <code>MongoDBSession</code> backend; here's a working multi-agent customer-support demo that uses it, and the documents it leaves behind.</em></p>

<blockquote> <p><em>This is Part 4 of my series on the Microsoft Agent Framework. You can read the original post over on <a

<p>Most agent frameworks treat memory as an afterthought. They give your agent tools, prompts, and orchestration patterns — but when you restart the conversation, everything

<blockquote> <p>Drawing from practical experience with memo-agent (simplified Hermes version), exploring how to give terminal AI assistants "long-term memory" and "extended

<p>Two AI agents need to collaborate. One researches, the other writes. How do they share what they know?</p> <p>This is not a theoretical question. Multi-agent systems are the

<p>Everyone's building agents. Most are building them wrong. Not because they lack skill, but because they lack the right mental models. Before you write a line of code, you need

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<p>`---<br /> title: "Why I Built a Brain for My AI Agents — and What It Taught Me About Memory"<br /> published: true<br /> description: "Anamnesis v0.3.0: The cognitive