The latest articles on Forem by Uday Ogra (@uday_ogra_d663dc7b3daf9f9). https://forem.com/uday_ogra_d663dc7b3daf9f9 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3276243%2F561d4d72-6002-4fa2-a8c0-d2b6b6e5192d.jpg https://forem.com/uday_ogra_d663dc7b3daf9f9 en Uday Ogra Tue, 05 May 2026 07:45:46 +0000 https://forem.com/uday_ogra_d663dc7b3daf9f9/building-deepagents-in-java-using-langchain4j-2e8n https://forem.com/uday_ogra_d663dc7b3daf9f9/building-deepagents-in-java-using-langchain4j-2e8n <p>Most AI agent frameworks today are Python-first.</p> <p>But many real-world systems — especially in enterprises — are still built on Java.</p> <p>So the question is:<br> 👉 <strong>How do we build agentic AI systems natively in Java?</strong></p> <p>I explored this by building a Java-based implementation of DeepAgents using LangChain4j:</p> <p>🔗 <a href="https://github.com/udayogra/langchain4j-deepagents" rel="noopener noreferrer">https://github.com/udayogra/langchain4j-deepagents</a></p> <h1> 🧠 What are “DeepAgents”? </h1> <p>DeepAgents go beyond simple prompt-response patterns.</p> <p>They are systems that:</p> <ul> <li>Perform <strong>multi-step reasoning</strong> </li> <li>Use <strong>tools / functions</strong> </li> <li>Maintain <strong>structured workflows</strong> </li> <li>Orchestrate decisions across steps</li> </ul> <p>Think:</p> <blockquote> <p>Not just “ask AI once”<br> But “design a system that thinks and acts”</p> </blockquote> <h1> ⚙️ Why Java? </h1> <p>While Python dominates AI tooling, Java still powers:</p> <ul> <li>Enterprise backends</li> <li>Financial systems</li> <li>Large-scale distributed systems</li> </ul> <p>Switching stacks just to use AI is often not practical.</p> <p>👉 That’s where <strong>LangChain4j</strong> comes in — bringing LLM capabilities into the Java ecosystem.</p> <h1> 🚀 What I built </h1> <p>This project is a <strong>DeepAgents-style architecture in Java</strong>, powered by LangChain4j.</p> <h2> 🔧 Core capabilities </h2> <ul> <li>Agent orchestration</li> <li>Tool usage / function calling</li> <li>Structured reasoning workflows</li> <li>Extensible design for real-world use</li> </ul> <h1> 🧩 Architecture (simplified) </h1> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>User Input ↓ Agent ↓ Decision Layer ↓ Tools / Functions ↓ LLM (LangChain4j) ↓ Final Output </code></pre> </div> <h1> 🧪 Example Use Cases </h1> <h2> 🧑‍💻 1. Code Review Systems </h2> <ul> <li>Analyze diffs</li> <li>Apply rules</li> <li>Suggest improvements</li> </ul> <h2> 🤖 2. AI Copilots </h2> <ul> <li>Internal tools</li> <li>Developer assistants</li> </ul> <h2> 🔄 3. Multi-step workflows </h2> <ul> <li>Planning → execution → validation</li> </ul> <h2> 🧠 4. Backend AI orchestration </h2> <ul> <li>Structured, repeatable AI pipelines</li> </ul> <h1> 🧠 Key Insight </h1> <p>Most people use LLMs like this:<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>Input → LLM → Output </code></pre> </div> <p>But real systems need:<br> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>Input → Agent → Tools → Decisions → LLM → Output </code></pre> </div> <p>👉 That’s the shift from <strong>prompting → systems design</strong></p> <h1> ⚡ Challenges I faced </h1> <ul> <li>Designing agent loops in Java</li> <li>Managing context cleanly</li> <li>Structuring tool interactions</li> <li>Keeping prompts maintainable</li> </ul> <h1> 💡 Why this matters </h1> <p>AI is moving from:</p> <ul> <li>“chatbots”</li> </ul> <p>to:</p> <ul> <li><strong>systems that act, decide, and integrate</strong></li> </ul> <p>And Java needs to be part of that evolution.</p> <h1> 🔗 Try it out </h1> <p>👉 GitHub repo:<br> <a href="https://github.com/udayogra/langchain4j-deepagents" rel="noopener noreferrer">https://github.com/udayogra/langchain4j-deepagents</a></p> <h1> 🙌 Feedback welcome </h1> <p>This is still evolving.</p> <p>If you're:</p> <ul> <li>Working with LangChain4j</li> <li>Building AI systems in Java</li> <li>Exploring agent architectures</li> </ul> <p>Would love your feedback, ideas, or contributions.</p> <h1> 🏷️ Tags </h1> <h1> AI #Java #LangChain4j #AgenticAI #LLM #OpenSource </h1> agents ai java showdev