It’s the time of the year when we take a look back at 2025, and compile a brief summary (by numbers) of the Apache Camel project(s). You can find previous year 2024 numbers here. Camel 2025 in Numbers Number of Camel Core / Camel Spring Boot releases in 2025: 25 Number of Camel Quarkus releases in 2025: 18 Number of Camel Karavan releases in 2025: 3 Number of Camel K releases in 2025: 5
The Apache Camel website now generates markdown versions of all documentation pages following the llms.txt specification. This makes our documentation easily accessible to Large Language Models (LLMs) and AI coding assistants. What is llms.txt? The llms.txt specification is a standardized format that helps LLMs discover and consume website content efficiently. Similar to how robots.txt guides web crawlers and sitemap.xml helps search engines, llms.txt provides a structured entry point for AI systems to understand and access documentation.
The biggest challenge for enterprises in the rapidly evolving world of Generative AI isn’t just building “smarter” LLMs or agents — it’s securely connecting that AI to the decades of business logic and data locked away in enterprise systems. How do you let an AI agent interact with your Salesforce data, your Kafka topics, or your internal databases without rewriting everything or creating a massive security hole? It turns out the answer may already be running in your organization.