Adala

Adala is an open-source framework for building autonomous agents focused on reliability through learning. Unlike one-shot agent systems, Adala agents improve by processing feedback from their actions and failures. The framework emphasizes building agents that get better over time rather than trying to be perfect from the start. The architecture separates reasoning, action execution, and learning into modular components. Agents can use various LLMs as reasoning engines while maintaining consistent learning mechanisms. The memory system stores past experiences and retrieves relevant context for new tasks. Built-in evaluation tools help measure agent performance objectively. Being a framework rather than a platform means you need development resources to build agents. It's not a no-code solution. The documentation is improving but still assumes technical background. Best for teams building custom agents who value reliability and continuous improvement over flashy demos.