Show HN: Adam – An embeddable cross-platform AI agent library (github.com)

A new AI agent library called Adam has been announced, designed to be embeddable across various platforms using C. This comprehensive library integrates multiple functionalities such as tool calling, memory management, voice capabilities, and real-time streaming, all under a simple interface. Adam supports a range of cloud APIs (including Anthropic, OpenAI, and Google Gemini) as well as local models (like llama.cpp), allowing developers to easily interchange between them. It is compatible with macOS, Linux, Windows, iOS, Android, and WebAssembly, reflecting its robust cross-platform design. The significance of Adam for the AI/ML community lies in its modular and extensible architecture, which facilitates the rapid deployment of powerful AI agents integrated with databases, multimodal capabilities, and session persistence. With features like long-term memory through a hybrid search mechanism, structured output, autonomous multi-agent interactions, and even direct integration as an SQL extension for SQLite and PostgreSQL, Adam empowers developers to create sophisticated AI applications with minimal overhead. Additionally, its self-improvement and research modes open new avenues for exploration in AI-driven tasks, making it a notable advancement in the field.