Google-backed Adam AI library lets devs build cross-platform agents
TL;DR
Adam is an embeddable AI agent library that lets devs build cross-platform AI agents with ease.
Adam, an embeddable AI agent library in C, has been released. This powerful tool gives developers a complete agent loop: tool calling, memory, sessions, voice, streaming, and structured output, all wrapped up in one include file. With support for cloud APIs like Anthropic and OpenAI, as well as local models like llama.cpp, Adam can be used to build cross-platform AI agents that run on macOS, Linux, Windows, iOS, Android, and WASM. The library includes features like agent loops, tool calling, memory management, and structured output, making it a game-changer for developers looking to create their own AI-powered applications.
Key Takeaways
- •Build your own cross-platform AI agents with Adam
- •Integrate with cloud APIs like Anthropic and OpenAI
- •Use local models like llama.cpp for enhanced performance
Originally published by sqliteai on GitHub. Summarized by ContentBuffer.
Comments
Be the first to comment
Enjoyed this article?
Get it daily. 7am. Free. Reads in 5 minutes.