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Adam: An Embeddable Cross-Platform AI Agent Library

Adam is an embeddable AI agent library written in C that supports cloud and local LLMs, tool calling, long-term memory, voice, sessions, research mode, and self-evolving loops. Designed as the 'SQLite of agent frameworks', it is small, portable, and just works.

SourceHacker News AIAuthor: marcobambini
Adam: An Embeddable Cross-Platform AI Agent Library
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Key points and analysis

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Key points

  • Written in C, supports macOS, Linux, Windows, iOS, Android, and WASM
  • Integrates multiple cloud APIs (Anthropic, OpenAI, Google Gemini, etc.) and local models via llama.cpp
  • Provides tool calling, long-term memory, voice, streaming, and structured output
  • Can be embedded as SQLite and PostgreSQL extensions for natural language queries

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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