headroom: Headroom compresses everything your AI agent reads — tool outputs, logs, RAG chunks, files, and conversation history — before it reaches the LLM. It achieves the same answers with a fraction of the tokens.; ai-agents-from-scratch: This repository teaches you to build AI agents from first principles using local LLMs and node-llama-cpp, emphasizing a deep understanding of agent fundamentals before using production frameworks. It guides learners through building agent components like tools, memory, and reasoning patterns, culminating in rebuilding core LangChain and LangGraph concepts.
Reduce LLM token usage and API costs for AI agents.
Educational resource for AI agent development fundamentals.