Most AI agents reset every session. This one is built to learn from its own past performance.
Codegraff runs AI agents like a full operating system, not just a chatbot. Built in Zig for speed, it handles the heavy lifting of memory management, tool execution, and sub-agent orchestration so your AI can actually do work, not just talk about it. The standout feature is its evolution loop, which allows the system to learn from past performance and improve its own coding strategies over time. This turns a static model into a persistent, self-improving worker that can manage complex tasks, debug errors, and verify results. It is a serious look at how AI infrastructure needs to evolve to support real autonomy.
Open source: justrach/codegraff
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Transcription
CodeGraph runs AI agents like a full operating system, not just a chatbot. Built in ZIG for speed, it handles the heavy lifting of memory management, tool execution, and sub-agent orchestration so your AI can actually do work, not just talk about it. The standout feature is its evolution loop, which allows the system to learn from past performance and improve its own coding strategies over time. This turns a static model into a persistent, self-improving worker that can manage complex tasks, debug errors, and verify results. It is a serious look at how AI infrastructure needs to evolve to support real autonomy.
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