This engineering writeup details a self-evolving, 31-agent AI team built on Claude Code, featuring a parallel cognitive layer, dynamic hiring pipeline, and robust verification. It critiques common agent frameworks, highlighting the need for specialization, cross-verification, memory calibration, and self-improvement in multi-agent systems.
GenericAgent is a Python framework for creating self-evolving autonomous AI agents, enabling LLMs to control local computer systems with a minimal set of tools. It automatically learns and crystallizes successful task executions into reusable "Skills".
Tian AI is an open-source, self-evolving general-purpose AI system powered by Qwen2.5-1.5B that can run completely offline on consumer hardware. It combines multiple specialized engines to learn, evolve, and improve its own code over time.
Tian AI is an open-source, self-evolving, general-purpose AI system powered by Qwen2.5-1.5B, designed to run completely offline on consumer hardware. It combines multiple specialized engines to learn, evolve, and improve its own code over time.
This article explores the architecture of Tian AI, a self-evolving, open-source AI system designed to run entirely locally on Android devices. It highlights Tian AI's unique approach, combining a small language model with robust architecture and a local knowledge base to achieve superior performance without cloud dependencies.
Tian AI is a fully offline, self-evolving AI system built on the Qwen2.5-1.5B large language model, designed to run on mobile phones. It functions as a general-purpose autonomous AI framework capable of learning, evolving, and even modifying its own source code.
Tian AI features a self-evolution engine that analyzes and modifies its own Python code based on operational experience. This innovative system aims to achieve the "holy grail" of AI research by enabling AI to continuously improve itself.