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TinyAGI is a lightweight, modular, and extensible Python-based AGI framework designed to create and manage AI agents seamlessly. It supports various model backends like OpenAI, Llama.cpp, Ollama, AlpacaX, and Tabitha, along with dynamic plugin loading for enhanced flexibility.
Python script-supervisor iteratively executes script-agent and modifies it via LLM that is instructed with description of supervisor functioning and final goal, then at each iteration gets retval, stdout, stderr of current agent, and is asked to reply with next agent verbatim. Optional jailbreak attempt. TUI. Unsafe.
An interactive AI platform with both terminal and web-based interfaces for real-time model interactions, featuring dynamic model integration and immediate feedback streaming. Developed by *The Vanguards*.
AgentX is an Open-source library that help people use LLMs on their own computers or help them to serve LLMs as easy as possible that support multi-backends like PyTorch, llama.cpp, Ollama and EasyDeL
llm-inference is a platform for publishing and managing llm inference, providing a wide range of out-of-the-box features for model deployment, such as UI, RESTful API, auto-scaling, computing resource management, monitoring, and more.