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Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything. After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands.

An index of Windows binaries, including download links for executables such as exe, dll and sys files