#c_lang #aarch64 #arduino #arm #embedded #esp32 #esp8266 #interpreter #iot #mips #risc_v #runtime #wasi #wasm #webassembly

https://github.com/wasm3/wasm3

#go #elsa #javascript #runtime #typescript

https://github.com/elsaland/elsa

#typescript #runtime_validation #schema_validation #static_types #type_inference

https://github.com/colinhacks/zod

#go #ahead_of_time #compiler #golang #jit #runtime #vm #wasi #wasm #webassembly

https://github.com/tetratelabs/wazero

#typescript #ajv #checker #fast #generator #hacktoberfest #json #protobuf #protobuf3 #protocol_buffers #random #runtime #schema #stringify #transform #type #validator

https://github.com/samchon/typia

#cplusplus #compiler #cuda #jax #machine_learning #mlir #pytorch #runtime #spirv #tensorflow #vulkan

IREE is a tool that helps run Machine Learning (ML) models on different devices, from big data centers to small mobile and edge devices. It uses a special way to convert ML models into a uniform format, making it easier to deploy them anywhere. This tool is still in the early stages but is being actively improved. Using IREE can help you scale your ML models efficiently across various platforms, making it beneficial for developers who need to deploy models in different environments.

https://github.com/iree-org/iree

#javascript #javascript #js #linux #macos #mit #node #nodejs #runtime #windows

Node.js is a free, open-source environment where you can run JavaScript outside of a web browser. It has different types of releases: Current (new features, updated every 6 months), LTS (Long Term Support, stable and secure, updated every 18 months), and Nightly (daily updates, use with caution). You can download these releases from the Node.js website. The project is managed by a collaborative team with clear guidelines and a Code of Conduct to ensure respectful participation. This makes Node.js reliable and secure for users, with a strong community contributing to its development and maintenance.

https://github.com/nodejs/node

#jupyter_notebook #agent #agentic_ai #agents #authentication #bedrock #core #gateway #identity_management #memory_management #production_code #runtime

Amazon Bedrock AgentCore lets you build, deploy, and run AI agents securely at scale with any framework like CrewAI or LangGraph and any model, without managing complex infrastructure. It offers serverless runtime for long tasks up to 8 hours, gateway to connect tools like Slack or APIs easily, memory for personalized experiences, identity management, built-in code interpreter and browser tools, plus observability. This saves time by skipping heavy setup, speeds prototypes to production, cuts costs with pay-per-use, and boosts security—helping you create powerful agents faster for real business needs.

https://github.com/awslabs/amazon-bedrock-agentcore-samples