Search Results for "masmt runtime engine" - Page 2
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Showing 168 open source projects for "masmt runtime engine"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Python.NET
Package that gives Python programmers integration with .NET Common CLR
...Note that this package does not implement Python as a first-class CLR language - it does not produce managed code (IL) from Python code. Rather, it is an integration of the CPython engine with the .NET or Mono runtime. This approach allows you to use CLR services and continue to use existing Python code and C-API extensions while maintaining native execution speeds for Python code. If you are interested in a pure managed-code implementation of the Python language, you should check out the IronPython project. -
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Colibrì
Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine
Colibri is a compact inference engine designed to run the 744-billion-parameter GLM-5.2 mixture-of-experts model on consumer hardware. It keeps the dense portion of the quantized model in memory while streaming routed experts from a large disk-based store as they are needed. The runtime is implemented in pure C, requires no Python or BLAS during inference, and can operate without a GPU. -
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Arcan
Powerful development framework for creating virtually anything
Arcan is a powerful development framework for creating virtually anything from user interfaces for specialized embedded applications all the way to full-blown standalone desktop environments. At its heart lies a robust and portable multimedia engine, with a well-tested and well-documented Lua scripting interface. The development emphasizes security, debuggability and performance, guided by a principle of least surprise in terms of API design. For the main engine there has been quite some refactoring to reduce input latency; better accommodate variable-refresh rate display; prepare for asymmetric uncooperative multi-GPU and GPU handover; explicit synchronization and runtime transitions back and forth between low (16-bit) to standard (32-bit) to high-definition rendering (10-bit + fp16/fp32). -
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YimMenu
YimMenu, a GTA V menu protecting against a wide ranges
YimMenu is an open-source modification menu for Grand Theft Auto V designed to enhance gameplay while providing protection against common crashes and disruptions encountered in online sessions. It operates as an injected module that interacts directly with the game engine, allowing users to access a wide range of in-game controls and customization options through an overlay interface. One of its primary goals is stability, offering safeguards against malicious or unstable interactions that... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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quickjs-emscripten
Safely execute untrusted Javascript in your Javascript
...It allows seamless interaction between the host environment and the embedded QuickJS runtime, including passing values, objects, and functions across boundaries. This makes it suitable for building plugin systems, sandboxed scripting environments, and AI-related workflows where controlled execution is essential. The system supports multiple environments, including Node.js, browsers, and serverless platforms, ensuring portability across deployment scenarios. -
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Kimi K3 in C
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU
Kimi K3 in C is a portable C99 inference engine built to run the 2.78-trillion-parameter Kimi K3 model on CPUs without BLAS, machine-learning frameworks, or GPUs. It demonstrates inference from a roughly 1.56 TB checkpoint with measured memory use as low as 8.24 GB. The runtime streams model trunk layers and routed experts from disk instead of keeping all weights resident in memory. -
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Conductor
Conductor is an event driven agentic workflow engine for AI agents
Conductor is an open-source, durable workflow orchestration engine designed to manage distributed systems, microservices, and AI-driven applications at internet scale. Originally built at Netflix and actively maintained by Orkes and the open-source community, Conductor simplifies complex workflow management by handling retries, failures, state persistence, and long-running process execution automatically. -
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Claw Code
AI agent harness for AI coding agents
Claw Code is an open-source AI agent harness project focused on building better tools for orchestrating and managing autonomous coding agents. It originated as a clean-room reimplementation inspired by the architecture of Claude Code, aiming to replicate core concepts without using proprietary code. The project provides a Python-based foundation for experimenting with agent workflows, tool integration, and task execution pipelines. It emphasizes harness engineering—how agents are structured,... -
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UnityCsReference is the C# reference source code for the Unity engine and editor. It provides developers transparency into how Unity's C# APIs are implemented under the hood but is strictly for reference—not for modification or redistribution without a commercial license. The terms of use do not permit you to modify or redistribute the C# code (in either source or binary form). If you want to modify Unity's source code (C# and C++), contact Unity sales for a commercial source code license....
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$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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Torch-TensorRT
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
Torch-TensorRT is a compiler for PyTorch/TorchScript, targeting NVIDIA GPUs via NVIDIA’s TensorRT Deep Learning Optimizer and Runtime. Unlike PyTorch’s Just-In-Time (JIT) compiler, Torch-TensorRT is an Ahead-of-Time (AOT) compiler, meaning that before you deploy your TorchScript code, you go through an explicit compile step to convert a standard TorchScript program into a module targeting a TensorRT engine. Torch-TensorRT operates as a PyTorch extension and compiles modules that integrate into the JIT runtime seamlessly. ... -
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C.A.F.E.
The "Third Way" for Home Assistant Automations
CAFE (Complex Automation Flow Editor) for Home Assistant is an innovative automation authoring tool that provides a visual flow editor inside Home Assistant, offering a “third way” between manual YAML and external flow tools by transpiling visual flows directly into native Home Assistant automation YAML. It’s designed to give users the visual clarity of tools like Node-RED without the overhead of a separate execution engine, storing the logic as standard YAML that runs in the core automation... -
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The Tengo Language
A fast script language for Go
Tengo is a small, dynamic, fast, secure script language for Go. Tengo is fast and secure because it's compiled/executed as bytecode on stack-based VM that's written in native Go. Securely Embeddable and Extensible. Compiler/runtime written in native Go (no external deps or cgo). Executable as a standalone language / REPL. Use cases, rules engine, state machine, data pipeline, transpiler. If you need to evaluate a simple expression, you can use Eval function instead. -
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SAG
SQL-Driven RAG Engine
...These vectors allow the system to identify relationships between concepts and construct a graph representation of knowledge at runtime. The architecture also includes a three-stage retrieval pipeline consisting of recall, expansion, and reranking steps to improve search accuracy. The engine integrates semantic vector similarity with traditional full-text search to improve both recall and precision. Because the knowledge graph is generated dynamically, the system can adapt to new information without requiring manual graph maintenance. -
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Tau
Open source distributed Platform as a Service (PaaS)
tau is the core runtime and orchestration engine of the Taubyte platform, an event-driven, distributed computing framework for building and running decentralized applications. tau handles the dynamic deployment of code, services, and data across edge and cloud environments based on real-time events. It abstracts infrastructure and simplifies application delivery by combining GitOps principles with a secure, multi-tenant execution model. tau enables seamless scalability, event-based routing, and on-demand execution without managing underlying servers. -
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Servo
Embed web technologies in applications
Servo is an experimental, highly parallel, and embeddable browser rendering engine written in Rust. It leverages Rust’s memory-safety and concurrency strengths, supports modern GPU-powered rendering (WebGL/WebGPU), and serves as a research-forward alternative to traditional browser engines. Servo is a prototype web browser engine written in the Rust language. It is currently developed on 64-bit macOS, 64-bit Linux, 64-bit Windows, 64-bit OpenHarmony, and Android. Open governance under Linux... -
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Google Cloud's buildpacks
Builders and buildpacks designed to run on Google Cloud's container
...It is built around full compatibility with the Cloud Native Buildpacks specification, which means it can participate in standardized build workflows while still being tailored to Google Cloud environments. The project supports major runtime destinations such as Cloud Run, GKE, Anthos, and Compute Engine with Container-Optimized OS, and it also powers build flows for App Engine and Cloud Functions. One of its strengths is that it does not only provide buildpacks themselves, but also builder images that work with tools such as pack, kpack, Tekton, and Skaffold, giving developers flexibility in how they incorporate it into CI/CD systems. -
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MLC LLM
Universal LLM Deployment Engine with ML Compilation
MLC LLM is a machine learning compiler and deployment framework designed to enable efficient execution of large language models across a wide range of hardware platforms. The project focuses on compiling models into optimized runtimes that can run natively on devices such as GPUs, mobile processors, browsers, and edge hardware. By leveraging machine learning compilation techniques, mlc-llm produces high-performance inference engines that maintain consistent APIs across platforms. The system... -
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SimpleLLM
950 line, minimal, extensible LLM inference engine built from scratch
SimpleLLM is a minimal, extensible large language model inference engine implemented in roughly 950 lines of code, built from scratch to serve both as a learning tool and a research platform for novel inference techniques. It provides the core components of an LLM runtime—such as tokenization, batching, and asynchronous execution—without the abstraction overhead of more complex engines, making it easier for developers and researchers to understand and modify. -
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Anima
Open-source Agent OS for hardware intelligence
Anima is an open-source Agent OS designed to make hardware behave more intelligently. Instead of acting as a basic smart-home control panel, it gives connected devices perception, memory, decision-making, and extensible AI capabilities. The system runs as an intelligent hardware agent runtime inside the local network. It discovers devices, tracks their state, and controls real hardware through adapters. Anima uses an LLM-powered brain to interpret the environment, user intent, memory, and... -
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Chromium
The official GitHub mirror of the Chromium source
Chromium is the open‑source foundational web browser project that drives browsers like Google Chrome, Microsoft Edge, and Opera—built for speed, stability, security, and extendability across platforms. This directory is currently in a prototyping state and may be removed in the future. As we add support for multiple coding IDE/agents, we will likely pull common prompts and instructions into a central directory with stubs for bespoke IDE/agent integration. Please check with your organization... -
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Piston
A high performance general purpose code execution engine
A high-performance API service for running arbitrary code in various programming languages, designed for online compilers and execution environments. -
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Spice.ai OSS
A self-hostable CDN for databases
Spice is a portable runtime offering developers a unified SQL interface to materialize, accelerate, and query data from any database, data warehouse, or data lake. Spice connects, fuses, and delivers data to applications, machine-learning models, and AI backends, functioning as an application-specific, tier-optimized Database CDN. The Spice runtime, written in Rust, is built-with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB.... -
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Matrix
Multi-Agent daTa geneRation Infra and eXperimentation framework
Matrix is a distributed, large-scale engine for multi-agent synthetic data generation and experiments: it provides the infrastructure to run thousands of “agentic” workflows concurrently (e.g. multiple LLMs interacting, reasoning, generating content, data-processing pipelines) by leveraging distributed computing (like Ray + cluster management). The idea is to treat data generation as a “data-to-data” transformation: each input item defines a task, and the runtime orchestrates asynchronous, peer-to-peer agent workflows, avoiding global synchronization bottlenecks. ... -
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Eva.js
Eva.js is a front-end game engine for creating interactive projects
A front-end game engine specifically for creating interactive game projects. Eva.js provides out-of-box game components for developers to use right away. Yes, it's simple and elegant! Eva.js is powered by efficient runtime and rendering pipeline (Pixi.JS) which makes it possible to unleash the full potential of your device. Thanks to the ECS(Entity-Component-System) structure, you can expand your needs by highly customizable APIs. -
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PicoLM
Run a 1-billion parameter LLM on a $10 board with 256MB RAM
PicoLM is an open-source inference framework designed to run large language models on extremely constrained hardware environments such as inexpensive single-board computers and embedded systems. The project focuses on enabling efficient local inference by optimizing memory usage, computation, and system dependencies so that relatively large models can operate on devices with minimal RAM. It is written primarily in C and designed with a minimalist architecture that removes unnecessary...
