Search Results for "task" - Page 14
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Showing 2026 open source projects for "task"
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Adafruit Unified Sensor Driver
Common sensor library
...One of the many challenges of embedded systems design is the fact that parts you used today may be out of production tomorrow, or system requirements may change and you may need to choose a different sensor down the road. Creating new drivers is a relatively easy task, but integrating them into existing systems is both error-prone and time-consuming since sensors rarely use the exact same units of measurement. By reducing all data to a single sensors_event_t 'type' and settling on specific, standardized SI units for each sensor family the same sensor types return values that are comparable with any other similar sensor. ... -
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Mistral Vibe CLI
Minimal CLI coding agent by Mistral
Mistral Vibe is an AI-powered “vibe-coding” command-line interface (CLI) and coding-assistant framework built by Mistral AI to let developers write, refactor, search, and manage code through natural language and context-aware automation, rather than manual typing only. It aims to take developers out of repetitive boilerplate and let them stay “in the flow”: you can ask the tool to generate functions, refactor code, search across the codebase, manipulate files, commit changes via Git, or run... -
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OpenAI Agents SDK
A lightweight, powerful framework for multi-agent workflows
...This framework enables developers to create and manage agents that can coordinate tasks autonomously, using a set of instructions, tools, guardrails, and handoffs. The SDK allows users to configure workflows in which agents can pass control to other agents as necessary, ensuring dynamic task management. It also includes a built-in tracing system for tracking, debugging, and optimizing agent activities. -
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Gradle License Plugin
Gradle plugin that provides a task to generate a HTML license report
The Gradle License Plugin helps developers manage and audit software licenses for dependencies in Android and Java projects. It automatically detects third-party libraries and generates a report containing license details. This is particularly useful for ensuring compliance with open-source licenses, making it easier for teams to identify potential legal issues or attribution requirements before releasing software. -
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OpenTag
Open-source @agent mentions for Slack and GitHub
...Each request becomes a bounded context packet whose permissions and executor capabilities are checked before work begins. Codex, Claude Code, or another compatible agent performs the task and returns concise results to the original thread. Action receipts show proposed changes and expose an Apply option only when an approved adapter can safely perform them. A local work ledger records the source event, admission decision, context, capabilities, artifacts, callbacks, and final outcome. The CLI supports guided setup, diagnostics, terminal operation, and background services on macOS and Linux. -
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GenericAgent
Self-evolving autonomous agent framework
...It is designed around modularity, allowing developers to define agents with interchangeable components such as tools, memory systems, and reasoning strategies. The architecture emphasizes generality, enabling the same agent framework to be adapted for different domains including coding, research, and task automation. It integrates with modern language models to provide planning, execution, and iterative reasoning capabilities, making it suitable for complex workflows. The project also focuses on extensibility, allowing developers to plug in custom tools or APIs and tailor agent behavior to specific use cases. By abstracting common agent patterns, it reduces the overhead of building agent systems from scratch. ... -
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CoStrict
Strict AI coder for enterprises, quality first
...Unlike typical AI coding tools that prioritize speed over rigor, CoStrict introduces a “strict mode” methodology that enforces disciplined processes such as requirements analysis, architecture planning, task decomposition, and test generation before producing code. This makes it particularly suitable for organizations that require consistency, auditability, and reliability in AI-assisted development. The system integrates repository-wide analysis using retrieval-augmented generation, allowing it to understand large codebases and provide context-aware suggestions, reviews, and modifications. ... -
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Loki Mode
Multi-agent autonomous startup system for Claude Code
...By supporting multiple AI providers (like Claude Code, OpenAI Codex CLI, and Google Gemini CLI), loki-mode dynamically selects and spawns only the needed agents for a given project, optimizing computational resources and task throughput. Its Reason-Act-Reflect-Verify (RARV) cycle with self-verification loops emphasizes quality and resilience, automating end-to-end development lifecycles. -
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gt R
Easily generate information-rich, publication-quality tables from R
...These include the table header, the stub, the column labels and spanner column labels, the table body, and the table footer. It all begins with table data (be it a tibble or a data frame). You then decide how to compose your gt table with the elements and formatting you need for the task at hand. Finally, the table is rendered by printing it at the console, including it in an R Markdown document, or exporting it to a file using gtsave(). Currently, gt supports the HTML, LaTeX, and RTF output formats. -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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Cache
Nothing but Cache
...Cache utilizes Codable in Swift 4 to perform serialization. The cache is built based on a Chain-of-responsibility pattern, in which there are many processing objects, each knows how to do 1 task and delegates to the next one, so can you compose Storage the way you like. All Storage now are generic by default, so you can get a type of safety experience. Once you create a Storage, it has a type constraint that you don't need to specify a type for each operation afterward. -
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PaddleX
PaddlePaddle End-to-End Development Toolkit
...It has three characteristics opening up the whole process, integrating industrial practice, and being easy to use and integrate. Image classification and labeling is the most basic and simplest labeling task. Users only need to put pictures belonging to the same category in the same folder. When the model is trained, we need to divide the training set, the validation set and the test set. Therefore, we need to divide the above data. Using the paddlex command, the data set can be randomly divided into 70% training set, 20% validation set and 10% test set. ... -
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Tunix
A JAX-native LLM Post-Training Library
...Tunix also leans into research ergonomics: logging, checkpointing, and metrics are built in, and the code is written to be hackable rather than monolithic. Overall it aims to shorten the path from an off-the-shelf base model to a well-aligned, task-ready model using scalable JAX primitives. -
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DINOv2
PyTorch code and models for the DINOv2 self-supervised learning
DINOv2 is a self-supervised vision learning framework that produces strong, general-purpose image representations without using human labels. It builds on the DINO idea of student–teacher distillation and adapts it to modern Vision Transformer backbones with a carefully tuned recipe for data augmentation, optimization, and multi-crop training. The core promise is that a single pretrained backbone can transfer well to many downstream tasks—from linear probing on classification to retrieval,... -
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xxh
Bring your favorite shell wherever you go through the ssh
You stuffed the command shell with aliases, tools and colors but you lose it all when using ssh. The mission of xxh is to bring your favorite shell wherever you go through ssh without root access and system installations. Preparing portable shells and plugins occurs locally and then xxh uploads the result to the host. No installations or root access on the host is required. Security and host environment are a prime focus. No blindfold copying config files from local to the remote host.... -
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HRM-Text
1B text generation model based on the HRM architecture
...It is designed to make foundation model pretraining more accessible by reducing compute and data requirements compared with traditional scaling-heavy approaches. The system combines hierarchical recurrent design, task-completion strengthening, and latent-space reasoning. Its training stack includes PrefixLM sequence packing, FlashAttention 3 kernels, PyTorch FSDP2, evaluation scripts, and checkpoint conversion tools. The repository supports reference pretraining runs for smaller and larger configurations, with Hopper-class GPUs expected for the attention path. ... -
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Phantom
An AI co-worker with its own computer
Phantom is an experimental AI agent framework designed to simulate autonomous workflows with an emphasis on stealth, abstraction, and flexible execution across environments. The system likely focuses on orchestrating tasks in a way that minimizes friction between user intent and execution, allowing agents to operate with minimal direct supervision. Its architecture suggests modular components that handle planning, execution, and context management independently, enabling scalable and... -
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Python Interview Bible
Curated set of interview notes, Q&A, and code snippets
...Many entries include comparative discussions, such as list vs tuple or threading vs multiprocessing, to cultivate judgment rather than rote memorization. You will also find patterns for writing clean, idiomatic Python and tips for discussing trade-offs during interviews. The tone is practical and task-oriented, helping candidates rehearse under realistic constraints. -
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AWorld
Build, evaluate and train General Multi-Agent Assistance with ease
AWorld (Agent World) is an agent runtime/framework. It supports building, evaluating, and training self-improving intelligent agents and multi-agent systems (MAS). It is designed to provide infrastructure for agent orchestration, iterative learning, and environment interaction at scale. Scalable training across environments and distributed setups. Support for multi-agent collaboration/orchestration (MAS). The system is intended to help agents evolve via experience. It provides features to... -
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PowerJob
Enterprise job scheduling middleware with distributed computing
PowerJob is an open-source distributed computing and job scheduling framework which allows developers to easily schedule tasks in their own application. Front-end page is provided and developers can manage their task, monitor the status, check the logs online, etc. Four timing strategies are supported, including CRON expression, fixed rate, fixed delay and OpenAPI which allows you to define your own scheduling policies, such as delaying execution. Four execution modes are supported, including stand-alone, broadcast, Map and MapReduce. Distributed computing resources could be utilized in MapReduce mode, try the magic out here! ... -
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Every Code
Local AI coding agent CLI with multi-agent orchestration tools
Every Code (often referred to simply as Code) is a fast, local AI-powered coding agent designed to run directly in the terminal environment. It is a community-driven fork of the Codex CLI, with a strong emphasis on improving real-world developer ergonomics and workflows. Every Code enhances the traditional coding assistant model by introducing multi-agent orchestration, allowing multiple AI agents to collaborate, compare solutions, and refine outputs in parallel. It supports integration with... -
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DeerFlow
Deep Research framework, combining language models with tools
...“planner,” “searcher,” “coder,” “report generator”) that collaborate in a structured workflow, allowing tasks like literature reviews, data gathering, data analysis, code execution, and final report generation to be largely automated. It supports asynchronous task coordination, modular tool integration, and orchestrates the data flow between agents — making it suitable for large-scale or multi-stage research pipelines. Users can deploy it locally or on server infrastructure, integrate custom tools, and benefit from its flexible configuration. -
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Notte
Opensource browser using agents
Notte is an open-source browser framework that enables the development and deployment of web-based AI agents. It introduces a perception layer that transforms web pages into structured, navigable maps described in natural language, allowing agents to interact with the internet more effectively. Notte is designed for building scalable and efficient browser-based AI applications. -
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StateOS
Free real-time operating system (RTOS) for microcontrollers
StateOS is a compact, open-source real-time operating system designed for embedded systems and written in ANSI C. It supports cooperative and preemptive multitasking, making it ideal for running multiple real-time tasks on microcontrollers. StateOS emphasizes clarity and ease of integration with existing projects and provides a full set of synchronization primitives, timers, and message-passing tools. It's widely used in industrial and academic settings for prototyping and low-level firmware... -
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AgentRun
The easiest, and fastest way to run AI-generated Python code safely
AgentRun is a framework for building autonomous AI agents capable of executing complex tasks with minimal human intervention. It provides a structured environment for defining agent behaviors, managing workflows, and integrating AI models to achieve specific goals. -
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Laravel Feature Flags
A Laravel package for handling feature flags
...This package aims to make implementing such flags across your application a great deal easier by providing solutions that work with not only your code but also your routes, blade files, task scheduling, and validations.
