Search Results for "tasks" - Page 4
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Showing 3764 open source projects for "tasks"
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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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objection
Objection - runtime mobile exploration
objection is a runtime mobile exploration toolkit, powered by Frida, built to help you assess the security posture of your mobile applications, without needing a jailbreak. Perform memory-related tasks, such as dumping & patching. Explore and manipulate objects on the heap. Installation is simply a matter of pip3 install objection. This will give you the objection command. You can update an existing objection installation with pip3 install --upgrade objection. A file system listing of the iOS applications main bundle. A file system listing of the Android applications bundle. -
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Lemon AI
Full-stack Open-source Self-Evolving General AI Agent
...The system includes a multi-agent architecture that supports planning, action execution, reflection, and memory, allowing the agent to reason through tasks and refine results iteratively. A key component of the framework is a virtual machine sandbox environment that safely executes code generated by the agent without affecting the host system. -
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II Agent
A new open-source framework to build and deploy intelligent agents
...The platform allows users to interact with multiple AI models within a single environment while connecting those models to external services and knowledge sources. Through a unified interface, users can switch between models, access specialized tools, and execute tasks that require information retrieval, code execution, or file analysis. The architecture focuses on transforming traditional software tools into autonomous assistants capable of completing tasks independently based on user instructions. II-Agent supports integration with modern AI services and can coordinate interactions between different models and capabilities within the same workflow. -
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Agent Reinforcement Trainer
Train multi-step agents for real-world tasks using GRPO
...ART also supports scalable training patterns, observability tools, and integration with hosted platforms like Weights & Biases, and it provides notebooks that demonstrate training on standard benchmarks and tasks. -
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Agola
Agola CI/CD Redefined
Execute your runs in a reproducible containerized environment. Restart them from start or from the failed tasks. Implement every kind of workflow you want from simple builds to complex deployments. GitHub, GitLab, Gitea, custom Git repositories (and more to come). Execute your tasks inside a Kubernetes cluster, local docker, etc. Keep the same Runs definition but use different variables values based on rules to test your runs on multiple environments. -
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Qwen Code
Qwen Code is a coding agent that lives in the digital world
...Users configure Qwen Code by setting API keys and endpoints, supporting both mainland China and international access. With Qwen Code, developers can explore codebases, refactor and optimize code, generate documentation, and automate repetitive tasks directly from the terminal. -
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Task Scheduler
Cooperative multitasking for Arduino, ESPx, STM32, nRF and more
Cooperative multitasking for Arduino, ESPx, STM32 and other microcontrollers. A lightweight implementation of cooperative multitasking (task scheduling). An easier alternative to preemptive programming and frameworks like FreeRTOS. You mostly do not need to worry about pitfalls of concurrent processing (races, deadlocks, livelocks, resource sharing, etc.). The fact of cooperative processing takes care of such issues by design. -
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Undiscord
Delete all messages in a Discord server
...It allows users to filter messages based on criteria such as date, channel, or content, enabling more targeted cleanup operations. undiscord also includes rate limiting and delay mechanisms to reduce the risk of triggering platform restrictions during large deletion tasks. It is commonly used for privacy management, account cleanup, or removing outdated content. -
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Autonomous Agents
Autonomous Agents (LLMs) research papers. Updated Daily
...It includes frameworks that integrate visual perception, tactile sensing, and spatial reasoning to guide the actions of robotic agents during manipulation or collaborative tasks. One of the central concepts explored in the repository is the integration of different sensory modalities using advanced machine learning techniques such as Feature-wise Linear Modulation and graph-based attention mechanisms. These methods allow agents to combine visual and geometric information while maintaining awareness of the spatial relationships between agents and objects. -
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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Marketing Skills for Claude Code
Marketing skills for Claude Code and AI agents
Marketing Skills for Claude Code is an extensive library of structured “skills” designed to empower Claude Code and similar AI coding agents to perform specialized marketing tasks with strategic depth, helping technical marketers and founders apply best practices in areas such as conversion rate optimization, SEO, analytics, copywriting, and growth engineering directly in an AI-assisted workflow. Each skill in the repository is expressed as a Markdown file that encapsulates specific marketing frameworks, workflows, and context, enabling AI agents to recognize and execute domain-targeted tasks like “analytics-tracking” setup, “seo-audit,” conversion testing plans, launch strategies, email sequence creation, and more. ... -
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GEOFlow
Open-source GEO content production system with AI tasks
GEOFlow is a workflow system designed to manage and automate processes related to geographic and search optimization tasks using AI-driven pipelines. It focuses on structuring complex workflows into manageable steps, allowing users to orchestrate tasks such as content generation, analysis, and optimization. The system emphasizes modular design, enabling users to build reusable components that can be combined into larger workflows. It integrates with AI tools to enhance automation and decision-making within these pipelines. ... -
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Biomni
Biomni: a general-purpose biomedical AI agent
Biomni is a general-purpose biomedical AI agent designed to autonomously perform complex research tasks across a wide range of scientific domains, combining language model reasoning with structured planning and execution. It integrates retrieval-augmented generation with code-based execution, allowing it to access external knowledge, process data, and generate testable hypotheses in scientific workflows. The system is built to support researchers by automating repetitive and time-consuming tasks such as literature review, data analysis, and experimental design. ... -
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OpenAI Symphony
Symphony turns work into isolated, autonomous implementation runs
Symphony is an open-source framework designed to transform project tasks into autonomous implementation runs managed by AI coding agents. It allows teams to manage and prioritize work while the system automatically assigns coding agents to complete tasks. Instead of directly supervising AI agents, engineers can oversee higher-level workflows and project outcomes. Symphony integrates with project management tools to detect new tasks and initiate isolated environments where agents implement solutions. ... -
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SenseVoice
Multilingual speech recognition and audio understanding model
SenseVoice is a speech foundation model designed to perform multiple voice understanding tasks from audio input. It provides capabilities such as automatic speech recognition, spoken language identification, speech emotion recognition, and audio event detection within a single system. SenseVoice is trained on more than 400,000 hours of speech data and supports over 50 languages for multilingual recognition tasks. It is built to achieve high transcription accuracy while maintaining efficient inference performance. ... -
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Accomplish
Accomplish is the open source Al coworker that lives on your desktop
...Accomplish emphasizes autonomy, allowing it to execute multi-step tasks without constant supervision. Its design focuses on replacing repetitive manual workflows with intelligent automation. Overall, it acts as a personal AI coworker embedded in the desktop environment. -
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Meta-World
Collections of robotics environments
Meta-World is an open-source benchmark suite of robotic manipulation environments focused on multi-task and meta reinforcement learning. It provides a large collection of continuous-control tasks, such as reaching, pushing, opening doors, and manipulating objects with a simulated robot arm. The library defines standardized benchmarks like MT1, MT10, and MT50 for multi-task learning, where a single policy is trained across different numbers of tasks. It also offers meta-learning benchmarks (ML1, ML10, ML45) that evaluate few-shot adaptation to new goals or entirely new tasks. -
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Sogou C++ Workflow
C++ parallel computing and asynchronous networking engine
As Sogou`s C++ server engine, Sogou C++ Workflow supports almost all back-end C++ online services of Sogou, including all search services, cloud input method, online advertisements, etc., handling more than 10 billion requests every day. This is an enterprise-level programming engine in light and elegant design which can satisfy most C++ back-end development requirements. -
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OpenCut
The open-source CapCut alternative
...Its UI is designed to feel familiar on day one: a timeline, preview, media bin, and a minimal set of tools that cover the majority of social and short-form editing tasks. Under the hood it emphasizes responsive playback and snappy scrubbing so editors can make decisions quickly without proxy gymnastics. Common conveniences—snapping, ripple edits, keyboard shortcuts, and export presets—help you get from footage to shareable output with minimal setup. The project aims to be approachable for newcomers while still serving power users who want a dependable cutter for everyday content. ... -
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BOINC
Open-source software for volunteer computing and grid computing
BOINC (Berkeley Open Infrastructure for Network Computing) is an open-source platform that enables distributed computing using volunteered computer resources. It allows researchers to harness massive amounts of processing power from public participants for scientific projects such as climate research, disease modeling, and astrophysics. BOINC supports cross-platform deployment and is backed by a large, active community. -
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Anthropic Cybersecurity Skills
754 structured cybersecurity skills for AI agents
Anthropic Cybersecurity Skills is a collection of structured prompts, tools, and workflows designed to enhance the cybersecurity capabilities of AI systems. It focuses on defining reusable “skills” that guide AI models in performing tasks such as vulnerability analysis, threat detection, and security auditing. The project is intended for experimentation and development of AI-assisted cybersecurity workflows, providing templates that can be adapted to different environments. It emphasizes structured interaction patterns, ensuring that outputs are consistent and actionable. ... -
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Kronos
A Foundation Model for the Language of Financial Markets
...The system introduces a novel tokenization approach that converts continuous financial data into discrete tokens, enabling the model to process market behavior similarly to language. This allows Kronos to perform a variety of quantitative tasks such as forecasting, pattern recognition, and anomaly detection within financial datasets. It is optimized for the noisy and complex nature of market data, distinguishing it from general-purpose time-series models. The project includes multiple pre-trained model sizes and tools for fine-tuning, making it adaptable to different computational constraints and use cases. -
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Kiro
Kiro is an agentic IDE that works alongside you from prototype
...Unlike traditional AI coding assistants that rely heavily on ad hoc prompts, Kiro transforms natural language input into formalized requirements, architectural plans, and step-by-step implementation tasks, ensuring clarity and maintainability throughout the development lifecycle. It introduces the concept of “specs,” which act as executable documentation that defines system behavior, constraints, and acceptance criteria, allowing developers to guide AI agents more precisely. Kiro also incorporates event-driven automation through “hooks,” enabling AI agents to perform tasks such as generating tests, updating documentation, or optimizing code whenever specific development events occur. -
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BrowserOS
Agentic browser; privacy-first alternative to ChatGPT Atlas
...Rather than just doing standard browsing, it places AI intelligence at the core: you can connect your own API keys (for e.g., OpenAI, Anthropic, Google Gemini) or run local models (via e.g., Ollama) so that your browsing data and automation stay on your machine — privacy and control are emphasized throughout. The interface remains familiar to users of Chrome (including support for Chrome extensions), but adds new capabilities: the browser can automate tasks for you, help you research by extracting and summarizing content, and enable agent-based workflows (e.g., “go fetch this info,” “fill this form,” “monitor this site”). The project is community-driven and entirely open source under the AGPL-3.0 license, which means you can inspect, fork, and contribute to the codebase. -
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Garden Skills
ConardLi's open-source Skills collection, featuring web design
Garden Skills is a collection of modular AI skills designed to enhance agent workflows through structured and reusable capabilities. It focuses on organizing skills as composable units that can be combined to solve complex tasks efficiently. The repository emphasizes maintainability and scalability, allowing developers to build systems that evolve over time like a growing “garden” of capabilities. Each skill encapsulates a specific function, making it easier to reuse across projects and contexts. The system supports integration with agent frameworks, enabling automation and orchestration of tasks. -
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DINOv3
Reference PyTorch implementation and models for DINOv3
...The model supports multiple backbone architectures, including Vision Transformers (ViT), and can handle larger image resolutions with improved stability during training. The learned embeddings generalize robustly across tasks like classification, retrieval, and segmentation without fine-tuning, showing state-of-the-art transfer performance among self-supervised models.
