Search Results for "task" - Page 8
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Showing 2026 open source projects for "task"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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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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secator
Automated framework for running pentesting tools and workflows
Secator is a task and workflow runner designed to streamline security assessments by integrating many well-known penetration testing and reconnaissance tools into a unified framework. It acts as a centralized automation platform that helps security professionals run tasks, workflows, and scans more efficiently from a single command-line interface. -
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RESTinio
HTTP/WebSocket server C++14 library
...It is based on the standalone version of ASIO and is targeted primarily for the asynchronous processing of HTTP requests. Since v.0.4.1 Boost::ASIO (1.66 or higher) is also supported. Consider the task of writing a C++ application that must support some REST API, RESTinio represents our solution for that task. Server runs on the main thread, and responds to all requests with a hello-world message. Of course, you've got access to the structure of a given HTTP request, so you can apply complex logic for handling requests. Async request handling. ... -
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SmartNode
Visual simulation platform for space-based data backhaul scenarios
smartNode is a visual simulation platform for space-based intelligent relay and satellite data-return scenarios. It models the relationship between satellites, ground stations, relay links, and content-driven task scheduling. The project includes a Python backend and a browser-based frontend, making it suitable for local simulation, teaching, and secondary development. Users can view a three-dimensional space situation, submit data return tasks, and monitor resource states in real time. The system exposes APIs for health checks, simulation data, resource status, utilization metrics, and configuration updates. smartNode is best suited for aerospace students, communications learners, instructors, and developers exploring space-based network simulation. -
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clawchief
Turn your OpenClaw into a Chief of Staff
...The system is built around the idea of hierarchical control, where a “chief” agent oversees subordinate agents and directs their activities based on high-level objectives. This approach allows for more predictable and organized multi-agent behavior compared to decentralized systems. The architecture likely includes task planning, delegation logic, and feedback loops that enable iterative refinement of outputs. It is particularly useful in scenarios where multiple agents must collaborate on interdependent tasks, such as coding, research, or automation pipelines. The system may also include monitoring tools to track agent performance and identify failures or inefficiencies. -
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colleague-skill
Transform a cold separation into a warm Skill
colleague-skill is a specialized agent skill designed to simulate a collaborative teammate within AI-driven workflows, enabling agents to behave more like human colleagues in problem-solving scenarios. The project focuses on enhancing interaction quality by introducing role-based behavior, contextual awareness, and cooperative task execution. It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. The system likely integrates with broader agent frameworks, enabling seamless inclusion in multi-agent environments. It emphasizes communication and coordination, ensuring that agents can contribute meaningfully to shared objectives. ... -
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agent heroes
Generate, animate and schedule your AI characters
...The project emphasizes multi-agent systems where different agents are assigned roles, responsibilities, and tools, allowing them to interact and coordinate toward a shared objective. It provides abstractions for defining agent behavior, communication patterns, and task execution pipelines, enabling developers to build systems that go beyond simple prompt-response interactions. The framework is designed to integrate with modern large language models and external APIs, allowing agents to access tools, retrieve data, and perform actions dynamically. It also supports modular design, making it possible to extend agent capabilities or swap components without redesigning the entire system. agentheroes is particularly useful for automation, workflow orchestration, and experimentation with collaborative AI systems. -
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mo - Monads
Monads and popular FP abstractions, powered by Go 1.18+ Generics
mo - Monads is a functional programming utility library for Go that introduces monads and related abstractions using modern Go generics. The project brings well-known FP constructs such as Option, Result, Either, Future, IO, and Task into the Go ecosystem to help developers write safer and more composable code. By leveraging generics introduced in Go 1.18+, the library provides strong type safety without relying on reflection or code generation. It is particularly useful for managing nullable values, error propagation, asynchronous workflows, and functional pipelines in a predictable way. ... -
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AutoCut
Cut videos with a text editor
...AutoCut automatically generates subtitles or transcripts for uploaded videos, and users can simply edit the text file to select the segments of the video they want to keep. This approach transforms video editing into a textual editing task, greatly lowering the barrier to editing for users who find traditional video editors complex or unintuitive. AutoCut supports multiple transcription backends, including Whisper and faster-whisper modes, allowing users to choose based on speed or accuracy needs. After editing the transcript text, the corresponding video clips are merged into the final output, and the tool also produces matching subtitle files. ... -
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CallMe
Minimal plugin that lets Claude Code call you on the phone
CallMe is a minimalist plugin for Claude Code that bridges computational tasks with real-world alerts by letting the AI call your phone, smartwatch, or even a landline when an operation finishes, gets stuck, or needs a user decision. It is designed to let users start a long-running task, leave their device, and then be notified in a natural way with a phone call instead of second-guessing progress in the console. The plugin uses a local MCP server alongside a webhook tunnel (typically via ngrok) to connect with voice providers like Telnyx or Twilio for outbound calls, with prompts and responses flowing between Claude Code and the user’s voice device. ... -
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AgentUniverse
agentUniverse is a LLM multi-agent framework
AgentUniverse is a multi-agent AI framework that enables coordination between multiple intelligent agents for complex task execution and automation. -
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Qualitis
Qualitis is a one-stop data quality management platform
Qualitis is a data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing. Based on Spring Boot, Qualitis submits quality model task to Linkis platform. It provides functions such as data quality model construction, data quality model execution, data quality verification, reports of data quality generation and so on. At the same time, Qualitis provides enterprise-level features of financial-level resource isolation, management and access control. It is also guaranteed working well under high-concurrency, high-performance and high-availability scenarios. -
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ENScan Go
ENScan_GO is an enterprise information reconnaissance tool
...The tool targets analysts who need one-click collection and normalized output to reduce manual lookups across registries and platforms. Recent releases added a reworked task model with queueing, resumable searches via cached progress, export format options, and a public API surface for custom keyword strategies. Documentation and issues discuss operational concerns such as rate limits, verification challenges, and use of proxies to reduce bans. The project is maintained under Apache-2.0 and is positioned for both single-shot queries and batch investigations. -
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Gradle IntelliJ Plugin
Gradle plugin for building plugins for IntelliJ-based IDEs
...The IDE Plugin generator automatically creates the Run Plugin run configuration that can be executed via the Run | Run... action or can be found in the Gradle tool window under the Run Configurations node. To execute the Gradle runIde task directly, open the Gradle tool window and search for the runIde task under the Tasks node. If it's not on the list, hit the re-import button in the toolbar at the top of the Gradle tool window. -
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DeepCTR
Package of deep-learning based CTR models
...Provide tensorflow estimator interface for large scale data and distributed training. It is compatible with both tf 1.x and tf 2.x. With the great success of deep learning,DNN-based techniques have been widely used in CTR prediction task. The data in CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Since DNN are good at handling dense numerical features,we usually map the sparse categorical features to dense numerical through embedding technique. -
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Logseq
A privacy-first, open-source platform for knowledge management
Logseq is a privacy-first, open-source knowledge base that works on top of local plain-text Markdown and Org-mode files. Use it to write, organize and share your thoughts, keep your to-do list, and build your own digital garden. Logseq is a platform for knowledge management and collaboration. It focuses on privacy, longevity, and user control. The server will never store or analyze your private notes. Your data are plain text files and we currently support both Markdown and Emacs Org-mode... -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
...It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity, coherence, or task-specific metrics), and visualization helpers to make comparisons interpretable. This approach is useful for model selection, prompt engineering, and benchmarking new checkpoints against baseline models under reproducible conditions. By turning ad-hoc tests into tracked experiments, StabilityMatrix reduces bias, surfaces subtle regressions, and accelerates iteration when tuning generative systems. -
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NVTOP
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel
NVTOP stands for Neat Video card TOP, a (h) top-like task monitor for GPUs and accelerators. It can handle multiple GPUs and print information about them in a htop-familiar way. Currently supported vendors are AMD (Linux AMD GPU driver), Apple (limited M1 & M2 support), Huawei (Ascend), Intel (Linux i915 driver), NVIDIA (Linux proprietary divers), and Qualcomm Adreno (Linux MSM driver). -
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Qwen3.5
Qwen3.5 is the large language model series developed by Qwen team
Qwen3.5 is part of Alibaba’s Qwen family of large language and multimodal foundation models, designed to power advanced AI applications such as chatbots, coding assistants, and autonomous agents. The project represents a significant step toward “agentic AI,” meaning models that can reason through multi-step tasks and interact with external tools or environments rather than only generating text. Qwen3.5 builds on earlier Qwen generations by improving multilingual understanding, reasoning... -
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Nuxt
The Intuitive Vue Framework
Nuxt is a free, open‑source framework built on Vue.js that streamlines the development of type‑safe, high-performance full‑stack web applications and static sites, with an emphasis on developer experience, modularity, and extensibility. Simple, intuitive and powerful, Nuxt lets you write Vue components in a way that makes sense. Every repetitive task is automated, so you can focus on writing your full-stack Vue application with confidence. We highly recommend you take a look at the Nuxt documentation to level up. It’s a great resource for learning more about the framework. It covers everything from getting started to advanced topics. -
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Xianyu Intelligent Monitor Bot
AI tool for real-time monitoring and analysis of Goofish listings
ai-goofish-monitor is an open source automation tool designed to monitor listings on the Goofish second-hand marketplace and analyze them using artificial intelligence. It combines browser automation with AI-based analysis to automatically search, collect, and evaluate newly posted items that match a user’s purchase criteria. It uses Playwright to simulate real user interactions with the marketplace, allowing the system to retrieve product data and track updates in near real time.... -
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Anthony Fu's Skills
Anthony Fu's curated collection of agent skills
...These skills are typically simple, human-readable files that contain structured steps, rules, examples, and workflow logic, letting tools like Claude Code or Copilot CLI load and run them only when they apply to the user’s input. By offloading detailed task patterns into discrete skill modules, developers can greatly extend what coding agents can do without retraining the underlying language model itself. The project serves as a curated registry of utilities that save time, standardize best practices, and encode expertise across domains, while still being easy to customize or extend. ... -
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LaReview
The code review workbench
...It operates as a desktop application with CLI integration, allowing users to launch reviews directly from their terminal while keeping all processing local to ensure security and prevent data leakage. The system presents reviews as hierarchical task trees, enabling developers to work through changes step by step, attach notes, and track progress across different review concerns. -
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agency-agents-zh
193 plug-and-play AI expert roles
...It is designed to simulate organizational workflows, enabling complex problem-solving through distributed intelligence rather than a single monolithic model. The system likely includes tools for defining agent roles, managing communication protocols, and orchestrating task execution across agents. Its multilingual or localized orientation suggests it is tailored for specific linguistic or regional use cases, particularly in Chinese-speaking contexts. Overall, it serves as an experimental platform for studying and deploying cooperative AI agent systems. -
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Browser Agent
AI Browser Agent is an advanced Browser AI tool
...The tool allows developers to describe tasks in plain English, such as navigating pages, clicking elements, filling forms, and extracting data, and the system executes those actions as if a human were interacting with the browser. It is designed to simplify complex automation workflows by removing the need for manually written selectors or step-by-step scripts. The agent supports multi-step task execution, enabling it to perform sequences of actions across multiple pages while maintaining context. It also provides structured output formats such as JSON, HTML, Markdown, or screenshots, making it easy to integrate results into other systems or pipelines. Because it can interact with dynamic, JavaScript-heavy websites, it is suitable for modern web scraping and automation tasks. -
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AI Researcher
An autonomous AI researcher
...It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code. Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they communicate through a task-management interface that ensures progress tracking and iterative refinement. The system emphasizes modularity, so teams can swap in new reasoning modules, data retrieval strategies, or domain knowledge bases depending on the research topic. Through self-supervised feedback loops, agents adjust their strategies based on prior outcomes, improving both the quality and relevance of results over time.
