Search Results for "task" - Page 4
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Showing 1768 open source projects for "task"
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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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Beads Viewer
Task management system for coding agents
Beads Viewer is a visualization tool designed to display, inspect, and interact with “bead plots,” graphical representations often used in statistical analysis, time series exploration, or clustering visualizations where data points are represented as beads on strands or axes to emphasize patterns and relationships. The viewer provides an intuitive graphical interface that automatically renders bead plots from structured data inputs, enabling users to observe trends at a glance, highlight... -
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PaddleNLP
Easy-to-use and powerful NLP library with Awesome model zoo
PaddleNLP It is a natural language processing development library for flying paddles, with Easy-to-use text area API, Examples of applications for multiple scenarios, and High-performance distributed training Three major features, aimed at improving the modeling efficiency of the flying oar developer's text field, aiming to improve the developer's development efficiency in the text field, and provide rich examples of NLP applications. Provide rich industry-level pre-task capabilities Taskflow And process-wide text area API: Support for the loading of rich Chinese data sets Dataset API, can flexibly and efficiently complete data pretreatment Data API, Preset 60 + pre-training word vector Embedding API, Providing 100 + pre-training model Transformer API Wait, the efficiency of NLP task modeling can be greatly improved. -
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Dolphin Scheduler
A distributed and extensible workflow scheduler platform
...Support many task types e.g., spark,flink,hive, mr, shell, python, sub_process. Support custom task types, Distributed scheduling, and the overall scheduling capability will increase linearly with the scale of the cluster. -
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AriaNg Native
A better aria2 desktop frontend than AriaNg, containing all features
...User-friendly interface. Sort tasks (by name, size, progress, remaining time, download speed, etc.), files, and BitTorrent peers. Search tasks. Retry tasks. Adjust task order by dragging. More information on tasks (health percentage, client information of bt peers, etc.) Filter files by specified file types (videos, audio, pictures, documents, applications, archives, etc.) or file extensions. Tree view for the multi-directory task. Download/upload speed chart for aria2 or single task. Full support for aria2 settings. -
$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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Monix
Asynchronous, Reactive Programming for Scala and Scala.js
Monix is a high-performance, reactive, and asynchronous programming library for Scala and Scala.js. Built as a Typelevel project, it provides advanced abstractions like Task, Observable, Iterant, and Coeval, enabling compositional, back-pressure‑aware event-driven systems that integrate cleanly with Cats Effect and Reactive Streams. -
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AG2
Framework for building and orchestrating multi-agent AI systems
...AG2 focuses on making multi-agent systems more accessible by simplifying how agents are configured, connected, and executed. It includes mechanisms for agent-to-agent interaction, task delegation, and iterative reasoning, which are essential for building advanced AI-driven applications. AG2 is intended for developers experimenting with autonomous systems, research prototypes, or production-grade agent pipelines. AG2 emphasizes flexibility, allowing users to integrate different models and customize behaviors depending on their use case. ... -
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Request Tracker (RT)
Request Tracker, an enterprise-grade issue tracking system
Request Tracker is an open-source, enterprise-grade issue and ticket tracking system. It helps organizations manage workflows, customer requests, and internal project tasks efficiently. -
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Impetus
A key remapping daemon for linux
Linux lacks a good key remapping solution. In order to achieve satisfactory results a medley of tools need to be employed (e.g xcape, xmodmap) with the end result often being tethered to a specified environment (X11). keyd attempts to solve this problem by providing a flexible system-wide daemon that remaps keys using kernel-level input primitives (evdev, input). -
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Dask
Parallel computing with task scheduling
Dask is a Python library for parallel and distributed computing, designed to scale analytics workloads from single machines to large clusters. It integrates with familiar tools like NumPy, Pandas, and scikit-learn while enabling execution across cores or nodes with minimal code changes. Dask excels at handling large datasets that don’t fit into memory and is widely used in data science, machine learning, and big data pipelines. -
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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BullMQ
Message Queue and Batch processing for NodeJS and Python
BullMQ is a powerful, modern Node.js library for creating and managing robust job queues, built on top of Redis. It is designed for handling distributed jobs and messages in scalable applications. -
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Tasks.md
A self-hosted, Markdown file based task management board
Tasks.md is a simple, terminal-based task manager that stores tasks in a human-readable Markdown format. Designed for those who value simplicity and version control, it lets you manage to-do lists directly from the command line with minimal dependencies. Ideal for developers who want a lightweight productivity tool that integrates well with Git. -
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SIA
AI framework to autonomously improve the performance of any AI system
SIA is a self-improving AI framework designed to improve the performance of models or agents on benchmark tasks. It uses an iterative loop where a meta-agent creates or updates a task-specific target agent, while a feedback agent studies results and proposes improvements. The framework can refine both the harness around the task and the agent implementation itself. It is aimed at research and experimentation across tasks such as machine learning benchmarks, legal classification, code optimization, and scientific workflows. ... -
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Agent Skills
Production-grade engineering skills for AI coding agents
...Each workflow includes explicit steps, verification gates, and safeguards against skipping important checks. A meta-skill helps agents identify which workflow best matches the current task. The skills can be installed in supported coding tools or copied into system prompts and project instruction files. The repository is designed to make agent-assisted engineering more repeatable, disciplined, and auditable. -
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Mercury Agent
Soul-driven AI agent with permission-hardened tools, token budgets
...It supports integration with external APIs and services, making it adaptable to various domains. The architecture is modular, allowing developers to customize and extend agent capabilities. It is particularly useful for automation, research, and task delegation scenarios. Overall, mercury-agent enables scalable and intelligent workflow automation. -
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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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Beads
A memory upgrade for your coding agent
Beads is an open-source project providing a distributed, structured memory system for AI coding agents, replacing ad-hoc text plans with a git-backed graph that represents tasks, dependencies, and progress in a persistent, queryable format. Instead of storing plans as unstructured Markdown or ephemeral notes, Beads organizes agent state, task artifacts, and relationships as nodes and edges in a version-controlled graph so that long-horizon projects don’t lose context or coherence as the agent proceeds. This approach helps coding agents — and human collaborators — track which tasks depend on others, what has been done, and where workflows branch or reunify without losing important data. ... -
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AGiXT
AGiXT is a dynamic AI Automation Platform
AGiXT is a dynamic Artificial Intelligence Automation Platform engineered to orchestrate efficient AI instruction management and task execution across a multitude of providers. Our solution infuses adaptive memory handling with a broad spectrum of commands to enhance AI's understanding and responsiveness, leading to improved task completion. The platform's smart features, like Smart Instruct and Smart Chat, seamlessly integrate web search, planning strategies, and conversation continuity, transforming the interaction between users and AI. ... -
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Hephaestus
Semi-Structured Agentic Framework. Workflows build themselves
...Developers define high-level phases such as analysis, implementation, and testing, while agents generate specific subtasks within those phases. The system continuously monitors agent behavior and task progression, allowing workflows to evolve as new discoveries are made. For example, if an agent detects a bug or optimization opportunity, it can automatically create a new task and integrate it into the workflow. The framework also includes monitoring mechanisms that track agent trajectories and ensure that tasks remain aligned with overall objectives. -
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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. -
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Plandex
AI driven development in your terminal
Plandex is an AI-powered project planning and scheduling tool that optimizes resource allocation and workflow efficiency using predictive algorithms. -
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Automa
A chrome extension for automating your browser by connecting blocks
...Try a workflow from the marketplace. There're dozens of workflows been shared by Automa users which you can add and customize. Auto-fill forms, do a repetitive task, take a screenshot, or scrape website data, the choice is yours. You can even schedule when the automation will execute! Browse the Automa marketplace where you can share and download workflows with others. -
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Text-to-LoRA (T2L)
Hypernetworks that adapt LLMs for specific benchmark tasks
...Developers and researchers can experiment with how textual task descriptions can generate LoRA weights that modify model behavior in real time. -
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Fractals
Fractals is a recursive task orchestrator for agent swarm
...The system takes a high-level goal and decomposes it into a hierarchy of smaller subtasks, forming a self-similar tree that resembles a fractal structure. Each leaf node of this tree represents a specific executable task that can be processed independently by an AI agent. The framework runs these subtasks in isolated Git worktrees so agents can work on separate components of a project without interfering with one another. By coordinating these agents through a recursive task decomposition strategy, the system allows large problems to be solved collaboratively by multiple AI processes. ... -
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ClaraVerse
Claraverse is a opesource privacy focused ecosystem to replace ChatGPT
...ClaraVerse also includes task-tracking capabilities that allow complex research, coding, or analysis jobs to run in the background while users monitor their progress through a dashboard. -
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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. ...
