Search Results for "task" - Page 5
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Showing 1768 open source projects for "task"
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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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Bottles
Run Windows software and games on Linux
Bottles lets you run Windows software on Linux, such as applications and games. It introduces a workflow that helps you organize by categorizing each software to your liking. Bottles provide several tools and integrations to help you manage and optimize your applications. Bottles introduces a new way to handle Windows prefixes using environments, a combination of ready-to-use settings, libraries and dependencies. -
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Agent Skills
Skills for AI coding agents
Agent Skills by Vercel Labs is a curated collection of modular “skills” designed to extend the capabilities of AI coding agents by packaging human-ready instructions, workflows, and optional scripts that tell an agent how to perform specific development tasks. In this repository, each skill adheres to the Agent Skills specification, meaning they’re defined as folders with a SKILL.md file (containing task descriptions and step-by-step guidance) and can include helper scripts and reference material that the agent can execute or consult when invoked. The goal of the project is to make it easy for AI assistants like Claude Code, OpenCode, Cursor, Codex, and others that support this open ecosystem to automatically apply best practices or perform concrete actions when a relevant user intent is detected. ... -
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Superpowers
An agentic skills framework & software development methodology
...Instead of simply generating code, Superpowers drives an AI through a thoughtful software engineering workflow that starts with clarifying project intent, teasing out a detailed specification, and creating an implementation plan that is readable and actionable. It incorporates test-driven development, task planning, and sub-agent orchestration so that each engineering task is executed, checked, and iterated upon with rigor rather than ad-hoc improvisation. Superpowers includes a rich set of modular “skills” that guide the AI in areas such as brainstorming, planning, debugging, and code review, giving it the tools to function like a disciplined developer rather than a naive auto-completer. -
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ClawPort
Open-source AI agent command center for Claude Code agent teams
...It provides a visual interface that replaces fragmented terminal-based workflows, allowing users to monitor, control, and communicate with multiple agents from a single location. The platform is built to improve visibility into multi-agent environments, offering insights into agent activity, task execution, and system performance in real time. It supports direct interaction with agents through chat interfaces, enabling users to guide or override automated workflows when necessary. The system also incorporates organizational tools such as task boards and scheduling mechanisms, helping structure complex agent operations. By consolidating logs, metrics, and memory access into one interface, it reduces operational complexity and improves productivity. -
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WorkAny
Desktop Agent for Any Task
...Powered by a combination of Claude Code as the primary runtime agent and a sandbox execution environment for safety, WorkAny integrates an agent SDK, MCP (Model Context Protocol) support, and custom skills to handle diverse tasks with contextual understanding. Users can connect multiple model providers, including OpenAI, OpenRouter, or custom endpoints, and WorkAny supports parallel task execution with asynchronous result viewing, enhancing productivity. -
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UFO³
Weaving the Digital Agent Galaxy
...Using a dual-agent architecture, the framework analyzes both visual interface elements and system control structures in order to understand how applications should be manipulated. This enables the agent to navigate complex software environments and perform tasks that normally require manual interaction. UFO integrates mechanisms for task decomposition, planning, and execution so that high-level user requests can be broken down into smaller steps performed by specialized agents. The framework can operate across multiple applications simultaneously, allowing workflows that span several programs to be automated seamlessly. -
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CAMEL AI
Finding the Scaling Law of Agents. A multi-agent framework
...Our approach involves using inception prompting to guide chat agents toward task completion while maintaining consistency with human intentions. We showcase how role-playing can be used to generate conversational data for studying the behaviors and capabilities of chat agents, providing a valuable resource for investigating conversational language models. -
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MiMo Code
Where Models and Agents Co-Evolve
...The tool includes multiple agent modes, including a build mode for development, a plan mode for read-only analysis, and a compose mode for structured workflows. Its persistent memory system stores project notes, checkpoints, scratch notes, and task progress so the assistant can resume work with context. It also supports subagents, goal checking, voice input, MCP connections, and custom provider configuration. MiMo-Code is useful for developers who want an autonomous coding assistant that combines terminal workflows, long-running task management, and project-aware memory. -
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Stock prediction deep neural learning
Predicting stock prices using a TensorFlow LSTM
Predicting stock prices can be a challenging task as it often does not follow any specific pattern. However, deep neural learning can be used to identify patterns through machine learning. One of the most effective techniques for series forecasting is using LSTM (long short-term memory) networks, which are a type of recurrent neural network (RNN) capable of remembering information over a long period of time. -
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TREK
A self-hosted travel/trip planner with real-time collaboration
TREK is a system designed to explore task execution, reasoning, or knowledge traversal in structured environments, likely focusing on guiding agents through complex multi-step processes. The project appears to emphasize traceability, allowing users to follow how decisions are made and how tasks progress through different stages. Its architecture suggests a focus on modular reasoning, where each step in a process is clearly defined and can be analyzed independently. -
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QOwnNotes
QOwnNotes is a plain-text file notepad and todo-list manager
...The application is optimized for performance and minimal footprint, so it runs smoothly even with large note libraries, and it includes features like a live markdown preview panel that lets you see rendered text alongside raw markdown as you type. QOwnNotes supports hierarchical folders and tagging, making it easy to organize, filter, and retrieve information quickly, and it also integrates to-do lists and task markers directly in your notes. -
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ProGuard
ProGuard, Java optimizer and obfuscator
...It optimizes bytecode and removes unused instructions. It renames the remaining classes, fields, and methods using short meaningless names. ProGuard can be run as a task in Gradle. Before you can use the proguard task, you have to make sure Gradle can find it in its class path at build time. One way is to add the following line to your build.gradle file which will download ProGuard from Maven Central. ProGuard works like an advanced optimizing compiler, removing unused classes, fields, methods, and attributes, shortening identifiers, merging classes, inlining methods, propagating constants, removing unused parameters, etc. -
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gpt-prompt-engineer
Experimental prompt optimization toolkit built around notebooks
...It is meant to make prompt engineering more systematic than manual trial and error. The project is useful for AI builders who need repeatable prompt selection before deploying a task-specific assistant, classifier, or automation workflow. -
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Rust
Rust tools, libraries
...It is not a single product with one narrow feature set, but a collection of reusable Rust code organized around the author’s development workflow. The repository is designed to work with the author’s Flow task runner, which provides setup, task discovery, and deployment commands. Some utilities can be compiled and installed into the user’s local path through project-specific deploy commands. The project is useful as a reference for how a developer organizes practical Rust tooling across many small programs. Its main value is as a living toolkit for experimentation, automation, and personal productivity in the Rust ecosystem. -
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CodeEdit for macOS
Elevate your code editing experience. Open source, free forever
CodeEdit is a code editor built by the community, for the community, written entirely and unapologetically for macOS. Features include syntax highlighting, code completion, project find and replace, snippets, terminal, task running, debugging, git integration, code review, extensions, and more. Developers that use a Mac should be able to use an editor that feels at home on the Mac. Comparable editors are built on Electron. This is a huge limitation because it cannot utilize system resources to their fullest potential. Electron requires a Chromium instance to run. ... -
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UniTask
Provides efficient allocation free async/await integration for Unity
...TaskTracker window to prevent memory leaks. Highly compatible behavior with Task/ValueTask/IValueTaskSource. In UniTask v2, almost everything is zero-allocated due to a thorough rewrite of the code (Technical details to follow). In addition to significant performance improvements, the new asynchronous sequences, and Asynchronous LINQ. -
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Get Shit Done
A light-weight and powerful meta-prompting, context engineering
...The project emphasizes simplicity and effectiveness over bureaucratic workflows like story points, sprint ceremonies, or enterprise processes, making it especially useful for solo developers or small teams aiming to get reliable execution without overhead. GSD breaks down big goals into atomic plans, keeps AI context fresh, and automates task execution while generating standardized documentation, roadmaps, and commit histories. -
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Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
...These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets. -
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Tableau
Static Site Generator
Static Site Generator for Elixir. -
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AppWorld
World of apps for benchmarking interactive coding agent
AppWorld is a framework developed by Stony Brook University's NLP group to simulate environments for training and evaluating dialogue agents in task-oriented applications. -
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Letta
Letta (formerly MemGPT) is a framework for creating LLM services
Letta is an AI-powered task automation framework designed to handle workflow automation, natural language commands, and AI-driven decision-making. -
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gpt-llm-trainer
Experimental notebook pipeline for creating language models
gpt-llm-trainer is an experimental notebook pipeline for creating task-specific fine-tuned language models from a plain task description. It reduces the work normally required to collect examples, format a dataset, split training and validation data, and run fine-tuning code. The system can generate prompts and responses with larger models, then prepare that synthetic dataset for model training. It includes workflows for LLaMA 2 7B, GPT-3.5 fine-tuning, and a Claude-to-LLaMA training variant. ... -
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Agentic Data Scientist
An end-to-end Data Scientist
Agentic Data Scientist is an experimental AI-driven research framework that orchestrates data science workflows through autonomous agents that can reason, plan, and execute complex analytics tasks. Unlike traditional scripted pipelines, this project lets AI agents break down high-level research goals into sub-tasks such as data acquisition, cleaning, modeling, evaluation, and reporting, with minimal human direction. Each agent is designed to independently call functions, interact with data... -
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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.
