Search Results for "tasks" - Page 37
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Showing 3766 open source projects for "tasks"
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Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the... -
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gpt-prompt-engineer
Experimental prompt optimization toolkit built around notebooks
...The system then tests those prompts against the examples and ranks their performance through an ELO-style scoring process. The repository includes versions for general prompt generation, classification tasks, Claude-based workflows, and model-to-model prompt conversion. 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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Claude BugHunter
A Claude Code skill bundle for bug hunting
Claude-BugHunter is a Claude Code skill bundle focused on bug hunting, security testing, and external red-team research workflows. It packages a large collection of specialized skills, slash commands, and disclosed-report patterns so Claude Code can reason through common vulnerability classes more systematically. The project is meant to help authorized testers structure reconnaissance, triage, hypothesis building, exploitation reasoning, and reporting. It includes curated patterns from... -
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Dockerlings
Learn docker in your terminal, with bite sized exercises
Dockerlings is an interactive learning tool and game that helps users learn Docker fundamentals directly in their terminal through bite-sized exercises and challenges. Designed for both beginners and developers who want a hands-on introduction to containerization, it gamifies common Docker tasks like managing images, containers, networks, and volumes so you can practice repeatedly without needing external tutorials or sandbox environments. The tool runs as a terminal application that presents interactive prompts and verifies your commands instantly, giving immediate feedback on whether you’ve completed the step correctly. ... -
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VT Code
VT Code - semantic AI coding agent
...The system leverages syntax-aware parsing technologies such as tree-sitter and AST-based analysis to understand code structure rather than relying solely on raw text, which enables more accurate and context-aware suggestions. VTCode operates as an agent rather than a simple autocomplete tool, meaning it can interpret user intent, navigate codebases, and assist with multi-step tasks. It is highly configurable, allowing developers to define behavior, prompts, and workflows tailored to their projects. The tool is especially useful for developers who prefer lightweight, local-first environments but still want advanced AI assistance comparable to modern IDE-based tools. -
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clawhip
claw + whip: Event-to-channel notification router
....*) for consistent automation and routing logic. Overall, Clawhip serves as an operational backbone for developer workflows, enabling real-time visibility and control over distributed AI-driven tasks. -
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Agent Orchestrator
Agentic orchestrator for parallel coding agents
Agent Orchestrator from Composio is an open-source orchestration layer designed to manage fleets of parallel AI coding agents working on a shared codebase. It enables each agent to operate independently in isolated git worktrees, handling tasks like fixing CI failures, addressing code review comments, and creating pull requests. The platform automates the coordination of multiple agents, reducing the need for manual oversight in complex development workflows. It supports a wide range of agents, runtimes, and tools, making it flexible and framework-agnostic. Through a centralized dashboard, developers can monitor progress, review outputs, and intervene only when human judgment is required. ... -
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Gemini MCP Tool
MCP server that enables AI assistants to interact with Google Gemini
Gemini MCP Tool is a lightweight MCP server that enables AI assistants to interface directly with the Google Gemini CLI, effectively extending the capabilities of one AI system by leveraging another. Its primary purpose is to allow tools like Claude or other MCP-compatible agents to offload complex or large-scale analysis tasks to Gemini, particularly when working with large files or codebases. The system takes advantage of Gemini’s large context window, enabling deeper analysis of extensive datasets that might otherwise exceed the limits of other models. It supports workflows where users can reference files or directories using simple syntax, allowing the AI to process entire projects or documents in a single request. ... -
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EverMemOS
Long-term memory OS for AI with structured recall and context awarenes
...Its architecture combines memory storage, indexing, and retrieval with agent-level reasoning, allowing AI systems to make informed decisions based on prior interactions. EverMemOS goes beyond simple retrieval by actively applying stored knowledge to current tasks, improving personalization and consistency. EverMemOS uses a multi-stage memory lifecycle to convert raw dialogue into structured semantic data, supporting long-horizon reasoning and adaptive behavior across sessions. -
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RuoYi AI
Enterprise AI platform for building, deploying, and managing apps
...RuoYi AI includes built-in support for retrieval-augmented generation, enabling organizations to create secure, private knowledge bases with high-accuracy search and reasoning capabilities. It also offers visual workflow orchestration tools that allow users to design complex AI pipelines, automate tasks, and coordinate multi-agent systems for advanced decision-making scenarios. In addition to backend capabilities, RuoYi AI includes frontend components and administrative dashboards built with modern web technologies, making it a complete end-to-end solution. -
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Minuet
Dance with Intelligence in Your Code
...The system provides both traditional chat-based prompt completion and fill-in-the-middle code generation for models that support that capability. This design allows developers to receive context-aware suggestions as they type, helping accelerate coding tasks such as writing boilerplate code, completing functions, or generating small code blocks. -
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Slack MCP Server
The most powerful MCP Slack Server with no permission requirements
...Through this architecture, AI assistants can read message histories, interact with channels, and retrieve contextual information from Slack conversations in order to perform tasks such as automated analysis, collaboration assistance, or contextual code review. The server supports multiple communication transports, including standard input/output streams, HTTP, and Server-Sent Events, allowing flexible integration with different AI client environments. -
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csghub-server
csghub-server is the backend server for CSGHub
...The server acts as a centralized management layer that allows teams to store, organize, and operate AI assets such as models, datasets, and machine learning applications in a manner similar to artifact repositories used in software engineering. Built primarily in the Go programming language, the system enables organizations to run model inference, training, and fine-tuning tasks within a unified platform. It integrates capabilities similar to model repositories like Hugging Face while allowing enterprises to host and manage their AI assets internally for security and compliance purposes. -
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Harpoon
Command line OSINT and threat intelligence automation tool
...Harpoon is written in Python and organized around a modular plugin system, where each plugin is responsible for querying a specific platform, API, or intelligence service. This design allows users to automate many reconnaissance and intelligence gathering tasks directly from the terminal. Harpoon integrates with numerous security and data services such as Shodan, VirusTotal, AlienVault OTX, and many other intelligence providers to retrieve information about domains, IP addresses, emails, and other indicators. Many commands rely on API keys that can be configured through a central configuration file, allowing users to connect their own intelligence accounts and data sources. -
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Torch Pruning
DepGraph: Towards Any Structural Pruning
...Torch-Pruning physically removes parameters rather than masking them, which results in smaller and faster models during both training and inference. The toolkit supports a wide variety of architectures used in computer vision and large language models, making it a flexible solution for model compression tasks. -
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DocETL
A system for agentic LLM-powered data processing and ETL
...The platform allows developers and researchers to construct structured workflows that extract, transform, and organize information from sources such as reports, transcripts, legal documents, and other text-heavy data. Instead of relying on single prompts or ad-hoc scripts, DocETL provides a declarative pipeline framework that breaks complex document analysis tasks into manageable operations that can be optimized and orchestrated automatically. Pipelines are typically defined using a low-code YAML interface, giving users full control over prompts and processing steps while still simplifying workflow creation. -
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AIPex
AI browser automation assistant, no migration and privacy first
AIPex is an AI-augmented development toolkit and workflow platform that aims to accelerate software productivity by integrating intelligent assistants, code generation tools, and customizable automation patterns directly into developer workflows. Rather than treating AI as a separate helper, AIPex embeds AI capabilities into common tasks like scaffolding components, generating tests, analyzing code quality, and performing refactors, allowing developers to stay in flow while benefiting from model-assisted insights. It supports modular plugin architecture so teams can extend or customize how assistants behave based on project conventions, code standards, or tooling preferences. ... -
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AiToEarn
Let's use AI to Earn
...The project supports matrix publishing to major global platforms like TikTok, YouTube, Instagram, Facebook, Pinterest, Twitter (X), and several Chinese social networks, enabling a “create once, publish everywhere” workflow. AI automation assists with tasks like title and caption creation, batch content generation, and optimization for each channel’s format and audience. Developers can run or extend AiToEarn locally using Node.js or via its desktop and web apps, and the open-source architecture encourages customization and community contributions. -
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FinGPT
Open-Source Financial Large Language Models
...It extends traditional GPT-style models by connecting them to live or historical financial datasets, news APIs, and economic indicators so that outputs are grounded in relevant and recent market conditions rather than generic knowledge alone. The platform typically includes tools for fine-tuning, context engineering, and prompt templating, enabling users to build specialized assistants for tasks like sentiment analysis, earnings summary generation, risk profiling, trading signal interpretation, and document extraction from financial reports. -
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GLM-Image
GLM-Image: Auto-regressive for Dense-knowledge and High-fidelity Image
...Because it blends linguistic reasoning with image synthesis, GLM-Image produces visual outputs where semantic relationships and textual accuracy are prioritized alongside artistic style and realism, and its model structure enables it to handle dense visual knowledge tasks that challenge many pure diffusion models. The model’s design and weights are available under an open-source license that encourages experimentation, integration, and deployment across a range of creative workflows. -
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DINOv2
PyTorch code and models for the DINOv2 self-supervised learning
...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, detection, and segmentation—often requiring little or no fine-tuning. The repository includes code for training, evaluating, and feature extraction, with utilities to run k-NN or linear evaluation baselines to assess representation quality. Pretrained checkpoints cover multiple model sizes so practitioners can trade accuracy for speed and memory depending on their deployment constraints. -
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macOS (Dockur)
macOS inside a Docker container
...Because it’s containerized, you can script lifecycle operations, snapshot state via volumes, and integrate the VM into CI or demo setups without a traditional hypervisor UI. Performance depends on host capabilities and whether hardware acceleration is available, but for light GUI tasks, tooling, or sandboxing, it’s surprisingly practical. Users should bring their own valid media and licenses, and be mindful of platform terms and host resource limits. -
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Fabric
Fabric is an open-source framework for augmenting humans using AI
...The tool standardizes execution with configuration files and environment variables, enabling reproducible runs across different models and providers. Patterns can be customized with variables, chained into pipelines, and applied to entire directories, which helps scale editorial or analytical tasks. A growing catalog of community patterns serves as a knowledge base for effective prompt engineering in practical contexts. In short, Fabric makes LLM work predictable and scriptable, so teams can share methods rather than one-off prompts. -
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BCC (BPF Compiler Collection)
Tools for BPF-based Linux IO analysis, networking, monitoring, etc.
...BCC makes BPF programs easier to write, with kernel instrumentation in C (and includes a C wrapper around LLVM), and front-ends in Python and lua. It is suited for many tasks, including performance analysis and network traffic control. With a BPF-specific frontend, one should be able to write in a language and receive feedback from the compiler on the validity as it pertains to a BPF backend. This toolkit aims to provide a frontend that can only create valid BPF programs while still harnessing its full flexibility. -
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MODMAIL
A feature rich discord Modmail bot
...When a member sends a direct message to the bot, Modmail will create a channel or "thread" into a designated category. All further DM messages will automatically relay to that channel; any available staff can respond within the channel. Schedule tasks in human time, e.g. ?close in 2 hours silently. Editing and deleting messages are synced. Support for the diverse range of message contents (multiple images, files). Paginated commands interfaces via reactions. When you close a thread, Modmail will generate a log link and post it to your log channel.
