Search Results for "tasks" - Page 49
Sort By:
Showing 3767 open source projects for "tasks"
View related business solutions-
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.
-
$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.
-
1
Airweave CLI
The Airweave CLI for developers and AI agents
...It provides developers with a lightweight tool to interact with Airweave’s platform directly from the terminal, enabling rapid iteration on AI pipelines without relying on graphical interfaces. The CLI simplifies tasks such as configuring environments, running AI agents, managing prompts, and integrating external APIs, making it particularly useful for engineers building automation or orchestration layers around large language models. It emphasizes developer productivity by offering clear commands, modular configurations, and seamless integration with existing development workflows. ... -
2
Cognita
Open source RAG framework for building scalable modular AI apps
...Cognita provides reusable components such as parsers, data loaders, embedders, retrievers, and query controllers, allowing teams to customize each stage of the RAG pipeline independently. It includes both a backend service and a frontend interface, enabling users to upload documents, experiment with configurations, and perform question-answering tasks interactively. Cognita supports incremental indexing, meaning it processes only new or updated data to reduce computational overhead and improve efficiency. -
3
Gooo
Toolkit for developing web applications in Vue, Templ, and Go
...The project emphasizes simplicity and flexibility, enabling users to integrate its components into scripts or larger systems. While not as feature-heavy as enterprise frameworks, it serves as a foundation for experimentation and rapid prototyping in data extraction or automation tasks. Its design reflects a developer-centric approach, prioritizing extensibility and ease of modification over polished interfaces. -
4
Browserless
The headless Chrome/Chromium driver on top of Puppeteer
Browserless is an open-source headless browser automation library and service built on top of Puppeteer that simplifies the process of running and scaling Chromium-based browser tasks in production environments. It provides a high-level API for interacting with headless Chrome, allowing developers to perform operations such as generating PDFs, capturing screenshots, extracting text or HTML, and automating web navigation. The project is designed to act as a production-ready abstraction layer over Puppeteer, offering improved reliability, error handling, and scalability for real-world applications. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
chromedp
A faster, simpler way to drive browsers supporting the Chrome DevTools
...The library allows developers to control Chrome or Chromium programmatically from Go applications without relying on external browser drivers or additional runtime dependencies. Using chromedp, developers can automate tasks such as navigating websites, filling out forms, clicking elements, capturing screenshots, and extracting structured data from pages. The library typically operates in headless mode but can also run with a visible browser window when needed for debugging or development. Because it communicates directly with Chrome’s debugging interface, chromedp offers high performance and reliable automation compared with tools that rely on intermediary drivers. ... -
6
MCiSEE
All of Minecraft, EASILY get Minecraft resources
...By converting gameplay data into visual or structured formats, MCiSEE enables researchers and developers to build AI agents capable of interacting with the Minecraft environment. The project can be used as a research platform for tasks such as reinforcement learning, perception analysis, or automated gameplay strategies. It bridges the gap between game simulation and AI experimentation by providing tools that connect Minecraft gameplay with external algorithms. Developers can extend the platform to test new approaches to artificial intelligence within a complex virtual environment. -
7
TypeAgent Python
Structured RAG: ingest, index, query
...The repository is intended primarily as a research prototype and sample code rather than a production-ready framework, allowing developers to experiment with building AI agents that maintain structured memory and perform tasks through defined actions. -
8
Google Research: Language
Shared repository for open-sourced projects from the Google AI Lang
Google Research: Language is a shared repository maintained by Google Research that contains open-source projects developed by the Google AI Language team. The repository hosts multiple subprojects related to natural language processing, machine learning, and large-scale language understanding systems. Many of the projects included in the repository correspond to research papers released by Google researchers and provide implementations of new NLP algorithms or experimental frameworks. These... -
9
SpikingJelly
SpikingJelly is an open-source deep learning framework
SpikingJelly is an open-source deep learning framework for spiking neural networks that is primarily built on top of PyTorch and aimed at neuromorphic computing research. The project provides the components needed to build, train, and evaluate neural models that communicate through discrete spikes rather than the continuous activations used in conventional artificial neural networks. This makes it especially relevant for researchers interested in biologically inspired computing, event-driven... -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
-
10
autocrawler
Multiprocess Selenium crawler for downloading images by keywords
...It uses Selenium and a Chrome browser driver to navigate image search pages and collect image sources based on keywords provided by the user. AutoCrawler supports multiprocess and multithreaded downloading, which allows it to retrieve images faster by running several tasks simultaneously. Users provide search terms through a simple keyword file, and the crawler organizes downloaded images into directories for each keyword. It can download either thumbnails or full resolution images and supports multiple image formats such as JPG, GIF, and PNG. It also includes configuration options such as headless mode, download limits, proxy usage, and thread count to customize crawling behavior. -
11
TTRL
Test-Time Reinforcement Learning
TTRL is an open-source framework for test-time reinforcement learning in large language models, with a particular focus on reasoning tasks where ground-truth labels are not available during inference. The project addresses the problem of how to generate useful reward signals from unlabeled test-time data, and its central insight is that common test-time scaling practices such as majority voting can be repurposed into reward estimates for online reinforcement learning. -
12
browserable
Open source and self-hostable browser automation library for AI agents
...It is designed to be self-hostable, which means developers can deploy and run it on their own infrastructure without relying on third-party services. The platform enables the creation of browser-based agents capable of performing complex online workflows such as data collection, research tasks, and automated interactions with web platforms. -
13
repo2txt
Web-based tool converts GitHub repository contents
...By collecting repository contents and formatting them into a single text document, repo2txt allows developers to feed complete projects into AI systems for analysis, documentation, or code explanation tasks. The application can load repositories from platforms such as GitHub or from local directories and provides an interface for selecting which files should be included in the generated output. It also supports filtering by file types and automatically respecting ignore patterns defined in project configuration files. -
14
MoBA
MoBA: Mixture of Block Attention for Long-Context LLMs
...Instead of forcing each token to attend to every other token in the sequence, MoBA divides the context into blocks and dynamically routes queries to only the most relevant segments of information. This routing strategy reduces the computational cost associated with traditional attention while preserving performance on reasoning and long-context tasks. The approach allows language models to scale to significantly longer input contexts without the quadratic computational cost normally associated with transformer attention mechanisms. -
15
Floneum
Instant, controllable, local pre-trained AI models in Rust
Floneum is an open-source platform for building AI-powered workflows using large language models through a visual and extensible interface. The system allows users to design complex AI pipelines using a drag-and-drop workflow builder rather than writing extensive code. It focuses on enabling developers and researchers to create language model applications that combine different tools, data sources, and AI capabilities into automated workflows. Floneum supports a plugin architecture that... -
16
POML
Prompt Orchestration Markup Language
...Traditional prompt engineering often relies on unstructured text, which can become difficult to manage as prompts grow more complex and incorporate dynamic data sources. POML addresses this issue by introducing an HTML-like syntax that allows developers to organize prompts into structured components such as roles, tasks, and examples. This structure enables prompts to be reused, modified, and versioned more easily within complex AI applications. The language also supports integration of multiple data types including documents, tables, and other external inputs that must be incorporated into prompts dynamically. By separating prompt content from presentation logic, POML enables developers to maintain cleaner and more maintainable prompt pipelines. -
17
Llama-Chinese
Llama Chinese community, real-time aggregation
...The project aggregates datasets, research resources, tutorials, and tools that help developers train and fine-tune LLaMA-based models with Chinese linguistic capabilities. It also provides optimized versions of LLaMA models trained on large-scale Chinese datasets to improve performance in tasks such as translation, summarization, and conversational AI. The community maintains educational materials and technical documentation that help researchers understand the process of training and deploying Chinese-optimized large language models. In addition to model development, the project collects learning resources and open research contributions related to LLM technology in Chinese environments. ... -
18
Flower
Real-time monitor and web admin for Celery distributed task queue
...It exposes detailed visibility into worker status, task execution history, and queue metrics through an interactive web dashboard. Developers and operators can remotely manage workers by restarting instances, adjusting pool sizes, revoking tasks, or applying rate limits without direct server access. Flower also supports broker monitoring and integrates with authentication providers and Prometheus for metrics export, making it suitable for production environments. The tool communicates with Celery using event streams, allowing near real-time updates on asynchronous workloads. ... -
19
refactoring.nvim
The Refactoring library based off the Refactoring book
refactoring.nvim is a Neovim plugin developed to bring powerful automated code refactoring capabilities to one of the most popular text editors among programmers, giving developers a suite of refactoring operations that streamline repetitive restructuring tasks inside the editor. Built around an intuitive set of commands and a Lua API, the plugin allows users to extract and inline variables or functions, pull blocks of code into new files, and modify code structure without leaving the comfort of Neovim’s modal interface. It integrates with built-in Neovim selection modes and can work with third-party tools like Telescope to present refactoring options quickly, enabling rapid transformation of code patterns. ... -
20
A.I.G (AI-Infra-Guard)
Full-stack AI Red Teaming platform
...It brings together AI infrastructure vulnerability scanning, MCP server risk analysis, and jailbreak evaluation into a unified workflow so that enterprises and individuals can identify critical security issues without relying on external services. Users can deploy it via Docker or scripts to get a modern web UI that guides them through tasks like scanning third-party frameworks for known CVEs and experimenting with prompt security against attack vectors. The tool provides both a visual interface and a comprehensive API, making integration with internal security systems or CI/CD pipelines practical for ongoing risk management. -
21
Kimi k1.5
Scaling Reinforcement Learning with LLMs
Kimi-k1.5 is an advanced open-source multimodal large-language model project that explores scaling reinforcement learning with long-context chains of thought, achieving performance that rivals or surpasses state-of-the-art models on benchmarks like LiveCodeBench, AIME, and MATH-500. The project emphasizes a simplistic yet powerful framework where the context window scales up to 128k tokens, enabling reasoning that resembles planning, reflection, and correction over a much longer sequence of... -
22
FireRedASR
Open-source industrial-grade ASR models
...The project includes multiple model variants to meet different application needs, such as high-accuracy end-to-end interaction using an encoder-adapter-LLM framework and efficient real-time recognition using attention-based encoder-decoder architectures, giving developers flexibility in balancing performance and resource constraints. FireRedASR not only excels in traditional speech recognition tasks but also demonstrates strong capability in challenging scenarios like singing lyrics recognition, where accurate transcription is often difficult for conventional models. -
23
Personal AI Infrastructure
Agentic AI Infrastructure for magnifying HUMAN capabilities
Personal AI Infrastructure (PAI) is an ambitious open-source project focused on building a deeply personalized agentic AI system that learns from every interaction to magnify human capabilities across tasks and workflows. Unlike once-stateless chatbots, this platform captures context, memory, goals, preferences, and feedback to enable an AI that understands you and improves over time, using a full agentic stack rather than simple question-answer loops. PAI blends tools like browsing, code editing, execution, and more into a continuous Observe → Think → Plan → Execute → Verify → Learn cycle, letting the system refine its behavior with each use. ... -
24
mapcn
Beautiful map components, 100% Free, Zero config, one command setup
mapcn is a research-oriented project centered on mapping continuous control in reinforcement learning to structured policies using neural networks. It explores how high-dimensional action spaces can be decomposed into structured primitives that can be learned, composed, and reused across different tasks. The core idea is to enable agents to generalize learned behavior by representing continuous control policies in a compact, interpretable form that preserves smoothness and controllability. The project includes implementations that experiment with policy encoding, action decomposition techniques, and sample efficiency analysis in classic reinforcement learning environments. ... -
25
Qualify
Claude code to help you do lead research and qualification
Qualify is a lightweight micro-CRM prototype and automation framework geared toward helping small teams and individual users manage leads, tasks, customer interactions, and simple sales pipelines without the overhead of traditional enterprise platforms. Rather than trying to replicate every feature of a full CRM suite, it focuses on core workflows like capturing leads, tracking stages, logging interactions, and generating reminders or alerts for follow-ups so that users spend more time building relationships and less time navigating interface complexity. ...
