Search Results for "tasks" - Page 2
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Showing 72 open source projects for "tasks"
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$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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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.
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Steel Browser
Open Source Browser API for AI Agents & Apps
Steel Browser is a privacy-focused web browser built with security and performance optimizations, designed to minimize tracking and enhance user control. -
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Every Code
Local AI coding agent CLI with multi-agent orchestration tools
...Every Code enhances the traditional coding assistant model by introducing multi-agent orchestration, allowing multiple AI agents to collaborate, compare solutions, and refine outputs in parallel. It supports integration with various AI providers, enabling users to route tasks across different models depending on their needs. Every Code also includes browser integration and automation capabilities, extending its usefulness beyond simple code generation into more complex development tasks. Customization is a key focus, with support for theming, configurable settings, and reasoning controls that allow developers to fine-tune how the agent behaves. -
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chrome-cdp
Give your AI agent access to your live Chrome session
...This makes it particularly useful for automation tasks such as web scraping, testing, and dynamic data retrieval. The system emphasizes precision and control, allowing agents to operate browsers programmatically with fine-grained actions. Overall, chrome-cdp-skill acts as a bridge between AI reasoning and real-world web interaction. -
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Astron Agent
Enterprise platform for building and orchestrating AI agent workflows
...Astron Agent enables organizations to design complex agent-driven processes that coordinate models, automation tools, and enterprise systems. It also integrates robotic process automation capabilities so agents can execute tasks across digital systems instead of only generating responses. Astron Agent supports scalable and high-availability deployments, allowing teams to run reliable AI agent infrastructure in distributed environments. It includes collaboration features that allow teams to develop, manage, and operate AI applications together. With its extensible architecture and enterprise-focused design, it aims to help organizations build production-ready intelligent agent solutions. -
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.
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Desktop Commander MCP
AI-powered MCP server for desktop file and terminal automation
Desktop Commander MCP is an advanced Model Context Protocol server designed to extend AI assistants with direct control over a user’s local machine, including the file system and terminal. It integrates with clients like Claude Desktop to enable AI-driven workflows such as editing files, executing commands, and automating development tasks from a single conversational interface. Desktop Commander MCP builds on top of an MCP filesystem server and enhances it with powerful search, replace, and code editing capabilities tailored for real-world development environments. It allows users to run terminal commands with streaming output, manage long-running processes, and even execute code in memory without saving files. ... -
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KaibanJS
JS-native framework for building and managing multi-agent systems
...This approach enhances the effectiveness and efficiency of each task, moving beyond the limitations of generic AI. Just as professionals use specific tools to excel in their tasks, enable your AI agents to utilize tools like search engines, calculators, and more to perform specialized tasks with greater precision and efficiency. -
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MCP JetBrains
A model context protocol server to work with JetBrains IDEs
The JetBrains MCP Server is a Model Context Protocol (MCP) server designed to integrate seamlessly with JetBrains IDEs such as IntelliJ, PyCharm, WebStorm, and Android Studio. It facilitates enhanced communication between Large Language Models (LLMs) and the development environment, enabling AI-driven code assistance and automation. -
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PapersGPT
A powerful Zotero AI and MCP plugin with ChatGPT, Gemini 3.1, Claude
...The plugin supports a wide range of state-of-the-art language models, including GPT, Claude, Gemini, and open-source alternatives, giving users flexibility in choosing performance, cost, and privacy trade-offs. One of its most powerful features is its ability to process large volumes of academic content quickly, enabling tasks such as literature reviews, theoretical analysis, and research synthesis to be completed significantly faster. It also supports multi-document querying, allowing users to compare findings across multiple papers and generate comprehensive overviews of research topics. -
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ChatALL
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, etc.
Large Language Models (LLMs) based AI bots are amazing. However, their behavior can be random, and different bots excel at different tasks. If you want the best experience, don't try them one by one. ChatALL (Chinese name: 齐叨) can send prompts to several AI bots concurrently, helping you to discover the best results. All you need to do is download, install, and ask. -
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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BMad Method
Breakthrough Method for Agile Ai Driven Development
...The system guides users through phases including analysis, planning, solution design, and implementation, ensuring that projects are approached systematically rather than through ad hoc prompting. It adapts dynamically to project complexity, offering lightweight flows for small tasks and more rigorous processes for enterprise-scale systems. The framework also emphasizes repeatability and consistency by storing workflows, templates, and roles as reusable artifacts. Its integration with modern AI coding tools allows it to function as a full development operating system rather than a simple plugin. -
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ChatALL
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vincuna, etc.
Concurrently chat with ChatGPT, Bing Chat, bard, Alpaca, Vincuna, Claude, ChatGLM, MOSS, iFlytek Spark, ERNIE and more, discover the best answers. Large Language Models (LLMs) based AI bots are amazing. However, their behavior can be random and different bots excel at different tasks. If you want the best experience, don't try them one by one. ChatALL (Chinese name: 齐叨) can send prompt to several AI bots concurrently, help you to discover the best results. -
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web-access
Skill for installing full networking capabilities for Claude Code
...The architecture supports integration with broader agent frameworks, making it a key component for building systems that require external knowledge. It is particularly useful for tasks like research, monitoring, and automated data collection. Overall, web-access extends the capabilities of AI agents by connecting them to the live web in a structured and reliable way. -
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super-agent-party
All-in-one AI companion! Desktop girlfriend + virtual streamer
Super Agent Party is an open-source experimental framework designed to demonstrate collaborative multi-agent AI systems interacting within a shared environment. The project explores how multiple specialized AI agents can coordinate to solve complex tasks by communicating with each other and sharing information. Instead of relying on a single monolithic model, the framework organizes agents with different roles or capabilities that cooperate to achieve goals. Each agent may handle different responsibilities such as planning, execution, reasoning, or knowledge retrieval, allowing the system to tackle more complex problems than a single agent might handle alone. ... -
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GSD Core
Meta-prompting, context engineering, spec-driven development system
GSD Core is the core framework behind Open GSD, a workflow system for AI-assisted software engineering. It is designed to keep agent-driven development organized by turning vague goals into structured research, plans, tasks, implementation phases, verification steps, and handoffs. The project focuses on cleaner context, verified work, and more honest project history when working with coding agents. It supports installation across several AI coding runtimes and offers profiles for different levels of workflow surface area. The system is especially useful for developers who use AI agents heavily and need more discipline around planning, execution, and review. ... -
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Text Embeddings Inference
High-performance inference server for text embeddings models API layer
...It focuses on delivering fast and scalable embedding generation by leveraging optimized inference techniques and modern hardware acceleration. It is built to support transformer-based embedding models, making it suitable for tasks such as semantic search, clustering, and retrieval-augmented systems. It provides an API interface that allows developers to integrate embedding capabilities into applications without managing model internals directly. Text Embeddings Inference is optimized for throughput and low latency, enabling it to handle large volumes of requests reliably. ... -
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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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Taskmaster
An AI-powered task-management system
Taskmaster is an AI-powered task management system designed to enhance AI-driven software development workflows. The project can be integrated into environments such as Cursor, Windsurf, and other AI coding tools to help structure, track, and execute development tasks more effectively. It uses structured task formats and orchestration logic to coordinate how AI assistants plan and complete work. The system supports multiple model providers through configurable keys, allowing teams to choose their preferred AI backend. Its goal is to bring discipline and repeatability to agent-assisted coding by turning loosely defined prompts into organized execution plans. ... -
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AI Agents From Scratch
Demystify AI agents by building them yourself. Local LLMs
...The project walks through the process of constructing agents step by step, beginning with simple prompt-based interactions and gradually introducing more advanced capabilities such as planning, tool use, and memory. The repository provides example implementations that demonstrate how language models can interact with external systems, perform reasoning tasks, and execute structured workflows. It focuses on explaining the architecture of agent systems rather than simply providing finished code, making it useful for developers who want to understand how AI agents actually work internally. By building agents incrementally, the project helps learners grasp concepts such as decision loops, task decomposition, and environment interaction. -
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CodeMachine
CLI tool for multi-agent workflows and automated code generation
CodeMachine CLI is a command-line orchestration engine designed to run coordinated multi-agent workflows locally. It enables developers to transform high-level specifications into production-ready code by managing planning, architecture, implementation, testing, and validation within a unified environment. CodeMachine CLI supports parallel execution through multiple specialized agents, allowing faster development cycles and scalable automation. Built for flexibility, it can handle anything... -
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Amurex
World's first AI meeting copilot
Amurex is an open-source AI-powered meeting copilot designed to act as an “invisible companion” that enhances productivity by automating meeting-related tasks and knowledge capture across professional workflows. It integrates directly into platforms such as Google Meet and Microsoft Teams, allowing it to operate in real time without disrupting the user’s existing environment. The system leverages advanced AI to generate live suggestions during meetings, helping participants respond more effectively and stay aligned with discussion goals. ... -
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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. -
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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. -
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Mito
AI-powered Jupyter spreadsheet that converts workflows into Python
...Mito also integrates with tools like Streamlit and Dash, enabling users to embed interactive spreadsheet functionality into apps with minimal setup. Built for analysts, developers, and teams, it simplifies automation, reduces repetitive tasks, and accelerates the transition from data exploration to reusable code. -
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AIGCPanel
One-stop AI digital human system with video voice synthesis tools
...AIGCPanel also includes tools for synchronizing lip movements with generated speech, enabling more realistic digital avatar videos. Built using modern desktop technologies, it delivers a cross-platform experience while maintaining a graphical interface for monitoring tasks and logs. -
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Paperless-AI
AI-powered document analysis and tagging for Paperless-ngx
Paperless-AI is an AI-powered extension designed to enhance document management within Paperless-ngx by automating analysis, classification, and organization tasks. It continuously monitors incoming documents and processes them using various AI backends, enabling automatic assignment of titles, tags, document types, and correspondents. It integrates with multiple OpenAI-compatible services as well as local models, giving users flexibility in how document intelligence is handled. A key capability is its use of retrieval-augmented generation, which enables semantic search and natural language interaction across an entire document archive. ...
