Search Results for "chandu-workspace"
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Showing 59 open source projects for "chandu-workspace"
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Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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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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AI as Workspace
An elegant AI chat client. Full-featured, lightweight
AI as Workspace, short for AI as Workspace, is an open-source AI client application that provides a unified interface for interacting with multiple large language models and AI tools within a single workspace environment. The platform is designed as a lightweight yet powerful desktop or web application that organizes AI interactions through structured workspaces. -
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Google Workspace CLI
Command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, etc.
Google Workspace CLI (gws) is a command-line tool designed to interact with Google Workspace services such as Drive, Gmail, Calendar, Sheets, and more from a single interface. It dynamically generates its command structure using Google’s Discovery Service, allowing it to automatically support new API endpoints as they become available. The tool eliminates the need for manual REST API calls by providing structured commands and built-in help for each resource and method. ... -
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Odysseus
Self-hosted AI workspace from PewDiePie
...Odysseus can work with local models while still leaving room for external API use when the user chooses. It is especially useful for developers, researchers, and privacy-conscious users who want to consolidate AI work into one self-managed workspace. -
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Google Workspace MCP Server
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms
Google Workspace MCP is an open-source server that connects AI assistants to Google Workspace services through the Model Context Protocol (MCP), allowing large language models to interact directly with productivity tools. The project exposes a wide set of Google services including Gmail, Google Drive, Docs, Sheets, Slides, Calendar, Chat, and other Workspace components as structured tools that an AI system can call programmatically. -
$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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DeepSeek GUI
AI agent workspace for DeepSeek models, with Code and Claw modes
DeepSeek-GUI is an AI agent workspace built for working with DeepSeek models. It provides a graphical environment where users can interact with model-driven workflows instead of relying only on command-line or API access. The project includes Code and Claw modes, which are intended to support software development and agent-style task handling inside the application. -
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AnythingLLM
The all-in-one Desktop & Docker AI application with full RAG and AI
...AnythingLLM is a full-stack application where you can use commercial off-the-shelf LLMs or popular open-source LLMs and vectorDB solutions to build a private ChatGPT with no compromises that you can run locally as well as host remotely and be able to chat intelligently with any documents you provide it. AnythingLLM divides your documents into objects called workspaces. A Workspace functions a lot like a thread, but with the addition of containerization of your documents. Workspaces can share documents, but they do not talk to each other so you can keep your context for each workspace clean. -
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LobeHub
Workspace to find, build, and collaborate with AI agents
LobeHub is an all-in-one workspace designed to help humans and AI agents collaborate, grow, and evolve together. It treats AI agents as true teammates rather than one-off tools, enabling deeper context, continuity, and productivity. Users can build personalized agent teams that understand their workflows, preferences, and goals over time. LobeHub brings multiple models, tools, and modalities into a single unified environment under the user’s control. -
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Kun
AI agent workspace with Code and Write modes built into your apps
Kun is a desktop AI agent workspace focused on a requirement-first coding workflow. Instead of starting with a vague prompt and immediately changing files, it guides users through requirement clarification, design, planning, todos, implementation, and review. The application includes a Code workspace for real repositories and a Write workspace for Markdown writing, editing, previewing, and exporting. -
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Claw3D
Claw3D is an open source 3D engine built on OpenClaw
...The system supports task assignment, progress tracking, and communication between agents, creating a representation of autonomous or semi-autonomous workflows. It can be self-hosted, giving users full control over deployment, customization, and scaling of their AI workspace. -
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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Superset LLM
Run an army of Claude Code, Codex, etc. on your machine
Superset is a development environment and terminal-based platform designed to orchestrate multiple AI coding agents simultaneously within a single workspace. The tool enables developers to run many autonomous coding agents in parallel without the typical overhead of manually managing multiple terminals, repositories, or branches. Each agent task is isolated in its own Git worktree, ensuring that code changes from different agents do not interfere with each other while allowing developers to track their progress independently. ... -
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Hermes Desktop
Desktop Companion for Hermes Agent
...It provides an intuitive graphical interface that eliminates the need to manage Hermes through command-line tools. Users can connect to local or remote Hermes instances while accessing chat, memory management, skills, tools, profiles, and scheduling from a single workspace. The platform supports multiple AI providers, including OpenAI, Anthropic, Google Gemini, Grok, OpenRouter, and local model endpoints. Its real-time streaming chat interface includes markdown rendering, syntax highlighting, tool progress tracking, and token usage monitoring. Hermes Desktop also integrates messaging platforms, automation features, and customizable personas to create a comprehensive AI productivity environment. -
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DenchClaw
Fully Managed OpenClaw Framework for all knowledge work ever
...It can ingest data from sources such as Google Drive, Notion, Gmail, and CRM platforms, consolidating everything into a centralized workspace for analysis and action. One of its most distinctive capabilities is its ability to use the user’s existing browser session, enabling it to log into services, scrape data, and perform actions like outreach or research as if it were the user. -
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PilotDeck
Task-oriented AI Agent productivity platform
PilotDeck is an open-source agent operating system built around the idea of a task-oriented WorkSpace. It is designed to help users manage multi-task AI agent work from a structured productivity environment. The project is jointly developed by Tsinghua University THUNLP, ModelBest, OpenBMB, and AI9Stars. Its goal is to serve as a practical productivity platform for the agent era rather than a simple chat interface. PilotDeck organizes agent activities around work contexts, tasks, and repeatable workflows. ... -
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AgentHub
GitHub is for humans. AgentHub is for agents
...The project functions as a lightweight infrastructure layer that combines a Git repository with a message-board-style communication system, allowing multiple agents to coordinate development tasks within the same workspace. Rather than focusing solely on human collaboration, the system is designed around an “agent-first” paradigm where AI agents can contribute code, discuss changes, and coordinate problem solving. The platform treats code repositories not just as storage for files but as active environments where agents can propose modifications, review changes, and exchange structured messages. ... -
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Team9
Team9 is a collaborative workspace for AI agents
Team9 is an AI-native collaborative workspace designed to deploy, manage, and coordinate autonomous agents as if they were members of a human team, enabling organizations to automate complex workflows with minimal setup. It builds on agent frameworks like OpenClaw and introduces a managed environment where agents can be assigned roles, share context, and execute tasks collaboratively. -
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Big-AGI
AI suite powered by state-of-the-art models and providing advanced AI
...The workspace includes advanced features like Beam, which enables multi-model consensus and comparative responses to improve reliability and reduce hallucination, and robust persona management to tailor responses to specific roles or workflows. Big-AGI can be self-hosted or deployed in cloud environments, giving users full control over data and model access limits and avoiding vendor lock-in. -
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Claude Platform CLI
The CLI for the Claude API
...Users can format, filter, and transform responses directly in the terminal using built-in output controls and GJSON queries. It also supports authentication through interactive login, API keys, profiles, and workspace switching for flexible development environments. Claude Platform CLI is especially valuable for developers, teams, and automation workflows that need efficient terminal-based access to Claude API resources. -
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infinite-canvas
Infinite Canvas Workbench for AI creation integrates AI generation
infinite-canvas is an open-source visual workspace for AI-assisted image creation and iterative creative planning. It combines canvas organization, image generation, reference image editing, chat assistance, prompt libraries, and asset management in one interface. Users can work across multiple canvases, drag and scale nodes, connect ideas visually, use a minimap, undo changes, and import or export work. -
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Kanwas
Shared context board for teams and agents
Kanwas is an open-source shared context board built for teams and AI agents working together in the same workspace. It gives people and agents a common canvas where documents, evidence, decisions, notes, tasks, embeds, and outputs can live side by side. Instead of scattering context across chats, documents, and disconnected tools, Kanwas turns messy collaborative work into a shared visual environment that both humans and agents can read and update. -
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SEO Machine
A specialized Claude Code workspace for creating long-form
SEO Machine is an AI-powered content production system built as a structured workspace for generating long-form, SEO-optimized blog content through automated workflows. It integrates research, writing, analysis, and optimization into a single pipeline, allowing users to produce high-quality articles tailored to search engine performance. The system uses specialized commands and agents to perform tasks such as keyword research, competitor analysis, content drafting, and optimization. ... -
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Coco AI App
Search, Connect, Collaborate, Personal AI Search and Assistant
...The platform emphasizes privacy and supports private deployment so organizations maintain control over their data. Overall, coco-app functions as an enterprise productivity hub that combines unified search, AI assistance, and collaboration features in one workspace. -
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HASH
The best way to use and work with blocks
...HASH does this by combining various different powerful tools together into one simple interface. These range from data pipelines and a graph database, through to an all-in-one workspace, no-code tool builder, and agent-based simulation engine. These exist at varying stages of maturity, and while some are polished, not all are ready for real-world production use. You can read more about our big-picture vision at hash.dev -
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Amazon Q Developer CLI
Chat experience in your terminal
Amazon Q Developer CLI brings an agentic, chat-driven coding assistant to your terminal so you can ask for help, generate code, and perform routine dev tasks with natural language. It blends knowledge of your local workspace with command-line context to suggest commands, explain flags, and scaffold files or workflows. The tool aims to shorten the gap between intent and action by letting you request operations like creating a test, refactoring a function, or drafting a Dockerfile without leaving the shell. It also integrates with common developer flows, offering autocompletion and step-by-step plans before running potentially destructive actions. ... -
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49 Agents IDE
Open-source 2D IDE for managing AI agents in native CLIs
...Instead of relying on traditional tab-based workflows, it provides a spatial interface where terminals, editors, Git views, and monitoring tools coexist as movable panes, enabling users to manage complex multi-agent systems visually and intuitively. The platform is designed to work across multiple machines simultaneously, allowing agents running on different devices or servers to connect to a unified workspace without requiring SSH, which simplifies distributed development workflows. It supports real-time synchronization across devices, meaning users can monitor and control their agents from laptops, tablets, or phones with the same interface. -
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ClaraVerse
Claraverse is a opesource privacy focused ecosystem to replace ChatGPT
ClaraVerse is an open-source private AI workspace designed to give users a unified environment for interacting with large language models, building automations, and managing AI-driven tasks in a self-hosted environment. The platform combines chat interfaces, workflow automation, and long-running task management into a single application that can connect to both local and cloud-based AI models.
