Search Results for "terminals"
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Showing 13 open source projects for "terminals"
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1
Freebuff
The free coding agent
...Specialized agents divide tasks such as context gathering, implementation, research, and validation. The desktop app can run multiple agents in isolated local workspaces. Web and cloud editions provide hosted sandboxes, previews, terminals, and deployment workflows. The platform also offers a curated model catalog and can connect locally installed coding agents in supported environments. -
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Grok CLI
An open-source AI agent that brings the power of Grok
Grok CLI is a command-line interface built around the Grok AI model that brings programmatic and conversational AI capabilities directly to developer terminals. It lets you run Grok queries from your shell, scripting environment, or automation workflows without switching to a browser, enabling utility in scripting, quick data exploration, code generation, and assistant-guided tasks directly where you write code. The CLI supports streaming responses, so outputs appear in real time as the Grok model generates them, making interactions feel responsive and fluid in terminal contexts. ... -
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DSH Desktop
A modern desktop solution built for the DeepSeek Harness (DSH) plugin
DSH Desktop is an open-source native desktop client that packages DeepSeek Harness into a ready-to-use Windows and macOS application. It combines the upstream local Web UI, Host service, and plugin system with desktop windows, system tray controls, terminals, updates, and workspace configuration. The app automatically starts and manages the local Harness service without requiring Node.js or terminal commands. Its architecture treats the desktop shell itself as a plugin alongside models, tools, interfaces, and workflows. An integrated community marketplace supports discovering, installing, and managing compatible plugins. ... -
4
ProxyPal
A desktop app that lets you use your AI subscriptions
...By wrapping a CLI-based proxy API with an intuitive graphical interface, ProxyPal bridges your paid AI services into environments that don’t natively support them, allowing tools like text editors, terminals, and IDE plugins to route requests through a centralized proxy endpoint. This enables developers to use their own AI credentials and models consistently across different clients while monitoring usage, token counts, and performance in real time. ProxyPal detects installed AI clients and partially auto-configures settings, tracks analytics like success rates and response times, and supports multiple OS platforms. -
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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5
Bytebot
Bytebot is an AI desktop agent that automates computer tasks
...It typically includes capabilities for code generation, refactoring suggestions, automated testing assistance, and integration with source control systems to make commits or generate pull requests guided by natural language prompts. Bytebot can be embedded into editors, terminals, or CI/CD pipelines to provide contextual recommendations, highlight quality issues, and propose fixes based on understanding of code and project context. The framework is often extensible, allowing teams to define custom commands, workflows, or plug-ins that connect to internal APIs, coding standards, or proprietary repositories. -
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Kilo Code
Gives you a whole dev team of AI agents in your code editor
...With features like automatic failure recovery, hallucination-free code, and deep context awareness, Kilo ensures reliable and accurate outputs. Developers can install Kilo across terminals, VS Code, and JetBrains editors for seamless integration into existing workflows. The platform also provides parallel agents, smart autocomplete, one-click deployment, and automated code reviews. As the #1 agent on OpenRouter with 750,000+ users, Kilo has become a trusted companion for agentic engineering at scale. -
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dsh-web
DeepSeek Harness (DSH) Web
...Tasks can be organized on a multi-column board and scheduled for real execution through cron expressions. Remote features support paired mobile or desktop access, while SSH tools provide terminals, file transfers, tunnels, and multi-host commands. A workshop system also distributes community plugins, themes, skins, and visual assets. -
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AionUi
Free, local, open-source Cowork for Gemini CLI, Claude Code, Codex
AionUi is an open-source, cross-platform graphical interface that turns command-line AI tools into a unified coworking desktop for interacting with multiple local AI agents and CLI models like Gemini CLI, Claude Code, Codex, Qwen Code, and others. Instead of forcing users to work in separate terminals for each tool, AionUi automatically detects installed CLI tools and provides a central visual workspace where sessions can run in parallel, contexts are preserved, and conversations are saved locally without sending data to external servers. It enhances productivity by offering smart file management features like batch renaming, automatic organization, and intelligent file classification, thereby reducing manual overhead when working with large datasets or complex document structures. ... -
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Munder Difflin
local multi-agent harness
...A central orchestrator called Michael routes tasks, resolves routine coordination, and escalates sensitive actions for human approval. Agents communicate through local mailboxes, share a blackboard, and retain long-term memory across sessions. The app provides live terminals, task management, Git tools, cost telemetry, and optional per-agent worktrees. It supports major coding agents, bring-your-own keys, local LLMs, and desktop builds for macOS, Windows, and Linux. -
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10
Rakazo
Open-source Grok Bot alternative. Choose your own model and sandbox
Rakazo is an open-source platform for running persistent AI teammates across web, desktop, and mobile clients. Each bot maintains its own conversations, memory, routines, and history instead of acting as a disposable chat session. Bots can use browsers, terminals, files, and graphical desktops through shared team computers or isolated private environments. They can delegate work to peer bots or temporary subagents and can use user-provided model credentials. Integrations are available through Composio, Pipedream Connect, remote MCP servers, OpenAPI tools, and other supported sources. Computer backends include local Docker plus E2B, Daytona, Box, and trusted local machines. ... -
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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. The platform includes built-in monitoring capabilities so users can observe the activity of each agent, receive notifications when tasks are completed, and quickly review changes produced by automated coding workflows. ... -
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DSH Web UI
Plugin and skin collection for DeepSeek Harness (DSH) Web UI
...Users can add a task board that executes real agent sessions and supports scheduled jobs through cron expressions. A Git graph visualizes branches and commit history, while additional panels provide files, editing, terminals, Git operations, and browser access. Remote access lets paired phones or computers control sessions, models, permissions, and conversations with live synchronization. The suite also includes SSH administration, image understanding, specialized agent presets, visual themes, and optional desktop pets. -
13
Fulling
Full-stack Engineer Agent. Built with Next.js, Claude, shadcn/ui
...It integrates an AI pair programmer that can generate code, implement features, and assist with debugging tasks through natural language instructions. The environment also includes web-based terminals, file management tools, and version control capabilities to support collaborative software development workflows. Developers can connect external services by simply providing API credentials, allowing the AI system to automatically integrate features such as authentication or payment processing.
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