OpenAI Codex
5.0 out of 5 stars
(1 Rating)
Codex is an AI-powered coding agent from OpenAI designed to help developers build, manage, and ship software more efficiently across the entire development lifecycle. It acts as an intelligent pair programmer that can understand codebases, generate features, and deliver production-ready pull requests. Codex can safely execute commands in sandboxed environments while assisting with debugging, refactoring, and testing. A key advancement is its computer use capability, allowing it to operate your computer by seeing, clicking, and typing across applications. This enables Codex to interact with tools that don’t have APIs, making it useful for tasks like frontend testing and app navigation. The platform also includes an in-app browser and integrations with various developer tools for a more unified workflow. Codex supports automation by handling ongoing tasks such as monitoring, issue triage, and follow-ups.
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antgrid
Antgrid brings the coding agents on all your machines into one desktop app. Every session on every machine, in one list. Turn on remote access on a machine and open its sessions from another, review the agent's changes and commit.
It runs the CLI you already installed: Claude Code, Codex, opencode, Cursor, Copilot, Antigravity, Kilo, Kimi and Mistral Vibe. Each agent loads its own config, skills, hooks and MCP servers.
Handler takes the follow-ups on long-running Claude Code, Codex and opencode sessions. It asks for evidence before it closes a step and brings you the questions only you can answer.
Traffic between your devices is end-to-end encrypted. With no direct route, a relay forwards the encrypted packets without a key to them. Antgrid's servers never see your code, prompts or terminal output.
Windows and Android. Free during the beta. The source is public, and most of it is open source: the app, bridge and wire protocol are MPL-2.0; the relay and account service are ELv2.
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RA.Aid
RA.Aid is an open source AI assistant that autonomously handles research, planning, and implementation to expedite software development processes. Built on LangGraph's agent-based task execution framework, RA.Aid operates through a three-stage architecture. RA.Aid supports multiple AI providers, including Anthropic's Claude, OpenAI, OpenRouter, and Gemini, allowing users to select models that best fit their requirements. It also features web research capabilities, enabling the agent to pull real-time information from the internet to enhance its understanding and execution of tasks. It offers an interactive chat mode, allowing users to guide the agent directly, ask questions, or redirect tasks as needed. Additionally, RA.Aid integrates with 'aider' via the '--use-aider' flag to leverage specialized code editing capabilities. It is designed with a human-in-the-loop interaction mode, enabling the agent to seek user input during task execution to ensure higher accuracy.
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bolt.diy
5.0 out of 5 stars
(1 Rating)
bolt.diy is an open-source platform that enables developers to easily create, run, edit, and deploy full-stack web applications with a variety of large language models (LLMs). It supports a wide range of models, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform offers seamless integration through the Vercel AI SDK, allowing users to customize and extend their applications with the LLMs of their choice. With its intuitive interface, bolt.diy is designed to simplify AI development workflows, making it a great tool for both experimentation and production-ready applications.
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