Unstoppable AI
Unstoppable is a desktop agent IDE for software developers and engineering teams working with AI coding agents. It brings Claude Code, Codex, Cursor, and other command-line agents into one workspace, where tasks can run in parallel across repositories with separate Git worktrees, terminals, and browser tabs. Users can create repeatable workflows for code review, issue triage, ticket planning, and other development tasks, and connect project context through GitHub, Linear, and Model Context Protocol (MCP) servers. The desktop app is available for macOS and Windows, with web agents and a mobile companion for remote access to workspaces. App features are free; agent usage can rely on a user's existing provider subscription or optional AI credits.
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Straion
Straion is an AI-first platform designed to ensure coding agents follow an organization’s engineering standards by automatically injecting the right rules and validating plans before code is written. It addresses a common problem in AI-assisted development: tools like Claude Code, Cursor, and GitHub Copilot often move quickly but lack awareness of company-specific architecture, security, and compliance requirements. Straion centralizes these standards into a single rule hub and dynamically selects the relevant rules for each task so AI systems receive the proper context automatically. Its workflow allows teams to define rules once, install the Straion skill or CLI, and have agents fetch the correct guidance before starting work. It also validates AI-generated plans against company policies early in the process, helping teams catch violations before they reach code review and waste tokens or engineering time.
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AtomCode
AtomCode is an open source AI coding agent that lives in the terminal and autonomously reads files, edits code, runs commands, searches the web, executes tests, and self-verifies until a task is complete. It is designed as a multi-model alternative to tools such as Claude Code and Cursor Agent, supporting Claude, OpenAI, DeepSeek, GLM, Qwen, Ollama, SiliconFlow, and any OpenAI-compatible API. Its built-in code graph tools provide symbol indexing, reference lookup, caller and callee tracing, dependency analysis, and blast-radius analysis to help the agent understand large codebases more deeply than basic text search. Developers can attach screenshots and images, while vision preprocessing can extract useful context when the selected primary model does not support images directly. AtomCode integrates natively with AtomGit for OAuth login, repository management, issues, and pull requests, and supports MCP, reusable Skills, plugins, custom slash commands, hooks, and workflows.
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Conductor
Conductor lets you run a team of coding agents on your Mac, giving each Claude Code or Codex agent its own isolated workspace so you can parallelize software work without losing control. Add your repo, and Conductor clones it and works entirely on your Mac. Deploy agents, and each one gets a separate git worktree where it can work independently. Then conduct: see who is working, what needs attention, review code, and merge finished branches. Conductor is built around the idea that developers are becoming AI managers, coordinating many agents at once instead of working through a single chat. It supports Claude Code and Codex, with model selection, Plan Mode, Fast Mode, reasoning controls when available, checkpoints, skills, and agent-specific session controls. Plan Mode asks the agent to make a plan before editing files, making it useful for broad, risky, ambiguous, or multi-file changes.
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