shikigami.dev's rivals

Provides an open-source environment to run coding agents like Claude Code and Codex. It allows parallel execution of agents, work scheduling, and change review. Supports macOS, Windows, and Linux.

Provides an integrated development environment for macOS to run multiple AI agents like Claude, Codex, Gemini, and others concurrently. It uses isolated worktrees, diff, and code review features. Agentic Development…

Enables parallel execution of multiple AI agents for coding. It helps review AI edits to create production-ready code faster. Developers can join a community for support.

Runs AI coding agents in parallel Git worktrees with a desktop workspace for project management and code review.

Provides a local desktop application for managing AI coding agents in parallel. The application includes isolated Git worktrees and automation tools.

Code editor built on VS Code to run multiple AI agents in parallel within isolated Git worktrees.

Runs multiple AI coding agents in parallel with terminal coordination, voice dictation, and cross-device loops.

Manages multiple coding agents from a single workspace, allowing side-by-side execution with automated peer reviews.

Delegates work to multiple coding agents concurrently and organizes completed commits in a single inbox for review.

Enables teams and AI agents to collaborate simultaneously in a single live coding session with a shared task board.

Runs multiple coding agents in parallel across isolated git worktrees on macOS.

Runs multiple agents side by side in a repository with dedicated workspaces, terminal sessions, and Git integration.

Spawns AI coding agents in isolated git branches and monitors them simultaneously.

Allows running teams of coding agents in isolated cloud environments. Users can share workspaces and prompt agents together in real-time.

Facilitates agentic engineering by transforming prompts into executable specifications. It validates code correctness and supports building across large codebases using parallel agents that learn from each session. It…

Provides a local control plane for multi-agent coding sessions. It discovers, boots, snapshots, restores, and visualizes coding session topologies. The system creates persistent, organized teams from AI coding agents…

Desktop workspace to run multiple AI coding agents side by side.

Manages multiple AI agents within a single workspace featuring terminals, browsers, and notes on an infinite canvas.

Coordinates multiple AI coding agents on a live board to plan, build, test, and review software projects.

Coordinates AI coding agents with a review standard and organizational memory for engineering teams.

Combines multiple local coding agent interfaces into a single timeline on the machine.

Runs multiple command-line interface tools in parallel within separate git worktrees.

Provides a terminal-based interface for managing AI coding agents. It offers features like status monitoring, project tree navigation, a prompt bar, and a diff reviewer for agent interactions.

Macintosh IDE for coordinating coding agents with parallel lanes, team chat, multi-repo workspaces, and automation.

Provides a live, prioritized board with leases, dependencies, and verification to coordinate coding agents.

Creates specialist AI coding agents on macOS with parallel sessions and GitHub integration.

Runs multiple coding agents in one workspace, tracking progress and highlighting items needing attention.

Manages AI coding agents from a local Kanban board to run tasks in parallel and review changes.

Provides task and terminal management for running coding agents. It supports features like per-task Git worktrees and sandboxing.

Provides an interface for building, directing, and improving AI agents. It allows control over agents like Grok, Claude, Codex, Copilot, Cursor, and Opencode. Concurrent agent subagents are supported.

Provides a control plane and isolated local sandboxes to run and review AI coding agents.

Open-source local and cloud coding agents to run tasks in parallel and review changes.

Runs multiple AI agents on a local machine using existing subscriptions, avoiding token consumption for simulation. It aims to provide a multi-agent harness within a terminal interface.

Connects repositories in one project, attaches them to tasks, and delegates to coding agents with isolated Git worktrees.

System of agents that converts customer requests into tickets, code changes, pull requests, and code reviews.

Supervises AI coding agents with versioned planning, parallel execution, and result verification.