Multi-Agent

Run an open-source AI agent from desktop or CLI to inspect a project, edit files, and run tests with your choice of model, approvals, and MCP tools.

Suits you if:Best for an individual developer or small team that wants an AI agent to complete an inspectable task in a working copy: understand files, make a bounded change, and run a test. Start with manual approval and scope the folder and tools. Do not give it broad access to production or sensitive data.

Turn project tasks, agent plans, and acceptance criteria into reviewable Markdown files and a local Kanban board that can be tracked with Git.

Suits you if:Best for an individual developer or small team using coding agents and wanting to review the specification and plan before code. It keeps tasks, acceptance criteria, and decisions inside the project and exposes them through CLI, a local browser, or MCP. It is not a replacement for a centralized enterprise SaaS board with organization-wide permissions and reporting.

Universal ✓Codex ✓Claude Code ✓Local

A DeepSeek Harness task board that ties Kanban cards to real DSH sessions, with Host scheduling, run history, and elevated-permission confirmation.

Suits you if:Best for a developer or small team using DSH for recurring or connected work and wanting task state and execution evidence in one record. It pins the project, agent preset, and permission, then runs manually or through Host cron with a human gate for elevated access. It is not a fit for a frequently sleeping machine or unreviewed sensitive automation.

A DeepSeek Harness plugin that adapts Superpowers skills for design, planning, testing, debugging, and review.

Suits you if:Best for DSH users who want reusable development workflow skills in their profile. It does not automate model or effort routing.

Superpowers guides coding agents from clarifying your request to planning, testing, and review, so you can inspect what changed and why.

Suits you if:Best for a developer or project owner working on a substantial feature or a difficult bug. It helps clarify requirements, approve a plan, and inspect tests and file changes. Its value is a visible path from decision to verification. A small text edit may not need the full workflow.

Claude Code ✓Codex ✓Cursor ✓Local

Coordinates a team of agents in DSH to split work and track progress.

Suits you if:For development work that can be divided into dependent tasks and reviewed as a plan before agents start. Monitor outputs and model costs; team state is not coordinated across separate processes.