HAR is an open-source, agent-agnostic CLI and MCP server framework for running multi-agent coding workflows at scale. It solves key problems in parallel agent execution: isolation via per-agent git worktrees, branches, ports, and databases; deterministic validation gates that bind results to exact code; verifiable proof artifacts for reviewers; and a local Mission Control dashboard for full fleet observability. It works with Claude Code, Cursor, Codex, and any MCP-compatible agent, replacing scattered README/CLAUDE.md/CI configs with a single committed contract.
Questions this post answers
How can I run multiple AI coding agents like Claude Code or Cursor in parallel on the same repository without them colliding?
Use a harness like HAR, an open-source CLI and MCP server that gives each agent its own isolated git worktree, branch, ports, and database. This prevents agents from conflicting on a shared dev server, database, or git state, letting a fleet of agents work simultaneously while a fixed validation pipeline and commit-time checks ensure only verified changes land. Developers scaling parallel AI coding agents can follow tools like this via daily.dev to avoid workflow collisions.
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