H

HAR

Open Source harness for multi-agent coding workflows

Dev ToolsOpen Source

HAR is an open-source, agent-agnostic harness for running fleets of coding agents in parallel across repositories. Each agent gets an isolated environment; changes pass deterministic validation gates and produce verifiable evidence, with full observability through a local dashboard called Mission Control. All configuration lives in a single committed contract file instead of scattered READMEs and per-tool config. Works with Claude Code, Cursor, Codex, and any MCP agent; installed via npm as @osfactory/har. Apache-2.0, 63 GitHub stars at time of check.

What is HAR?

HAR is an open-source, agent-agnostic harness for running fleets of coding agents in parallel, with isolated environments, deterministic validation gates, and a verifiable evidence trail per run.

Key features

  • Isolated git worktree, branch, ports, and database per agent
  • Deterministic launch/verify/teardown pipeline
  • Verifiable proof artifact per run (not just a self-report)
  • Local dashboard (Mission Control) for observability across repos and runs
  • Single committed contract file instead of scattered config
  • Works with Claude Code, Cursor, Codex, and any MCP agent
  • Apache-2.0 licensed, installed via `npm install -g @osfactory/har`

Who it's for

  • Teams running more than two coding agents in parallel on the same repository
  • Reviewers who need proof a change was actually validated, not just a diff
  • Projects that keep hitting merge or port collisions between concurrent agents

When not to use it

Not worth the setup overhead if you run a single agent interactively — the contract file and verify stage buy you nothing at that scale.

FAQ

Which coding agents does HAR support?

Any MCP-compatible agent, including Claude Code, Cursor, and Codex — it's agent-agnostic.

How does HAR prevent agents from stepping on each other?

Each agent runs in its own isolated git worktree with a dedicated branch, ports, and database.

Open SourceDeveloper ToolsArtificial IntelligenceAI Coding Agents
Submitted by Antoine FrauGitHubLaunched August 24, 2026

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