Now in public beta

Run AI coding agents
in parallel

Open-source desktop workspace for multi-agent development. Isolate every task with Git worktrees, review real-time diffs, and merge only what is approved.

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macOS·Free & open source

Phasr - AI Workspace

Files Changed

src/

middleware.ts

auth/

jwt.ts

session.ts

routes/

api.ts

src/auth/jwt.ts

+142−23

import { NextRequest } from 'next/server'

import { verifyJWT } from './auth/jwt'

import { rateLimit } from './lib/rate-limit'

export function middleware(req: NextRequest) {

export async function middleware(req: NextRequest) {

const token = req.headers.get('authorization')

if (!token) return new Response('Unauthorized', { status: 401 })

Agent runningfeat/auth-middleware

Built for teams using

Claude CodeCodex CLIGemini CLIAiderCursorZedVS CodeJetBrainsGitGitHubLinearSupabaseVercelNeovim

Features

Everything needed to orchestrate AI coding agents

A review-first workspace for parallel execution, Git worktree isolation, and controlled merges.

Parallel Execution

Run dozens of agents at once

Launch multiple AI coding agents across independent tasks at the same time. Each agent gets an isolated environment with live status and progress visibility.

Concurrent task execution across agents
Real-time progress tracking and status
Automatic resource management

Parallel Execution

5 tasks · 3 running

Auth middlewareClaude

72%

Rate limitingCodex

45%

Webhook handlerGemini

88%

API documentationClaude

Done

Edge migrationCursor

Queued

Universal Compatibility

Works with any CLI agent

Agent-agnostic by design. If it runs in a terminal, it runs in Phasr. No vendor lock-in, no proprietary protocols, and no forced provider choices.

Compatible Agents

If it runs in a terminal, it runs in Phasr

Claude Code

Anthropic

Codex CLI

OpenAI

Gemini CLI

Google

Cursor Agent

Cursor

Aider

Open Source

OpenCode

Open Source

Isolation

Changes stay isolated

Every agent runs in its own Git worktree. No file collisions, no shared working-directory conflicts, and no forced merges.

Automatic Git worktree creation
Zero-conflict parallel development
Clean merge paths to main

Git Worktrees

feat/auth-middlewarefrom main · 6 files · 4 ahead

feat/rate-limitfrom main · 4 files · 2 ahead

fix/webhook-retryfrom main · 2 files · 1 ahead

Each agent works in complete isolation - zero conflicts

IDE Integration

Open in any editor

One-click deep links into VS Code, Cursor, JetBrains, Xcode, or any editor you prefer. Review and edit agent-generated code in your native environment.

Open Anywhere

One-click deep link into your preferred editor

Code Review

Review changes with clarity

See exactly what each agent changed. File-level diffs, line counts, and approval workflows keep humans in control before anything touches your main branch.

Per-agent file diffs and change summaries
Approve, reject, or request modifications
Side-by-side comparison views

Review Changes

+175−25

middleware.ts

428

auth/jwt.ts

8712

lib/rate-limit.ts

routes/api.ts

125

4 files changed

Blog

Engineering playbooks for AI coding agents

Guides on parallel execution, Git worktree isolation, and human-in-the-loop review workflows.

Engineering

Why parallel agent execution changes everything

Running agents concurrently vs sequentially isn't just faster - it fundamentally changes how teams decompose work. We break down the throughput gains and the orchestration challenges.

Mar 12, 2026Read more

Architecture

Git worktree isolation: how Phasr prevents agents from colliding

Containers are heavy. Branches alone aren't enough. Worktree-based sandboxing gives each agent a clean, isolated copy of your repo without the overhead.

Mar 5, 2026Read more

Workflow

From prompt to PR: designing a human-in-the-loop review pipeline

Real-time diffs, inline annotations, and one-click approvals. How we built a review flow that keeps humans in control without slowing agents down.

Feb 26, 2026Read more

Industry

The multi-model future: why agent orchestration should be provider-agnostic

Different models excel at different tasks. Your orchestration layer shouldn't lock you into one provider - it should let you use the best tool for each job.

Feb 18, 2026Read more

View all blog posts

Start shipping with parallel AI agents

Free, open source, and built for engineering teams that need isolated agent workflows and review-first merge control.