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Phasr

Run 100+ workflows simultaneously without losing context

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What is Phasr?

Phasr is a free, open-source AI code editor designed to run multiple coding agents in parallel whilst maintaining clean isolation and human oversight. It orchestrates various AI models including Claude, Codex, Cursor, and Copilot, letting you execute 100+ workflows simultaneously without code conflicts or lost context. Each workflow operates in its own Git worktree, ensuring changes remain separate until you review and merge them. The tool provides real-time diffs and a built-in human review interface, giving you visibility and control over what every agent is doing. This makes it useful for developers who want to run multiple code generation or refactoring tasks at once, compare different AI approaches, or scale up coding work without losing track of changes.

Key features

Parallel workflow execution

run 100+ agents at the same time

Git worktree isolation

each workflow gets its own isolated code environment

Multi-agent orchestration

supports Claude, Codex, Cursor, Copilot, and more

Real-time diffs

see exactly what each agent is changing as it happens

Human review interface

approve, reject, or modify changes before merging

Context preservation

agents maintain state and communication across parallel tasks

Pros & cons

Advantages

  • Free and open-source with no licensing costs
  • Handles massive parallelisation without losing track of changes
  • Git-native isolation prevents conflicts and keeps work organised
  • Real-time visibility means you're never blind to what agents are doing
  • Built-in review workflow puts humans in control of the final code

Limitations

  • Steep learning curve if you're not comfortable with Git worktrees
  • Open-source support relies on community rather than dedicated teams
  • Managing 100+ parallel workflows requires careful coordination and planning
  • No built-in hosting; you need to set it up locally or on your infrastructure

Use cases

Running large refactoring tasks across multiple code sections simultaneously

Comparing different AI approaches to the same problem in parallel

Automating repetitive coding tasks at scale whilst maintaining quality control

Code generation and scaffolding where multiple agents explore different solutions

Testing and validating AI-generated code before merging to main branches

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Pricing

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Free

Unlimited workflows, full access to all features, open-source codebase

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Get Phasr
  • Always free
  • No credit card