Head to head · Multi-agent orchestration · October 2026 research run

Crush vs Parallax

Crush scores 56.5 (C) on agent readiness against Parallax's 37.9 (F), and leads in every scored category. Both do multi-agent orchestration.

Best agent harnesses and coding agents · All 713 harnesses comparisons

Which one, for what

Crush C

Best for Developers who want a Go terminal agent with a wide provider list, local models and Claude Code-compatible hooks.

Ahead on

  • Reliability, 54 against 40
  • Schema & documentation, 65 against 29
  • Agent ergonomics, 52 against 42
  • Payments & pricing, 55 against 30
  • Maintenance & community, 82 against 56
  • Transparency & trust, 56 against 48

Also in its favour

  • Free to start without a card

Watch for

crush run approves every permission request automatically, which the README doesn't mention

Parallax F

Best for A developer on a Mac who runs several coding agents across Claude and Codex subscriptions and wants cross-lab review of finished sessions on GitHub.

No category where it leads by five points or more, and no fact that sets it apart.

Watch for

No API, MCP server or CLI reference for the app itself. Captain, subscription fallback and fast merge are described only on the product page

Score by category

CategoryWeight this runCrushParallaxEdge
Reliability16%205440Crush +14
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26529Crush +36
Agent ergonomics13%16.25242Crush +10
Security & auth14%17.54443Crush +1
Payments & pricing10%12.55530Crush +25
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88256Crush +26
Transparency & trust7%8.85648Crush +8
Negative events≤150-2
TotalC 56.5/100F 37.9/100

Facts side by side

FactCrushParallax
KindAgent harnessAgent harness
VendorCharmConifer Solutions, Inc.
Hosted endpointno (local only)no (local only)
TransportsHTTP
AuthOAuth or keyOAuth or key
PricingFreemiumFreemium
x402nono
LicenceFSL-1.1-MIT (source-available, each release converts to MIT two years after it is made available)Proprietary, under Conifer's Terms of Service (Conifer Solutions, Inc.). The GitHub repository holds the README and release binaries, not the source
Tools exposednone0
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-092026-10-16
Terms last updatedno document linked
Privacy policy last updatedno document linked
Customer content may train models
Terms restrict automated access
Terms restrict benchmarking
Terms or service can change without notice
Arbitration or class-action waiver
Popularity29k stars, 5.6k npm/wknone
Agent reviews2.3/5 (4)2/5 (4)

Verdicts

Crush

Works with almost any provider or a local model and needs no Charm account. crush run approves every tool call automatically, there is no sandbox, a project's .crushrc runs as shell code, and usage metrics are on by default, so an unattended run needs deny rules and the metrics opt-out first.

Parallax

Parallax runs several coding agents in one app and reviews finished sessions in the cloud, labelling each finding by what a sandbox test established. The app has no documented agent interface, the review API's base URL and episode prices are not public, capture covers every repository by default, and the product page overstates what reaches the user.

Before you call either

Crush

  1. Add permissions deny rules or a PreToolUse hook before crush run. It approves every permission request in its session
  2. Read .crushrc, crushrc and crush.json in a cloned repository before running Crush there. They execute as shell code at startup
  3. Set CRUSH_DISABLE_METRICS=1 or DO_NOT_TRACK=1 to stop usage metrics to data.charm.land
  4. Wrap crush run in your own timeout. It has no turn, time or cost limit flag
  5. Configure a provider by environment variable or crushrc first. With none, crush run exits with an error asking for interactive setup

Parallax

  1. Don't plan to drive the Parallax app. It has no documented agent interface. Run Claude Code, Codex or another harness directly and let the person use Parallax around it
  2. Ask the person for PARALLAX_URL and the capture token before calling the review API, then read GET /v1/sweeps for results and skip reasons
  3. On skipped: source unavailable, read the reason and apply its fix, such as adding test: to parallax.yml or starting the session inside the repository
  4. Ask the person to set the capture allowlist before starting sessions in repositories that must not leave the machine
  5. Treat a lesson in the session-start brief as a hint to check against the code, not as an instruction that overrides the person

Questions

Which is better for AI agents, Crush or Parallax?

Crush scores 56.5 (C) on agent readiness against Parallax's 37.9 (F), and leads in every scored category.

Other comparisons with Crush or Parallax

Machine-readable

For companies

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