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Halv vs Repowise

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Halv compared with Repowise
DetailHalv logo HalvRepowise logo Repowise
What it doesMulti-model desktop workspace with cost optimization through agent routing Codebase intelligence platform for AI agents and teams
StageNot given Startup
FoundedNot given 2024
Based inNot given Not given
Pricing modelFreemium Freemium
PricingDesktop app: Free and open source (Apache 2.0). Halv Cloud: US$10 per month. Free: 2 public repos, 10 AI answers/month. Pro: $15/month (moving to $20/month in November, or $16/month yearly), includes private repos, auto-sync on every push, security scanning, $5/month AI credits. Teams: $20/seat/month with 3-seat minimum, includes 25 shared repos, shared $5/seat/month credit
Key features
  • JEV agent routing for automatic model and reasoning selection
  • Support for Claude Code, Codex, Kimi, and GLM models
  • Synced savings dashboard
  • History across machines
  • Automatic account rotation
  • Code navigation via Crux
  • Command output filtering via RTK
  • Model context processing via Headroom
  • Cross-platform support for macOS, Windows, Linux
  • Code health scoring with defect prediction
  • Blast radius and change impact detection
  • Auto-generated documentation rebuilt on every commit
  • Git intelligence: hotspots, owners and coupling detection
  • Architecture and decision tracking
  • MCP tools for Claude Code and Cursor
  • PR bot with change review and test detection
  • Security scanning: CVEs, secrets and reachability
  • Dead code detection and unused exports
  • Change Records with policy enforcement
What makes it different
  • 57.1% lower recorded model costs compared to vanilla Codex on benchmark runs
  • Free and open source desktop app under Apache 2.0 license
  • Agent routing included with Halv Cloud at no additional fee
  • Single workspace for multiple AI coding models
  • Matched vanilla Codex pass rates with lower cost
  • Open source under AGPL-3.0, self-hostable with no LLM calls required to build the index
  • Every published benchmark includes sample size, corpus and statistical methods
  • Code health scores trained on years of real commits and defect fixes, with 0.74 AUC prediction accuracy
  • Eliminates need to switch tools: integrates with Claude Code, Cursor, VS Code, GitHub and team dashboards
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)19 +1 (up) since last check10 no change since last check
Trust Flow (Majestic)38
Citation Flow (Majestic)2434
Referring domains (Majestic)57244

5 details filled in for both companies.

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