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Kimchi Coding vs Interlok

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

Kimchi Coding compared with Interlok
DetailKimchi Coding logo Kimchi CodingInterlok logo Interlok
What it doesThe governed AI coding platform Lockout/tagout for AI agents: risky actions stop, a person decides, and a signed record proves it
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelFreemium Freemium
PricingOpen source: Free download, bring your own inference. Coder: $20/mo (includes $25 monthly credits). Teams: $35/seat/mo (includes $45 monthly credits). Enterprise: Custom pricing. Code Review add-on: $15/user/mo. Free: risk scan, 100 approvals per month, offline verification. Approvals: $99/month, unlimited approvals. Gate: $799/month (includes Approvals). Evidence: from $18K/year. Regulated: from $40K/year.
Key features
  • Multi-model routing automatically orchestrates models by task type and cost
  • Hard spending limits enforced by user, team, API key, or model
  • Autonomous /ferment workflow breaks tasks into milestones and delivers PRs
  • Evaluator grades output against original intent before shipping
  • Kimchi Studio visual workspace for watching and guiding parallel agent tasks
  • Teleport hands off sessions to persistent cloud sandbox workspaces
  • AI-powered code review with inline findings and severity scoring
  • VS Code extension brings harness into IDE with governance controls
  • One-command migration from Claude Code and OpenCode
  • Deploy serverless or in your VPC for full data sovereignty
  • Risk scan of agent reach, capabilities and consequences
  • Policy-as-code for gating rules
  • Shadow mode to preview holds before enforcement
  • Human-in-the-loop approvals via console
  • Cryptographically signed audit ledger
  • Compliance framework packs
  • Inference receipts for model calls
  • GitHub merge check for agent-written PRs
  • Directory sync with Okta or Microsoft Entra
What makes it different
  • One enforcement layer for security, governance and cost controls across all agent requests
  • 50+ open-source and open-weight models with zero lock-in
  • Data sovereignty by design: prompts, code and outputs excluded from model training
  • Real-time cost attribution per developer, team, model and tag
  • Get started in 60 seconds with no lock-in or credit card required
  • Gates actions, not agents—routine calls pass through untouched
  • Low published latency overhead: p50 8ms, p95 25ms for allowed verdicts
Community votes10
DR (Domain Rating by Ahrefs)41 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)140
Citation Flow (Majestic)330
Referring domains (Majestic)1860

6 details filled in for both companies.

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