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OpenQodex vs Rulebook

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

OpenQodex compared with Rulebook
Detail OpenQodexRulebook logo Rulebook
What it doesOpen source code review inside your coding agent before you push Take your AI support bot from 4/10 to 10/10
StageStartup MVP
Founded2024 2026
Based inUS Not given
Pricing modelOpen source Free trial
PricingFree. Open source under Apache 2.0 license. Free during beta. After beta: $29/month (your own AI keys, unlimited runs) or $59/month (AI included, 50 runs/month).
Key features
  • 22 built-in scanners for secrets, security, dependencies and lint errors
  • Code graph showing callers and importers of changed code
  • Separate reviewer process using Claude Code or Codex
  • Script-based validation of review completeness
  • Works with Claude Code, Cursor, Codex and Cline
  • Terminal, agent and CI integration
  • GitHub Action for pull request reviews
  • Pre-commit and pre-push hooks
  • Custom scanner configuration from GitHub
  • No telemetry or data collection
  • Bot Score: rates bot performance across five dimensions (rules, facts, solutions, tone, trick resistance)
  • Break my bot: 15 adversarial customer scenarios test for vulnerabilities
  • Fix it for me: automatically rewrites rule sheet and tests against saved situations
  • Train my bot: 30-minute automated training on weak spots with test validation
  • GitHub integration: sends improvements as pull requests for engineer approval
  • Real chat analysis: identifies problems in actual customer conversations with privacy masking
  • Knowledge check: validates bot replies against FAQ and policy documents
  • AI comparison: test bot performance across Claude, ChatGPT, and Gemini with costs and speed
  • Open source engine: public GitHub implementation of scoring and testing algorithms
What makes it different
  • No API key, account or server required - runs entirely on your local machine
  • Separate reviewer process with no memory of the coding session that produced the code
  • Open source Apache 2.0 license with full transparency
  • Integrated directly into coding agents without additional configuration
  • Findings only on changed lines, not whole repository
  • Nothing ships without engineer approval: all changes go through GitHub pull request review
  • Privacy by default: customer data anonymized, keys encrypted, uploads not stored
  • Open source testing engine: full algorithm transparency available on GitHub
  • Works with your existing AI: supports Claude, ChatGPT, and Gemini with user's own keys
  • Unified team experience: one plan covers support, product, and engineering roles
Community votes00
DR (Domain Rating by Ahrefs)43 +2 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)170
Citation Flow (Majestic)220
Referring domains (Majestic)3160

7 details filled in for both companies.

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