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Octopus vs ReviewSensei

Octopus

octopus-review.ai

ReviewSensei

reviewsensei.dev

Side by side

FigureOctopusReviewSensei
Price fromFree—
Free planYes—
Free trial——
Open source——
WebYesYes
WindowsYesYes
macOSYesYes
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published50
Spec score · Code review software8.6 (#11)7.4 (#42)
Data handlingHosted Octopus stores review and indexing data; review findings remain for the PR lifetime plus 90 days after closure, while indexed embeddings remain as long as the repository is connected.The core does not persist raw prompts or provider responses; published comments, artifacts, approved learnings, and provider-side copies have separate retention locations.
What it doesOctopus indexes a complete codebase and automatically reviews pull requests with context-aware, severity-rated inline findings.ReviewSensei is an open-source engine for AI reviews of GitHub pull requests using repository-owned knowledge, configurable review stages, and explicit coverage.

Plans

Octopus

  • Cloud Free TierFree
  • Self-HostedFree
  • Self-HostedFree
  • Cloud Usage-BasedPriced on request
  • Cloud Usage-BasedPrice not published

Octopus pricing →

ReviewSensei

No plans published.

ReviewSensei pricing →

In their own words

Octopus

Octopus indexes a codebase and uses that context to review pull requests automatically. When a pull request opens, it retrieves related indexed code through vector search and sends the changes and context to a configured language model. Findings receive severity ratings and appear as inline comments. The GitHub integration also reviews updates, posts check runs, and can create issues from findings. Octopus supports GitHub, GitLab, Bitbucket, and Forgejo, and includes source-cited codebase chat plus a CLI for reviews, context queries, and repository checks. Teams can use knowledge-base documents to guide reviews, with rules, repositories, and reviewer settings shared across an organization. AI options include providers such as Anthropic Claude, OpenAI, Google, xAI Grok, Alibaba Qwen, Cohere, and OpenRouter. It can be self-hosted with Docker Compose, PostgreSQL, and Qdrant, with optional local models and embeddings through Ollama. The cloud service stores review and indexing data; findings persist through the PR lifetime and 90 days after closure, while indexed embeddings remain as long as a repository is connected. Free self-hosted and cloud tiers are listed. Live team telemetry requires a paid organization.

Visit octopus-review.ai

ReviewSensei

ReviewSensei has no write-up on Specifiction yet; its figures are above.

Visit reviewsensei.dev