Octopus vs ThinkReview

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.

ThinkReview provides AI code reviews in a browser sidebar on pull and merge request pages. It supports GitHub, GitLab, Azure DevOps, and Bitbucket, including several self-hosted editions. Reviews can suggest code-quality improvements, analyze security, recommend best practices, score quality, and answer follow-up questions. Developers can discuss a change, edit a review comment, and post it themselves; nothing is written to a pull request until they choose to post. Users can define review standards and create agents tailored to a project's technology stack. ThinkReview MCP supports live PR reviews from Cursor, Claude Code, and Copilot, with structured feedback. With Ollama, reviews can use local models without sending patches to the cloud, including on air-gapped machines. The Free plan is for individuals and includes two daily review credits for small PRs up to 1,000 lines of code changes. Lite costs $10 a month and Professional costs $16 a month. Cloud conversation data may be retained for up to 90 days. Trial terms differ between the pricing FAQ and homepage pricing section.