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Help AI coding agents understand projects, assess changes, and review diffs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ProjectBrain" yet — see the docs or source repo.
Generate a project context pack for the current repository. Summarize the system architecture, core modules, key dependencies, main entry files, and recently active code areas so an AI coding agent can quickly understand the project.
A structured project overview with architecture, module relationships, key files, and code focus areas.
I plan to change the token refresh logic in the authentication module. Analyze which services, APIs, test files, configuration items, and risks may be affected, and list the related code locations that should be checked.
An impact analysis report listing affected components, risk points, dependency chains, and recommended validation checks.
Review the current git diff. Focus on breaking changes, missing tests, API compatibility issues, duplicated logic, or potential defects, and provide recommendations ranked by severity.
A code review result with issue list, severity levels, explanations, and fix recommendations.
Give CLI coding agents persistent memory, dependency awareness, and architecture constraint validation.
Maintain persistent project understanding across chats with code search and memory.
Store, search, and summarize codebase notes during coding sessions.
Generate project context maps for AI coding agents to inspect repositories and log changes.
Give AI coding agents project memory, workflow intelligence, and optimized context.
Make project docs instantly accessible so Claude Code understands architecture and conventions.