A system-architecture agent that uses a project memory bank to guide design decisions. It focuses on domain-driven design, a way to organise software around the business concepts it represents, and keeps dependencies moving in the intended direction.
A project question-answering agent that reads a Memory Bank, a set of files containing the project's context and decisions. It uses that stored information to explain the codebase and suggest when another agent is more suitable.
A coding agent that writes and changes software according to the project’s conventions and domain-driven design (DDD), an approach that organizes code around business concepts. It also follows a memory bank when the project has one.
A debugging agent for the Academic Figures MCP project that uses project notes and past decisions to investigate software problems. It traces errors through the project’s presentation, application, domain, and infrastructure layers.
A reasoning-focused coding agent for analysing difficult engineering problems before suggesting a solution. It covers algorithms, system design, technology choices, and root-cause analysis—the process of finding the underlying reason a problem occurs.
A coordinating coding agent that breaks large engineering tasks into smaller jobs and assigns them to specialised agents. It tracks the work, combines the results, and performs a final check.
A read-only codebase research agent that scans a project, compares its parts, and prepares a report. A codebase is the complete collection of source files and related project files.
A review coordinator that sends code to three AI reviewers and combines their findings into one report. The reviewers focus on security, correctness, performance, architecture, tests, and documentation.
A code-review agent focused on software architecture, tests, documentation, and continuous integration. Continuous integration is the automated process that builds and tests code as changes are made.
A GPT-based code review agent for the Academic Figures MCP project. It reviews performance, readability, design patterns, maintainability, and separation between parts of the application.
A test-running agent that executes a Python project's pytest tests, investigates failures, and tries small local fixes in repeated rounds.
★not rated 3 1mo agoA42 tokens
originalApache-2.0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: