Version updated for https://github.com/mmnto-ai/totem to version @mmnto/totem@1.15.2. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool designed to provide a persistent memory and enforcement layer for AI coding agents, addressing their tendency to forget context and repeat architectural mistakes. It automates the creation and enforcement of coding rules by converting plain-English lessons into deterministic linting rules, ensuring consistent adherence to best practices without relying on runtime LLMs. This helps maintain architectural integrity, reduces repetitive review cycles, and prevents recurring errors in AI-assisted development workflows.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/mcp@1.15.1. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool designed to provide AI coding agents with a persistent memory and enforcement layer to prevent repeated architectural mistakes and maintain code integrity. It automates the process of turning plain-English lessons from past errors into enforceable linting rules that run offline in under two seconds, ensuring AI-generated code adheres to established standards. By acting as a deterministic safeguard, Totem helps streamline code reviews, reduces redundant feedback, and promotes consistent coding practices across projects.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/cli@1.15.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool designed to provide a persistent, cross-repository memory and enforcement layer for AI coding agents. It automates the process of converting lessons learned from past mistakes into enforceable rules, preventing recurring architectural errors and ensuring code consistency without relying on live LLMs. By using deterministic, offline linting, Totem enhances the reliability and efficiency of AI-assisted development workflows.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/cli@1.14.14. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool that provides a persistent memory and enforcement layer for AI coding agents, addressing the issue of repeated mistakes and degraded architectural integrity in AI-assisted development. It automates the creation and enforcement of coding rules by converting plain-English lessons into deterministic, offline linting rules, ensuring that mistakes identified in code reviews or production are not repeated. This enables a more efficient and reliable collaboration with AI agents while maintaining code consistency and quality.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/mcp@1.14.13. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a set of CLI tools designed to provide a persistent memory layer and enforcement mechanism for AI coding agents, ensuring architectural integrity across projects. It automates the process of turning plain-English lessons from coding mistakes into enforceable rules, preventing repeated errors and maintaining consistency without relying on large language models (LLMs) during runtime. Key capabilities include zero-LLM offline linting, deterministic rule enforcement, and the ability to create and refine precise constraints for software development workflows.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/totem@1.14.12. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool designed to provide AI coding agents with a persistent, cross-repository memory and enforcement layer to prevent recurring mistakes and improve architectural integrity. By converting plain-English lessons into deterministic rules enforced offline via a linter, Totem ensures that common errors are caught and corrected before code is pushed, eliminating redundant feedback cycles and maintaining coding standards. This tool helps automate the enforcement of best practices, reducing human intervention and improving collaboration with AI agents.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/cli@1.14.10. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool designed to provide AI coding agents with a persistent memory and enforcement layer to prevent recurring mistakes and maintain architectural integrity across projects. It automates the conversion of plain-English lessons into enforceable rules that block problematic code patterns during critical operations, such as git push, ensuring consistent adherence to best practices without relying on runtime LLMs. This solves the challenge of stateless AI agents forgetting context and helps streamline code reviews by proactively catching issues before they are introduced.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/totem@1.14.9. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool designed to provide a persistent memory and enforcement layer for AI coding agents. It automates the process of capturing and enforcing lessons learned from architectural mistakes, PR reviews, or production bugs by converting them into deterministic, offline linting rules that prevent recurring errors. This helps maintain code quality, ensures consistency across repositories, and reduces the need for repetitive human intervention during code reviews.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/totem@1.14.8. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool that provides a persistent memory and enforcement layer for AI coding agents to improve architectural integrity and prevent repetitive mistakes. It automates the process of converting plain-English lessons into enforceable rules that are checked offline during development, ensuring AI agents adhere to project-specific standards and avoid common errors. By serving as a “tripwire” system, Totem maintains code quality without relying on runtime LLMs.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/mcp@1.14.5. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool designed to provide AI coding agents with a persistent memory and enforcement layer by turning plain-English lessons into enforceable coding rules. It addresses challenges like repeated architectural mistakes, forgotten context, and unnecessary code duplication by creating deterministic “tripwires” that prevent agents from making the same errors. Totem operates offline, without requiring live LLMs, offering fast and precise linting to maintain code quality and architectural integrity across repositories.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/mcp@1.14.3. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool that acts as a persistent memory and enforcement layer for AI coding agents, ensuring they adhere to project-specific architectural rules and best practices. It automates the process of identifying and enforcing lessons derived from past mistakes by converting plain-English markdown into deterministic linting rules that run offline, without relying on large language models (LLMs). This helps prevent recurring errors, maintain architectural integrity, and streamline code reviews by flagging violations before they are committed.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/cli@1.14.2. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a CLI tool that acts as a persistent memory and enforcement layer for AI coding agents, addressing their tendency to forget architectural context and repeat mistakes. It automates the process of turning plain-English lessons about coding errors into enforceable rules, ensuring consistent adherence to best practices without requiring live LLMs. By providing deterministic, offline linting, Totem enhances code quality and reduces friction in AI-assisted workflows.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/totem@1.14.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a developer tool that provides AI coding agents with a persistent, cross-repository memory to prevent repeated mistakes and enforce architectural best practices. By compiling human-readable lessons into deterministic linting rules, it automates the enforcement of coding guidelines, blocks problematic patterns during development, and ensures consistency across projects without relying on runtime LLMs. It integrates seamlessly into existing workflows and CI pipelines, offering a self-healing loop where mistakes are observed, learned, and enforced for continuous improvement.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/cli@1.13.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a GitHub Action designed to automate and enforce coding standards by converting plain-English lessons or review feedback into deterministic lint rules using tools like ast-grep and regex, without relying on large language models (LLMs). It eliminates repetitive mistakes and reduces the “bot-tax” during code reviews by integrating self-healing workflows into existing CI pipelines. Key capabilities include rule authoring, automatic extraction of lessons from PR bots, and sub-second offline linting to prevent violations before code is pushed.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/cli@1.12.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a GitHub Action designed to prevent coding mistakes by translating plain English rules into deterministic linting constraints, ensuring consistent enforcement without relying on AI models. It automates the process of observing errors, learning from them, and enforcing rules through sub-second, offline checks, reducing repetitive review cycles and improving code quality. Key capabilities include rule creation from markdown, integration with existing CI workflows, and support for multiple programming languages.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/cli@1.11.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a GitHub Action and standard library for automated codebase governance that transforms institutional knowledge into enforceable rules, preventing recurring coding mistakes. By capturing lessons from code reviews or plain-English documentation, Totem generates deterministic constraints that block non-compliant code during CI/CD workflows or pre-push hooks. This eliminates repetitive review errors, reduces “bot-tax,” and enables teams to maintain consistent coding standards without relying on rigid workflows or external AI agents.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/mcp@1.10.1. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a codebase governance tool that automates the process of identifying, learning from, and enforcing coding standards to prevent repetitive mistakes, particularly in AI-assisted development. It captures institutional knowledge from code reviews and documentation, compiles it into rules, and integrates those rules into development pipelines to ensure compliance and block violations. By transforming lessons into enforceable constraints, Totem reduces the “Bot-Tax” associated with PR reviews and creates a self-healing loop that improves code quality and consistency over time.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/totem@1.9.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a GitHub Action designed to automate codebase governance by transforming institutional knowledge into enforceable rules, preventing repetitive coding mistakes and ensuring compliance with architectural standards. It operates as a self-healing loop that observes code changes, learns from developer feedback and bot warnings, and enforces rules through deterministic linting and blocking mechanisms. This action solves the problem of wasted time on recurring issues during PR reviews and provides tools for consistent, automated enforcement of best practices without relying on rigid workflows or external AI systems.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/cli@1.8.5. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a GitHub Action that automates codebase governance by converting institutional knowledge and shared lessons into enforceable rules that prevent recurring coding mistakes. It operates as a self-healing pipeline, observing code changes, learning from errors, and enforcing constraints via linting mechanisms, ensuring developers cannot repeat common architectural or stylistic issues. Key capabilities include deterministic rule compilation, integration with CI/CD workflows, and versatile tooling for pre-push validation, enabling robust and customizable code quality enforcement.

Version updated for https://github.com/mmnto-ai/totem to version @mmnto/mcp@1.8.3. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Totem is a codebase governance tool that automates the enforcement of best practices and institutional knowledge in software development. It converts plain-English lessons, such as coding standards or architectural guidelines, into deterministic rules that prevent recurring mistakes by blocking non-compliant code during pre-push checks. By observing code changes, learning from pull request reviews, and enforcing constraints, Totem creates a self-healing loop that streamlines code quality and reduces repetitive review overhead.