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    morelogic

    A cognitive reasoning protocol and Markdown-based local memory system for high-stakes AI development and strategy.

    Updated Jun 2026
    Security scanned
    Claude Code

    $5

    · or 25 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Execute high-stakes security and architectural audits using 7-step reasoning.
    • Maintain durable project memory across sessions using local Markdown files.
    • browser, file_read, file_write automation included
    • Ready for Claude Code
    • Instant install

    Sample input

    Switch to full reasoning mode and analyze the current project architecture for security flaws, then save your findings to the vault.

    Sample output

    [LogicMode: full] [LogicVault: write security-audit-01] Analyzed 7-step reasoning path: Skepticism flagged unencrypted local storage; Self-Reflexivity noted limited container scope. Recommendation: Rotate API keys. Detailed audit saved to .agent/memory/ml-vault/logicvault.md.

    About This Skill

    What it does

    MoreLogic is a high-precision reasoning and local memory framework designed for CLI-based AI agents. It implements a sophisticated 7-step cognitive protocol—covering Judgment, Skepticism, Sensitive Reading, Rationality, Originality, Activist Engagement, and Self-Reflexivity—to transform standard model outputs into vetted, audit-aware architectural and strategic decisions. It includes a robust file-based memory system, LogicVault, which allows agents to maintain long-term project context, decision logs, and trust settings directly within your local workspace.

    Why use this skill

    Standard prompting often suffers from "shallow thinking" or context loss between sessions. MoreLogic forces the agent to internally simulate critical thinking and verify facts before providing an answer. It replaces ephemeral context with a durable Markdown memory layer, ensuring your agent remembers architectural constraints, project-specific quirks, and past decisions across different sessions without needing an external database or expensive RAG infrastructure.

    Supported tools

    • CLI Agents: Optimized for Claude Code, Cursor, and other terminal-based AI assistants.
    • Local Filesystem: Uses standard Markdown files in .agent/memory/ for transparent, version-controllable memory.
    • Reasoning Modes: Configurable Full, Moderate, and Off modes to balance rigor and performance.

    Output

    In high-stakes modes, the agent provides deeply rationalized answers that explicitly state limitations, cite local memory entries, and flag potential contradictions. It also maintains a structured audit.md log of all memory mutations for full traceability.

    Use Cases

    • Execute high-stakes security and architectural audits using 7-step reasoning.
    • Maintain durable project memory across sessions using local Markdown files.
    • Track and recall technical decisions and their rationales automatically.
    • Automate context gathering with /autoVault levels (Low to High).

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    Security Scanned

    Passed automated security review

    Permissions

    Browser
    Read Files
    Write Files
    Network Access
    Terminal / Shell
    Environment Variables

    Claude Code, Cursor, and terminal-based assistants.

    Frequently Asked Questions