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    Topos scores code quality by analyzing the geometric and topological structure of program graphs, surfacing structural debt that conventional linters can't compute. Gives coding agents a medal-scored (SLOP → GOLD) feedback loop for writing cleaner, more composable code.
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    23
    BSD 3-Clause
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    Enables AI agents to screen GitHub repositories and pull requests for risk analysis, generating risk scores, findings, and merge-readiness signals.
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  • A
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    Enables AI agents to self-govern by scanning code for hardcoded secrets, structural violations, and AI drift in real-time, providing fix packets for automatic remediation.
    26
    MIT
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    Enola. is a local Model Context Protocol (MCP) server. A deterministic map of your codebase for AI coding agents — the real architecture, extracted from your source, not guessed.
    164
    Apache 2.0
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    An MCP server that gives AI assistants deep awareness of the PyGo framework, enabling code generation, schema querying, module inspection, and registry operations through natural language.
    MIT
  • A
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    Enables any MCP client to request an independent second opinion from a fresh Claude Code session without blocking, useful for plans, architecture, debugging, security reviews, and final checks.
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    MIT
  • A
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    Standalone MCP server for code structure analysis using tree-sitter. Directory trees, symbol definitions, and call graphs without reading raw source files. Supports Rust, Python, Go, Java, TypeScript, Fortran, JavaScript, C/C++, and C#. Benchmarked up to 68% fewer tokens vs native tools.
    5
    Apache 2.0
  • A
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    quality
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    Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.
    1
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    MIT
  • A
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    Policy and quality engine for AI coding agents that enforces team coding standards and provides validation gates for agent-assisted software delivery.
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    4
    MIT
  • A
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    Extracts deterministic architecture maps from codebases for AI agents, enabling queries about blast radius, routes, security findings, and production readiness without sending code anywhere.
    6
    MIT
  • A
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    quality
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    maintenance
    Provides AI assistants with real-time visibility into your codebase's internal libraries, team patterns, naming conventions, and usage frequencies to generate code that matches your team's actual practices.
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    Elastic 2.0