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chore(release): 2.14.0 [skip ci]
# [2.14.0](v2.13.0...v2.14.0) (2025-12-05) ### Features * container support ([#171](#171)) ([c6874ea](c6874ea))
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CHANGELOG.md

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# [2.14.0](https://github.com/ambient-code/agentready/compare/v2.13.0...v2.14.0) (2025-12-05)
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### Features
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* container support ([#171](https://github.com/ambient-code/agentready/issues/171)) ([c6874ea](https://github.com/ambient-code/agentready/commit/c6874ea035775ac86ef5012bbfdf52e7b96f556f))
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# [2.13.0](https://github.com/ambient-code/agentready/compare/v2.12.3...v2.13.0) (2025-12-04)
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CLAUDE.md

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**Purpose**: Assess repositories against agent-ready best practices and generate actionable reports.
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**Last Updated**: 2025-12-04
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**Last Updated**: 2025-12-05
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## Overview
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AgentReady is a Python CLI tool that evaluates repositories against a comprehensive set of carefully researched attributes that make codebases more effective for AI-assisted development. It generates interactive HTML reports, version-control friendly Markdown reports, and machine-readable JSON output.
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**Current Status**: v2.13.0 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Current Status**: v2.14.0 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Self-Assessment Score**: 80.0/100 (Gold) - See `examples/self-assessment/`
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**Last Updated**: 2025-12-04 by Jeremy Eder
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**AgentReady Version**: 2.13.0
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**Last Updated**: 2025-12-05 by Jeremy Eder
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**AgentReady Version**: 2.14.0
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**Self-Assessment**: 80.0/100 (Gold) ✨

pyproject.toml

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[project]
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name = "agentready"
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version = "2.13.0"
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version = "2.14.0"
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description = "Assess and bootstrap git repositories for AI-assisted development with automated remediation and continuous learning"
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authors = [{name = "Jeremy Eder", email = "[email protected]"}]
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readme = "README.md"

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