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chore(release): 2.19.0 [skip ci]
# [2.19.0](v2.18.0...v2.19.0) (2025-12-10) ### Features * add Memory MCP server allow list to repository settings ([#203](#203)) ([41d87bb](41d87bb))
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CHANGELOG.md

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# [2.19.0](https://github.com/ambient-code/agentready/compare/v2.18.0...v2.19.0) (2025-12-10)
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### Features
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* add Memory MCP server allow list to repository settings ([#203](https://github.com/ambient-code/agentready/issues/203)) ([41d87bb](https://github.com/ambient-code/agentready/commit/41d87bb546fa2a30e9126bc7cf93a6fb6b6f5ae0))
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# [2.18.0](https://github.com/ambient-code/agentready/compare/v2.17.0...v2.18.0) (2025-12-10)
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CLAUDE.md

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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**: v2.18.0 - Core assessment engine complete, most essential assessors implemented, LLM-powered learning, research report management
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**Current Status**: v2.19.0 - 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**: 2025-12-10 by Jeremy Eder
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**AgentReady Version**: 2.18.0
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**AgentReady Version**: 2.19.0
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**Self-Assessment**: 80.0/100 (Gold) ✨
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## Active Technologies

pyproject.toml

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[project]
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name = "agentready"
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version = "2.18.0"
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version = "2.19.0"
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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 = "jeder@redhat.com"}]
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readme = "README.md"

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