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A PM/accountability framework for AI enhanced orgs to replace outdated practices like agile.

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Cheddar Framework

Cheddar is a PM/accountability framework for AI-augmented organizations. It aligns missions, initiatives, tasks, and automation through signed, traceable artifacts that humans and AI share.

Quick Start

  1. Understand the model: Read docs/domain-model.md for entity definitions
  2. Know the rules: Review docs/invariants.md for non-negotiable guarantees
  3. See examples: Browse schemas/examples/ for canonical artifact formats
  4. Explore concepts: Dive into the documentation below

Documentation Map

Core Reference (Start Here)

Conceptual Guides

Architecture Decisions

Repository Status

Component Status Location
Domain model [EXISTS] docs/domain-model.md
Invariants [EXISTS] docs/invariants.md
Schema examples [EXISTS] schemas/examples/
JSON Schema definitions [EXISTS] schemas/*.schema.json
Conceptual docs [EXISTS] docs/
Architecture decisions [EXISTS] docs/adr/
Validation tooling [EXISTS] lint/
Example artifacts [PLANNED] artifacts/
Python package [PLANNED] src/

Status Markers:

  • [EXISTS] — Present and functional
  • [REQUIRED] — Must exist for v1.0
  • [PLANNED] — Intended future capability

Meta-Rule

Cheddar must never claim reality it cannot enforce.

See docs/invariants.md for the complete set of guarantees.

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A PM/accountability framework for AI enhanced orgs to replace outdated practices like agile.

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