Draft capability entry (reuse-surface REUSE-WP-0017-T04, cohort 2)
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Honest first-pass maturity vector grounded in README/docs/tests present in this repo; no invented evidence. Flagged for human review before publish. See reuse-surface history/2026-07-06-coverage-classification.md. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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registry/capabilities/capability.agents.kaizen-framework.md
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registry/capabilities/capability.agents.kaizen-framework.md
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id: capability.agents.kaizen-framework
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name: Kaizen Agentic Framework
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summary: AI agency framework providing 18 specialized deployable agent instruction sets plus persistent,
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project-scoped memory and cross-agent coordination via a Coach meta-agent.
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owner: kaizen-agentic
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status: draft
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domain: agents
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tags:
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- agents
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- memory
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- coordination
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maturity:
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discovery:
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current: D3
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target: D5
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confidence: medium
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rationale: README documents the agent library, the agency framework (persistent memory, Coach meta-agent
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synthesising fleet-wide patterns), and a versioned release (v1.4.0); has .gitea/workflows CI.
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availability:
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current: A2
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target: A3
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confidence: medium
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rationale: Installable via `git clone` + `make setup-complete` + `make agents-install-cli`, with both
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source and global installation paths documented; pyproject-packaged.
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external_evidence:
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completeness:
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level: C1
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confidence: low
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basis: scope_vs_intent_and_consumer_expectations
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satisfied_expectations:
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- 18 specialized agent instruction sets
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- persistent project-scoped agent memory
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- Coach meta-agent for fleet-wide pattern synthesis
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broken_expectations: []
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out_of_scope_expectations: []
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reliability:
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level: R0
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confidence: low
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basis: consumer_quality_signals
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known_reliability_risks:
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- no external reuse evidence yet outside the originating project
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discovery:
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intent: Let agents arrive in a project already informed and improve over time through persistent, project-scoped
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memory and fleet-wide coordination via a Coach meta-agent.
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includes:
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- 18 specialized agent instruction sets
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- persistent memory and coordination framework
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- Coach meta-agent pattern synthesis
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excludes:
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- the underlying LLM inference itself (agents are instruction sets, not a model)
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assumptions: []
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use_cases: []
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research_memos: []
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availability:
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current_level: A2
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target_level: A3
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current_artifacts:
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- Python package (`kaizen-agentic`) v1.4.0
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- CLI (`agents-install-cli`)
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target_artifacts: []
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consumption_modes:
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- cli
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- library import
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relations:
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depends_on: []
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supports: []
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related_to: []
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evidence:
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documentation:
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- README.md
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tests:
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- tests/
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- .gitea/workflows/
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consumer_feedback: []
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bug_reports: []
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incidents: []
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consumer_guidance:
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recommended_for:
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- projects wanting a deployable, memory-persistent agent fleet with cross-agent coordination
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not_recommended_for:
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- needs for a single stateless agent (framework overhead not justified)
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known_limitations:
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- no cross-project reuse evidence recorded yet
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promotion_history: []
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---
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# Kaizen Agentic Framework
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## Overview
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`kaizen-agentic` is an AI agency framework: 18 specialized agents deployable into any project, each gaining persistent project-scoped memory and coordination through a Coach meta-agent that synthesises fleet-wide patterns and briefs incoming agents.
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## Assessment notes
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### Discovery
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README documents the agent library, the agency framework (persistent memory, Coach meta-agent synthesising fleet-wide patterns), and a versioned release (v1.4.0); has .gitea/workflows CI.
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### Availability
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Installable via `git clone` + `make setup-complete` + `make agents-install-cli`, with both source and global installation paths documented; pyproject-packaged.
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### Completeness
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First-pass honest assessment from the REUSE-WP-0017 coverage campaign
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(reuse-surface). No external consumer feedback exists yet; levels reflect
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scope-vs-intent documentation quality, not internal code quality.
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### Reliability
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No production consumer telemetry exists yet; reliability level is
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intentionally conservative pending REUSE-WP-0019 reuse-telemetry evidence.
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## Promotion checklist
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- [x] ID follows `capability.<domain>.<name>` pattern
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- [x] Maturity enums match `specs/CapabilityMaturityStandard.md`
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- [x] `external_evidence` is populated separately from `maturity`
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- [ ] Relations reference valid capability IDs (none yet)
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- [x] Index entry added in `registry/indexes/capabilities.yaml`
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