kaizen-agentic/registry/capabilities/capability.agents.kaizen-framework.md

id, name, summary, owner, status, domain, tags, maturity, external_evidence, discovery, availability, relations, evidence, consumer_guidance, promotion_history

id	name	summary	owner	status	domain	tags	maturity	external_evidence	discovery	availability	relations	evidence	consumer_guidance	promotion_history
capability.agents.kaizen-framework	Kaizen Agentic Framework	AI agency framework providing 18 specialized deployable agent instruction sets plus persistent, project-scoped memory and cross-agent coordination via a Coach meta-agent.	kaizen-agentic	draft	agents	agents memory coordination	discovery availability current target confidence rationale D3 D5 medium 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. current target confidence rationale A2 A3 medium Installable via `git clone` + `make setup-complete` + `make agents-install-cli`, with both source and global installation paths documented; pyproject-packaged.	completeness reliability level confidence basis satisfied_expectations broken_expectations out_of_scope_expectations C1 low scope_vs_intent_and_consumer_expectations 18 specialized agent instruction sets persistent project-scoped agent memory Coach meta-agent for fleet-wide pattern synthesis level confidence basis known_reliability_risks R0 low consumer_quality_signals no external reuse evidence yet outside the originating project	intent includes excludes assumptions use_cases research_memos Let agents arrive in a project already informed and improve over time through persistent, project-scoped memory and fleet-wide coordination via a Coach meta-agent. 18 specialized agent instruction sets persistent memory and coordination framework Coach meta-agent pattern synthesis the underlying LLM inference itself (agents are instruction sets, not a model)	current_level target_level current_artifacts target_artifacts consumption_modes A2 A3 Python package (`kaizen-agentic`) v1.4.0 CLI (`agents-install-cli`) cli library import	depends_on supports related_to	documentation tests consumer_feedback bug_reports incidents README.md tests/ .gitea/workflows/	recommended_for not_recommended_for known_limitations projects wanting a deployable, memory-persistent agent fleet with cross-agent coordination needs for a single stateless agent (framework overhead not justified) no cross-project reuse evidence recorded yet

Kaizen Agentic Framework

Overview

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.

Assessment notes

Discovery

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.

Availability

Installable via git clone + make setup-complete + make agents-install-cli, with both source and global installation paths documented; pyproject-packaged.

Completeness

First-pass honest assessment from the REUSE-WP-0017 coverage campaign (reuse-surface). No external consumer feedback exists yet; levels reflect scope-vs-intent documentation quality, not internal code quality.

Reliability

No production consumer telemetry exists yet; reliability level is intentionally conservative pending REUSE-WP-0019 reuse-telemetry evidence.

Promotion checklist

• ID follows capability.<domain>.<name> pattern
• Maturity enums match specs/CapabilityMaturityStandard.md
• external_evidence is populated separately from maturity
• Relations reference valid capability IDs (none yet)
• Index entry added in registry/indexes/capabilities.yaml