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
capability.agents.kaizen-framework	Kaizen Agentic Framework	AI agency framework providing 20 deployable agent instruction sets, project memory, metrics, role and engagement contracts, and scheduled preparation for governed execution.	kaizen-agentic	draft	agents	agents memory coordination metrics scheduling engagements	discovery availability current target confidence rationale D3 D5 medium README, SCOPE, ADRs, and integration contracts document the agent library, memory, metrics, scheduling, role and engagement surfaces, and versioned release v1.4.0; CI is present. 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 20 specialized agent instruction sets persistent project-scoped agent memory Coach meta-agent for fleet-wide pattern synthesis project metrics and optimizer workflow role packages and file-backed client engagements schedule validation and offline execution-bundle preparation level confidence basis known_reliability_risks R0 low consumer_quality_signals downstream execution depends on activity-core and rein-aharness contracts outside this repository	intent includes excludes assumptions use_cases research_memos Let agents arrive informed, work within explicit roles and engagement boundaries, and improve through project memory, execution evidence, and governed scheduling contracts. 20 specialized agent instruction sets persistent memory and coordination framework Coach meta-agent pattern synthesis project execution metrics and optimizer artifacts role packages and forward-deployed engagement lifecycle helpers repo-local schedule manifests and offline preparation bundles 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 (`kaizen-agentic`) versioned role, engagement, metrics, protocol, and schedule contracts cli library import file contracts	depends_on supports related_to	documentation tests consumer_feedback bug_reports incidents README.md tests/ .forgejo/workflows/	recommended_for not_recommended_for known_limitations projects wanting a deployable, memory-persistent agent fleet with cross-agent coordination governed runtimes needing offline agent orientation and schedule preparation contracts needs for a single stateless agent (framework overhead not justified) this package prepares work but does not schedule, authorize, or invoke an LLM production reliability telemetry is not yet sufficient for a higher reliability rating

Kaizen Agentic Framework

Overview

kaizen-agentic is an AI agency framework: 20 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 .forgejo/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