From d08cc17e44b9965f7dc9ad69d0d12173b9bb9ef7 Mon Sep 17 00:00:00 2001 From: tegwick Date: Mon, 6 Jul 2026 19:41:36 +0200 Subject: [PATCH] Draft capability entry (reuse-surface REUSE-WP-0017-T04, cohort 2) 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 --- .../capability.agents.kaizen-framework.md | 121 ++++++++++++++++++ registry/indexes/capabilities.yaml | 20 ++- 2 files changed, 139 insertions(+), 2 deletions(-) create mode 100644 registry/capabilities/capability.agents.kaizen-framework.md diff --git a/registry/capabilities/capability.agents.kaizen-framework.md b/registry/capabilities/capability.agents.kaizen-framework.md new file mode 100644 index 0000000..9a88d7a --- /dev/null +++ b/registry/capabilities/capability.agents.kaizen-framework.md @@ -0,0 +1,121 @@ +--- +id: capability.agents.kaizen-framework +name: Kaizen Agentic Framework +summary: AI agency framework providing 18 specialized deployable agent instruction sets plus persistent, + project-scoped memory and cross-agent coordination via a Coach meta-agent. +owner: kaizen-agentic +status: draft +domain: agents +tags: +- agents +- memory +- coordination +maturity: + discovery: + current: D3 + target: D5 + confidence: medium + rationale: 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: + current: A2 + target: A3 + confidence: medium + rationale: Installable via `git clone` + `make setup-complete` + `make agents-install-cli`, with both + source and global installation paths documented; pyproject-packaged. +external_evidence: + completeness: + level: C1 + confidence: low + basis: scope_vs_intent_and_consumer_expectations + satisfied_expectations: + - 18 specialized agent instruction sets + - persistent project-scoped agent memory + - Coach meta-agent for fleet-wide pattern synthesis + broken_expectations: [] + out_of_scope_expectations: [] + reliability: + level: R0 + confidence: low + basis: consumer_quality_signals + known_reliability_risks: + - no external reuse evidence yet outside the originating project +discovery: + intent: 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. + includes: + - 18 specialized agent instruction sets + - persistent memory and coordination framework + - Coach meta-agent pattern synthesis + excludes: + - the underlying LLM inference itself (agents are instruction sets, not a model) + assumptions: [] + use_cases: [] + research_memos: [] +availability: + current_level: A2 + target_level: A3 + current_artifacts: + - Python package (`kaizen-agentic`) v1.4.0 + - CLI (`agents-install-cli`) + target_artifacts: [] + consumption_modes: + - cli + - library import +relations: + depends_on: [] + supports: [] + related_to: [] +evidence: + documentation: + - README.md + tests: + - tests/ + - .gitea/workflows/ + consumer_feedback: [] + bug_reports: [] + incidents: [] +consumer_guidance: + recommended_for: + - projects wanting a deployable, memory-persistent agent fleet with cross-agent coordination + not_recommended_for: + - needs for a single stateless agent (framework overhead not justified) + known_limitations: + - no cross-project reuse evidence recorded yet +promotion_history: [] +--- + +# 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 + +- [x] ID follows `capability..` pattern +- [x] Maturity enums match `specs/CapabilityMaturityStandard.md` +- [x] `external_evidence` is populated separately from `maturity` +- [ ] Relations reference valid capability IDs (none yet) +- [x] Index entry added in `registry/indexes/capabilities.yaml` diff --git a/registry/indexes/capabilities.yaml b/registry/indexes/capabilities.yaml index f944e47..6e5d1c4 100644 --- a/registry/indexes/capabilities.yaml +++ b/registry/indexes/capabilities.yaml @@ -1,4 +1,20 @@ version: 1 -updated: '2026-06-16' +updated: '2026-07-06' domain: helix_forge -capabilities: [] +capabilities: +- id: capability.agents.kaizen-framework + name: Kaizen Agentic Framework + summary: AI agency framework providing 18 specialized deployable agent instruction sets plus persistent, + project-scoped memory and cross-agent coordination via a Coach meta-agent. + vector: D3 / A2 / C1 / R0 + domain: agents + status: draft + owner: kaizen-agentic + path: registry/capabilities/capability.agents.kaizen-framework.md + tags: + - agents + - memory + - coordination + consumption_modes: + - cli + - library import