Files
kaizen-agentic/docs/agency-framework.md
Bernd Worsch 15f4cce238 docs(agency): add agency-framework.md and update README (WP-0002 T15-T16)
- Add docs/agency-framework.md: full explanation of the project memory
  model, session protocols, memory frontmatter field, CLI reference,
  coach meta-agent usage, and protocols preview (Part 3)
- Update README: reposition as agency framework (not just agent library),
  add Agency Framework section with memory CLI examples, update feature
  list to 18 agents, add sys-medic and coach to agent listing

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-18 23:44:05 +00:00

6.0 KiB

Agency Framework

kaizen-agentic is not just a library of agent instruction sets — it is an agency: a system where agents are deployed into projects with their own persistent memory, learn from experience, and are guided by a coaching meta-agent that distils patterns across the entire fleet.

Overview

When you deploy a kaizen-agentic agent into a project, it can accumulate project-scoped memory — a structured file written at session close and read at session start. A Coach meta-agent reads across all agent memories and produces orientation briefs for newly deployed agents: what has been tried, what worked, what to watch out for.

Agents arrive in a project informed, not blank.


Project Memory

Location Convention

<project-root>/.kaizen/agents/<agent-name>/memory.md

The .kaizen/ directory is analogous to .claude/ — a project-level configuration and state directory owned by the kaizen-agentic ecosystem.

Memory File Structure

---
agent: <name>
project: <project-root or slug>
last_updated: <ISO date>
session_count: <n>
---

## Project Context
<!-- What this agent knows about the project it is working in -->

## Accumulated Findings
<!-- Patterns, recurring issues, key decisions the agent has encountered -->

## What Worked
<!-- Approaches that produced good results in this project -->

## Watch Points
<!-- Recurring risks, traps, or areas requiring extra care -->

## Open Threads
<!-- Things noticed but not yet acted on -->

## Session Log
<!-- One-line entry per session: date · summary · outcome -->

Session Protocols

Session-start (all agents with memory: enabled):

  1. Check for .kaizen/agents/<name>/memory.md in the project root.
  2. If present, read it before beginning work.
  3. Acknowledge the memory in the opening brief.

Session-close (all agents with memory: enabled):

  1. Update ## Accumulated Findings, ## What Worked, ## Watch Points as appropriate.
  2. Append one line to ## Session Log: YYYY-MM-DD · <summary> · <outcome>.
  3. Bump last_updated and session_count.

Agent YAML Frontmatter

Each agent definition (agents/agent-<name>.md) includes a YAML frontmatter block:

---
name: <name>
description: <one-line description>
category: <category>
memory: enabled   # or: disabled
---

The memory field defaults to enabled. Set memory: disabled for agents that are stateless by design (e.g. wisdom-encouragement).


The Coach Meta-Agent

agents/agent-coach.md is a meta-agent — it performs no domain work (coding, testing, infrastructure). Its sole purpose is synthesis and advice.

What the Coach Does

  • Cross-agent synthesis: reads all .kaizen/agents/*/memory.md files, identifies shared patterns, cross-domain risks, and contradictions
  • New-agent orientation: when briefing a specific agent, filters all existing memories for what is relevant and produces a targeted brief
  • Fleet health overview: summarises which agents are active, stale, or missing; flags high-session-count agents with open threads

Invoking the Coach

Via CLI (assembles raw memory context):

kaizen-agentic memory brief <agent-name>

This prints a structured orientation brief. Pass the output to a Claude session with agents/agent-coach.md loaded for full LLM synthesis.

Directly in a Claude session:

Coach, brief the sys-medic agent on this project.
Coach, what patterns have you observed across all agents?

The Coach maintains its own memory at .kaizen/agents/coach/memory.md covering fleet-level observations over time.


CLI Reference

The memory command group manages project-scoped agent memory:

kaizen-agentic memory show <agent>      # Print agent memory for the current project
kaizen-agentic memory init <agent>      # Scaffold an empty memory file
kaizen-agentic memory brief <agent>     # Assemble orientation context for the coach
kaizen-agentic memory clear <agent>     # Wipe memory (with confirmation prompt)

Options

memory brief accepts:

  • --target / -t — project root (default: current directory)
  • --raw — dump raw memory file contents without the structured header

Example Workflow

# First deployment of sys-medic into a project
kaizen-agentic memory init sys-medic

# After a few sessions, brief an incoming tdd-workflow agent
kaizen-agentic memory brief tdd-workflow
# → paste output into Claude with agent-coach.md loaded

# Review accumulated memory for a specific agent
kaizen-agentic memory show project-management

Protocols (Part 3 — coming in WP-0002 Part 3)

A future extension adds protocol runbooks — structured, human-readable procedural checklists that agents can reference during structured assessments:

agents/protocols/<agent-name>/<slug>.md

The sys-medic k3s health assessment protocol is the first planned example. CLI commands kaizen-agentic protocols list and protocols show will expose them.

See WP-0002 Part 3 for the full specification.


Agents with Memory Enabled

All agents that do session-bound project work have memory: enabled in their frontmatter and include session-start/session-close protocol blocks:

Agent Category Notes
project-management process Reference implementation of the session protocol pattern
tdd-workflow testing
requirements-engineering process
scope-analyst process
sys-medic infrastructure Extended memory template (node profiles, recurring findings)
coach meta Fleet-level memory