AGET Framework

Persistent domain intelligence for governed agentic work

The Problem

Your CLI agents lose context between sessions. Knowledge resets daily. Agents in the same fleet can't learn from each other. You have no confidence that what worked yesterday still works today.

AGET fixes this. It gives your agents persistent knowledge, shared memory, fleet coordination, and human-supervised governance. Your agents accumulate domain expertise that compounds across sessions.

Quick Start

Start with the Supervisor template. It coordinates your fleet and can create new agents.

# 1. Clone the supervisor template
git clone https://github.com/aget-framework/template-supervisor-aget my-supervisor

# 2. Open in your CLI agent (Claude Code, Codex CLI, or Gemini CLI)
cd my-supervisor

# 3. Start your first session
# Tell your agent: "wake up"

# 4. Create a new agent from a template
# Tell your agent: "/aget-create-aget worker my-first-worker"

See GETTING_STARTED.md for the full supervisor-first workflow.

Key Features

• Persistent Knowledge: Agents accumulate expertise across sessions (L-docs)
• Shared Memory: KB as collaboration substrate, not hidden AI state
• Requirements-Driven: Human-level requirements ground testable specifications (requirements/)
• Gate Discipline: Explicit decision points with human approval (GOVERNANCE_PRINCIPLES)
• Fleet Coordination: Multi-agent patterns with clear authority boundaries
• Evidence-First: Audit before architecture. Validate before shipping.

Supported Platforms

Platform	Status	Integration
Claude Code	Baseline	CLAUDE.md, .claude/
Codex CLI	Compatible	AGENTS.md, .codex/
Gemini CLI	Compatible	AGENTS.md
Cursor	Experimental	.cursor/rules
Aider	Experimental	CONVENTIONS.md

See CLI Support Matrix for details.

What AGET is NOT

• Not an AI model or runtime. AGET is a governance layer that works with any LLM backend.
• Not a replacement for Claude Code or Codex CLI. AGET sits above these platforms.
• Not an autonomous system. AGET requires human supervision and gate discipline.
• Not coding-only. AGET supports advisory, consulting, research, and general knowledge work.

Templates

12 archetypes, each with specialized skills and formal ontology:

Template	Use Case
template-supervisor-aget	Fleet coordination (start here)
template-worker-aget	Task execution
template-developer-aget	Development workflows
template-advisor-aget	Advisory with personas
template-analyst-aget	Data analysis
template-architect-aget	System design
template-researcher-aget	Research workflows
template-consultant-aget	Consulting engagements
template-operator-aget	Operations/DevOps
template-executive-aget	Executive advisory
template-reviewer-aget	Quality review
template-spec-engineer-aget	Specification authoring

All templates include 15 universal skills. See Archetype Ecosystem for details.

Session Protocols

Command	What it does
wake up	Initialize session, load context
study up [topic]	Research a topic across the KB
health check	Verify agent health
wind down	End session, create handoff

Learn More

• Strategic Context: The governed agent paradigm
• Ontology-Driven Design: Vocabulary-first agent customization
• Philosophy: Human-AI collaboration quality over autonomous speed

Contributing

Contributions welcome. See the Issues page to report bugs or suggest features.

License

Apache License 2.0. See LICENSE.