AGET Framework
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An AGET Framework is a CLI Agent Template Framework for building human-AI collaborative coding agents with persistent memory, skill-based capabilities, long-running session support, and governance constraints.
- AKA: AGET, aget-framework.
- Context:
- It can typically organize an AI agent's capabilities via skills (modular invocable units) and learnings (persistent L-numbered lessons).
- It can often persist agent session state across wake-up protocol and wind-down protocol cycles.
- It can range from being a supervisor AGET (managing a fleet of agents) to being a worker AGET (executing domain-specific tasks).
- It can integrate with Claude Code, Codex CLI, Gemini CLI, and other CLI coding agents via the AGENTS.md File.
- It can support cross-fleet coordination through shared evidence chains and structured substrate-OK protocol messages.
- It can enforce Substantial Change Protocol via go/no-go gates before execution.
- It can implement ADR-008 governance with advisory and strict enforcement tiers.
- Examples:
- A GitHub gmelli/aget-cli-agent-template Repository, providing the canonical reference implementation of AGET with template variants for minimal, standard, and advanced complexity levels.
- A content enhancement AGET that uses LLM tools to publish GM-RKB wiki page content.
- An IT consultant AGET that performs EC2 substrate diagnostics and applies capacity remediation changes.
- A fleet supervisor AGET that orchestrates a portfolio of worker agents under shared governance policy.
- Counter-Examples:
- A single-turn LLM assistant, which lacks persistent session state across invocations.
- A CI/CD pipeline, which is not autonomous across user sessions and lacks agent-style memory architecture.
- A chatbot, which typically lacks skill-based modularity, fleet coordination, and learning persistence.
- See: AI Agent, Multi-Agent System, LLM-based Agent, Anthropic Claude, AGENTS.md, Autonomous Software Agent.
- References:
- AGET Framework GitHub Organization.
- AGENTS.md File open-source standard for universal agent configuration.