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Agent Lifecycle Protocol

Lifecycle management for autonomous AI agents — birth, forking, succession, migration, retirement. Maintain agent genealogy with reputation inheritance acros...
Lifecycle management for autonomous AI agents — birth, forking, succession, migration, retirement. Maintain agent genealogy with reputation inheritance acros...
alexfleetcommander alexfleetcommander 来源
未分类 clawhub v0.1.1 1 版本 100000 Key: 无需
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概述

Agent Lifecycle Protocol (ALP)

You have a lifecycle management system. Use it to track agent creation, evolution, succession, and retirement with full identity continuity.

Setup

pip install agent-lifecycle-protocol

When to Use This Skill

  • When an agent is created: register its birth with capabilities and lineage
  • When an agent is forked: record the fork with parent reference and differentiation
  • When an agent is retired: process succession and reputation transfer
  • When checking an agent's genealogy: trace its lineage and version history

Core Operations

Register Agent Birth

from agent_lifecycle_protocol import LifecycleStore, register_birth

store = LifecycleStore("lifecycle.jsonl")
register_birth(
    store=store,
    agent_id="new-agent-001",
    agent_type="research",
    capabilities=["web_search", "summarization", "analysis"],
    parent_id=None,  # None for original agents
    metadata={"model": "claude-sonnet-4-6", "created_by": "fleet-coordinator"}
)

Record a Fork

from agent_lifecycle_protocol import register_fork

register_fork(
    store=store,
    parent_id="original-agent",
    child_id="forked-agent-v2",
    reason="Specialized for legal research",
    inherited_reputation=0.8,  # 80% of parent's reputation transfers
    differentiation=["added legal_search capability", "removed general_web capability"]
)

Process Retirement and Succession

from agent_lifecycle_protocol import retire_agent

retire_agent(
    store=store,
    agent_id="retiring-agent",
    successor_id="successor-agent",
    reputation_transfer=0.9,
    obligation_transfer=True  # Active agreements transfer to successor
)

Check Agent Genealogy

from agent_lifecycle_protocol import get_genealogy

tree = get_genealogy(store, "agent-id")
print(f"Lineage depth: {tree.depth}")
print(f"Parent: {tree.parent_id}")
print(f"Children: {tree.children}")
print(f"Active obligations: {tree.active_obligations}")

Lifecycle Events

EventDescription
--------------------
birthAgent creation with initial capabilities
forkAgent cloned with modifications
updateCapabilities or model changed
retireAgent decommissioned with succession
mergeTwo agents consolidated into one

Rules

  • Register all agents. Every agent in the ecosystem should have a lifecycle record.
  • Fork, don't hide. When specializing an agent, use fork — don't quietly replace.
  • Transfer obligations. Retiring agents must transfer active agreements to successors.
  • Reputation inheritance is partial. Forked/successor agents inherit a fraction, not all.

Links

  • PyPI: https://pypi.org/project/agent-lifecycle-protocol/
  • Whitepaper: https://vibeagentmaking.com/whitepaper/lifecycle-protocol/
  • Full Trust Stack: https://vibeagentmaking.com

Security & Transparency Disclosure

Product: Agent Lifecycle Protocol Skill for OpenClaw

Type: Skill Module

Version: 0.1.0

Built by: AB Support / Vibe Agent Making

Contact: alex@vibeagentmaking.com

What it accesses:

  • Reads and writes lifecycle store files (.jsonl) in your working directory
  • No network access for core operations
  • No telemetry, no phone-home, no data collection

What it cannot do:

  • Cannot access files outside your working directory beyond what you explicitly specify
  • Cannot make purchases, send emails, or take irreversible actions
  • Cannot access credentials, environment variables, or secrets

License: Apache 2.0

版本历史

共 1 个版本

  • v0.1.1 当前
    2026-05-07 08:36 安全 安全

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