agent-lifecycle
Manage the lifecycle of autonomous agents and their skills. Version configurations, plan upgrades, track retirement, and maintain change history across agent environments.
- License 许可
- MIT
- 最近更新
- 2026-06-07
- Stars
- ★ 0
- Forks
- 1
01 前言 Front Matter
- name
- agent-lifecycle
- metadata
- { "openclaw": { "os": [ "darwin", "linux" ], "emoji": "🔄", "requires": { "bins": [ "python3" ] } } }
- description
- Manage the lifecycle of autonomous agents and their skills. Version configurations, plan upgrades, track retirement, and maintain change history across agent environments.
- user-invocable
- true
03 SKILL.md 正文
Agent Lifecycle Manager
Track your agent's evolution from deployment to retirement. Version configurations, plan skill upgrades, and maintain a complete change history.
Why This Exists
Agents evolve constantly — new skills installed, old ones retired, configurations changed, models swapped. Without lifecycle tracking, you cannot answer: "What was my agent running last Tuesday?" or "What changed when things broke?"
Commands
Snapshot current agent state
python3 {baseDir}/scripts/lifecycle.py snapshot --name "pre-upgrade"
Compare two snapshots
python3 {baseDir}/scripts/lifecycle.py diff --from "pre-upgrade" --to "post-upgrade"
List all snapshots
python3 {baseDir}/scripts/lifecycle.py list
Rollback to a snapshot
python3 {baseDir}/scripts/lifecycle.py rollback --to "pre-upgrade" --dry-run
Track a skill retirement
python3 {baseDir}/scripts/lifecycle.py retire --skill old-skill --reason "Replaced by new-skill v2"
View change history
python3 {baseDir}/scripts/lifecycle.py history --limit 20
What It Tracks
- Installed skills: Name, version, install date, last used
- Configuration state: Environment vars, model assignments, feature flags
- Change events: Installs, updates, removals, config changes
- Retirement log: Why skills were removed, what replaced them
- Snapshots: Point-in-time captures of full agent state
Data Storage
Lifecycle data is stored in ~/.openclaw/lifecycle/ as JSON files.
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