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AI/ML · Global library

Agent Lifecycle Manager

Manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization

CodexClaude CodeKimi Codeorchestrator-mcp
Open pack on GitHubBack to catalog

Best use case

Use Agent Lifecycle Manager when you need to manage complete agent lifecycles from initialization through graceful shutdown with health monitoring, scaling, and resource optimization, especially when the work is driven by agent lifecycle and agent pool.

Trigger signals

agent lifecycleagent poolagent healthgraceful shutdownagent scalingwarmup

Validation hooks

health-check-coveragegraceful-shutdown

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show agent-lifecycle-manager

Use

orchestrator-mcp skills export agent-lifecycle-manager --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/agent-lifecycle-manager ./your-agent-skills/agent-lifecycle-manager
# or open skills/agent-lifecycle-manager/SKILL.md in a markdown-first client

File patterns

agent_*.pylifecycle/*.pyorchestration/*.py

Model preferences

claude-sonnet-4gpt-4oclaude-haiku-3

Related skills

Adjacent packs to compose next.

AI/MLGlobal library

Agent Memory Designer

Open pack

Design short-term, long-term, and episodic memory layers for agents without turning retrieval into an unbounded context leak.

CodexClaude Code
AI/MLGlobal library

Agent Swarm Optimizer

Open pack

Optimize large-scale agent swarms for emergent problem-solving with dynamic task allocation and collective intelligence patterns

CodexClaude Code
Apache-2.0 licensedUse it, fork it, redistribute it. No strings attached.Safety-first by designSecret redaction, release scanning, and no shell execution. Constraints are public.GitHub nativeEvery pack is a real folder. Fork, edit, PR. No hidden backend or proprietary pipeline.