session

Manage AI agent session lifecycles with checkpointing, restoration, handoffs, and shutdown.

4|Updated Feb 1, 2026

Search Tags:#memory #restore #handoff #checkpoint #lifecycle #session

Ready to run

npx skills add https://github.com/mkalkere/agent-coordinator --skill session-mkalkere

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: session
Source: https://github.com/mkalkere/agent-coordinator/tree/main/.os/skills/core/session
Command: npx skills add https://github.com/mkalkere/agent-coordinator --skill session-mkalkere

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Sessions are the boundary of an agent's active work period, requiring reliable startup, checkpointing, restoration, handoff, and graceful shutdown to avoid data loss and duplicate work.

Core Features & Use Cases

Atomic session management: start, checkpoint, restore, and end a session with consistent state.
Handoff and coordination: safely transfer work between agents using checkpoints and system events.
Real-time coordination: integrates with the memory and bus to persist and broadcast session state.

Quick Start

Boot a new session by initiating the agent lifecycle and loading any existing checkpoint.

Frequently Asked Questions about session

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I checkpoint and restore an AI agent session to prevent data loss?▼

Agent session checkpointing saves the current execution state so work can be safely restored later. This mechanism prevents data loss and duplicate work by persisting progress during active periods and loading it upon session boot.

What is the best way to handle cross-agent handoffs in a multi-agent project?▼

The best way to handle cross-agent handoffs is by transferring work between agents using checkpoints and broadcasting lifecycle events via a system bus. This safely coordinates state transfers and prevents duplicate processing across agents.

How does session lifecycle management work for graceful agent shutdowns?▼

Session lifecycle management works by coordinating boot, progress saving, and orderly shutdowns through a builtin handler workflow. It loads identity, initializes core skills, persists checkpoints, and broadcasts lifecycle events to ensure a graceful shutdown.

Can I persist and broadcast session state in real-time across multiple agents?▼

Yes, you can persist and broadcast session state in real-time by integrating the session lifecycle with the memory and system bus. This integration broadcasts lifecycle events and synchronizes state across multiple agents during handoffs.

When do I need session restoration and checkpointing for my AI agent?▼

You need session restoration and checkpointing whenever an agent's active work period is interrupted or transferred. This process is required during session boot, cross-agent handoffs, and orderly shutdowns to avoid data loss in multi-agent projects.