What does session-memory do?

The session-memory component handles the persistence and loading of your current state, tracking task progress and creating checkpoints during phase transitions.

How do I start a new AIDA session?

You can initialize a new session by running the /aida:init command, which triggers the session-init skill to create the necessary directory structure and state files.

Where are session artifacts and state stored?

All session data, including checkpoints, tasks, and results, is stored in a hidden .aida/ directory within your project root.

Can this skill track multiple AI agents?

Yes, the core session management skill tracks the status of various agent roles, including conductors, leaders, and players, within the session.json file.

Core Session Management

Name: Core Session Management
Author: clearclown

byclearclown

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生产力与工作流

Manages foundational session initialization and state persistence for the AIDA autonomous agent framework.

关于

The Core Session Management skill serves as the essential foundation for the AIDA (AI-Driven Architecture) ecosystem within Claude Code. It automates the setup of specialized project directories and initializes critical tracking files like session.json and kanban.md. By managing session states, phase transitions, and persistent memory through structured checkpoints, this skill enables Claude to maintain context and coordinate complex, multi-agent workflows across long-running development tasks.

主要功能

Standardized directory structure for artifacts, tasks, and results
Integrated kanban-style task management for transparent progress
Structured session state tracking via session.json
Persistent memory management with phase-based checkpointing
Automated environment setup with /aida:init command
1 GitHub stars

使用场景

Initializing a new autonomous coding project with a structured workflow
Persisting session data to allow for recovery and progress auditing
Tracking multi-phase development tasks across different AI agent roles

关于

主要功能

Standardized directory structure for artifacts, tasks, and results
Integrated kanban-style task management for transparent progress
Structured session state tracking via session.json
Persistent memory management with phase-based checkpointing
Automated environment setup with /aida:init command
1 GitHub stars

使用场景

Initializing a new autonomous coding project with a structured workflow
Persisting session data to allow for recovery and progress auditing
Tracking multi-phase development tasks across different AI agent roles