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session-memory

Persist cross-session learnings to .claude/memory with decisions.md, patterns.md, and context.json.

39|46|Updated May 29, 2026
Search Tags:#learning#memory#session#reproducibility#auditability#cross-session
One-click install
npx skills add https://github.com/maxwell2732/claudecode-research-harness-workflow --skill session-memory-maxwell2732
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: session-memory
Source: https://github.com/maxwell2732/claudecode-research-harness-workflow/tree/main/skills/session-memory
Command: npx skills add https://github.com/maxwell2732/claudecode-research-harness-workflow --skill session-memory-maxwell2732

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This sub-skill manages cross-session handoff, durable learning, and memory persistence by recording and referencing learnings, decisions, and patterns to sustain continuity across Claude Code workflows.

Core Features & Use Cases

  • Persists and organizes session history, decisions, and patterns under .claude/memory to enable seamless handoffs between sessions.
  • Provides a clear separation between shared SSOT memory and local session context to improve auditability and reproducibility.
  • Supports long-running research projects, iterative analysis, and knowledge continuity across multiple sessions.

Quick Start

Load the cross-session memory module and begin recording learnings to .claude/memory for future reference.

Frequently Asked Questions about session-memory

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

FAQPage Schema
How do I keep learning across Claude Code sessions without losing context?▼

To keep learning across Claude Code sessions, persist session history, decisions, and patterns to .claude/memory. This maintains continuity and traceability for long-running research and iterative analysis workflows.

What's the best way to manage project handoffs and maintain memory persistence?▼

Project handoffs and memory persistence are managed by recording learnings, decisions, and patterns to a structured .claude/memory directory, enabling seamless session transitions and durable knowledge continuity.

How does cross-session memory separation improve auditability and reproducibility?▼

Cross-session memory separation improves auditability by isolating shared SSOT memory from local session context. This clear data separation ensures traceability and reproducibility across iterative analysis workflows.

Can I use a structured memory structure for long-running research projects?▼

Yes, you can use a structured memory system with decisions.md, patterns.md, and context.json for long-running research projects. It organizes cross-session learnings to sustain knowledge continuity across multiple sessions.

Do I need any external dependencies to enable durable cross-session learning?▼

No external dependencies are needed to enable durable cross-session learning. The system implements local .claude/memory storage with markdown and JSON files to independently record session history and patterns.

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