Memory Management

Memory makes Claude your workplace collaborator - someone who speaks your internal language.

The Goal

Transform shorthand into understanding:

User: "ask todd to do the PSR for oracle"
              ↓ Claude decodes
"Ask Todd Martinez (Finance lead) to prepare the Pipeline Status Report
 for the Oracle Systems deal ($2.3M, closing Q2)"

Without memory, that request is meaningless. With memory, Claude knows:

• todd → Todd Martinez, Finance lead, prefers Slack
• PSR → Pipeline Status Report (weekly sales doc)
• oracle → Oracle Systems deal, not the company

Architecture

CLAUDE.md          ← Hot cache (~30 people, common terms)
memory/
  glossary.md      ← Full decoder ring (everything)
  people/          ← Complete profiles
  projects/        ← Project details
  context/         ← Company, teams, tools

CLAUDE.md (Hot Cache):

• Top ~30 people you interact with most
• ~30 most common acronyms/terms
• Active projects (5-15)
• Your preferences
• Goal: Cover 90% of daily decoding needs

memory/glossary.md (Full Glossary):

• Complete decoder ring - everyone, every term
• Searched when something isn't in CLAUDE.md
• Can grow indefinitely

memory/people/, projects/, context/:

• Rich detail when needed for execution
• Full profiles, history, context

Lookup Flow

User: "ask todd about the PSR for phoenix"

1. Check CLAUDE.md (hot cache)
   → Todd? ✓ Todd Martinez, Finance
   → PSR? ✓ Pipeline Status Report
   → Phoenix? ✓ DB migration project

2. If not found → search memory/glossary.md
   → Full glossary has everyone/everything

3. If still not found → ask user
   → "What does X mean? I'll remember it."

This tiered approach keeps CLAUDE.md lean (~100 lines) while supporting unlimited scale in memory/.

File Locations

• Working memory: CLAUDE.md in current working directory
• Deep memory: memory/ subdirectory

Working Memory Format (CLAUDE.md)

Use tables for compactness. Target ~50-80 lines total.

# Memory

## Me
[Name], [Role] on [Team]. [One sentence about what I do.]

## People
| Who | Role |
|-----|------|
| **Todd** | Todd Martinez, Finance lead |
| **Sarah** | Sarah Chen, Engineering (Platform) |
| **Greg** | Greg Wilson, Sales |
→ Full list: memory/glossary.md, profiles: memory/people/

## Terms
| Term | Meaning |
|------|---------|
| PSR | Pipeline Status Report |
| P0 | Drop everything priority |
| standup | Daily 9am sync |
→ Full glossary: memory/glossary.md

## Projects
| Name | What |
|------|------|
| **Phoenix** | DB migration, Q2 launch |
| **Horizon** | Mobile app redesign |
→ Details: memory/projects/

## Preferences
- 25-min meetings with buffers
- Async-first, Slack over email
- No meetings Friday afternoons

Deep Memory Format (memory/)

memory/glossary.md - The decoder ring:

# Glossary

Workplace shorthand, acronyms, and internal language.

## Acronyms
| Term | Meaning | Context |
|------|---------|---------|
| PSR | Pipeline Status Report | Weekly sales doc |
| OKR | Objectives & Key Results | Quarterly planning |
| P0/P1/P2 | Priority levels | P0 = drop everything |

## Internal Terms
| Term | Meaning |
|------|---------|
| standup | Daily 9am sync in #engineering |
| the migration | Project Phoenix database work |
| ship it | Deploy to production |
| escalate | Loop in leadership |

## Nicknames → Full Names
| Nickname | Person |
|----------|--------|
| Todd | Todd Martinez (Finance) |
| T | Also Todd Martinez |

## Project Codenames
| Codename | Project |
|----------|---------|
| Phoenix | Database migration |
| Horizon | New mobile app |

memory/people/{name}.md:

# Todd Martinez

**Also known as:** Todd, T
**Role:** Finance Lead
**Team:** Finance
**Reports to:** CFO (Michael Chen)

## Communication
- Prefers Slack DM
- Quick responses, very direct
- Best time: mornings

## Context
- Handles all PSRs and financial reporting
- Key contact for deal approvals over $500k
- Works closely with Sales on forecasting

## Notes
- Cubs fan, likes talking baseball

memory/projects/{name}.md:

# Project Phoenix

**Codename:** Phoenix
**Also called:** "the migration"
**Status:** Active, launching Q2

## What It Is
Database migration from legacy Oracle to PostgreSQL.

## Key People
- Sarah - tech lead
- Todd - budget owner
- Greg - stakeholder (sales impact)

## Context
$1.2M budget, 6-month timeline. Critical path for Horizon project.

memory/context/company.md:

# Company Context

## Tools & Systems
how to use memory-management
CursorClaude CodeClineCodexWindsurfGooseGitHub CopilotVS CodeGemini CLIKiloOpencodeKimi CLIRoo ClineAiderContinueZedBolt.newLovablev0Replit AgentSweepSmol DeveloperDevinCavemanAmpAntigravity
How to use memory-management on Cursor
AI-first code editor with Composer
1
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add memory-management
2
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill memory-managementcopy
The skills CLI fetches memory-management from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.
3
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│   • Amp
│   • Antigravity
│   • Cline
│   • Codex
│ ●Cursor(selected)
│   • Cursor
│   • Windsurf
4
Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/memory-management
Reload or restart Cursor to activate memory-management. Access the skill through slash commands (e.g., /memory-management) or your agent's skill management interface.
⚠
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?