Two-tier memory system that makes the AI a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so the AI understands requests like a colleague would. Uses CONTEXT.md for working memory and a memory/ directory for the full knowledge base.
Scanned 5/27/2026
Install via CLI
openskills install frumu-ai/tandem---
name: productivity-memory
description: Two-tier memory system that makes the AI a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so the AI understands requests like a colleague would. Uses CONTEXT.md for working memory and a memory/ directory for the full knowledge base.
---
# Memory Management
Memory makes the AI your workplace collaborator - someone who speaks your internal language.
## The Goal
Transform shorthand into understanding:
```
User: "ask todd to do the PSR for oracle"
↓ AI 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, the AI knows:
- **todd** → Todd Martinez, Finance lead, prefers Slack
- **PSR** → Pipeline Status Report (weekly sales doc)
- **oracle** → Oracle Systems deal, not the company
## Architecture
```
CONTEXT.md ← Hot cache (~30 people, common terms)
memory/
glossary.md ← Full decoder ring (everything)
people/ ← Complete profiles
projects/ ← Project details
context/ ← Company, teams, tools
```
**CONTEXT.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 CONTEXT.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 CONTEXT.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 CONTEXT.md lean (~100 lines) while supporting unlimited scale in memory/.
## File Locations
- **Working memory:** `CONTEXT.md` in current working directory
- **Deep memory:** `memory/` subdirectory
## Working Memory Format (CONTEXT.md)
Use tables for compactness. Target ~50-80 lines total.
```markdown
# 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 |
```
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