# Loop Memory

> Give the agent episodic memory so it improves every cycle instead of repeating mistakes. Use this skill whenever working in a project that has a .loop/LESSONS.md file, whenever a task is being retried after a failure, whenever the user says "remember this", "don't make that mistake again", "learn from this", or "why do you keep doing that", and at the start and end of every task run inside a loop…

- **Type:** Skill
- **Install:** `agentstack add skill-haidrrrry-loop-engineering-skills-loop-memory`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [haidrrrry](https://agentstack.voostack.com/s/haidrrrry)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [haidrrrry](https://github.com/haidrrrry)
- **Source:** https://github.com/haidrrrry/loop-engineering-skills/tree/main/skills/loop-memory

## Install

```sh
agentstack add skill-haidrrrry-loop-engineering-skills-loop-memory
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Loop Memory

Reflexion-style verbal memory: the agent reflects on each attempt in writing,
stores the reflection, and reads recent reflections before acting. Research
(Shinn et al., 2023) shows this mechanism — reflect, store, re-read — beats
blind retrying by wide margins (+22% on decision tasks over 12 trials, +11%
on code) and beats memory-without-reflection by 8 points. The gain comes from
*written reasons*, not from retrying harder.

## The protocol

### Before acting (every task)

1. Read `.loop/LESSONS.md`.
2. Apply the **Standing rules** section unconditionally.
3. Read the **3 most recent entries**. If any is relevant to the current
   task, state in one line how it changes your approach. If none is
   relevant, proceed — do not force it.

### After acting (every attempt, pass or fail)

Append exactly one entry in the file's format:

```
## [date] — [task, 5 words max] — PASS|FAIL
- What happened: [one line]
- Root cause / why it worked: [one line]
- Next time: [one specific, checkable instruction]
```

Quality bar for "Next time":
- ❌ "Be more careful with the database" — not checkable
- ✅ "Run `npx prisma migrate deploy` before any seed script" — checkable
- ❌ "Remember the API is tricky" — vague
- ✅ "The /users endpoint paginates at 50; always pass ?page= when counting"

### Failure reflection, specifically

When an attempt failed, the reflection must answer: what did I *believe* that
was wrong? Failed attempts usually come from a false assumption, not a typo.
Name the assumption. That's the lesson.

### Maintenance (when the file exceeds ~30 entries)

1. Read all entries oldest-first.
2. Any lesson that appears 2+ times graduates into **Standing rules**,
   rewritten as a single imperative line.
3. Delete the oldest 20 entries after graduation.
4. Never delete Standing rules without the user's approval.

## What NOT to store

- Secrets, keys, tokens, personal data — never, even if they caused the failure.
- Narration ("I then tried X, after which Y…") — store conclusions only.
- Duplicate lessons — if it's already there, don't re-add; consider graduating it.
- Blame or self-criticism — lessons are instructions, not feelings.

## Failure modes to avoid

- **Memory theater:** writing entries but never reading them. The read step
  is the value; the write step alone is a diary.
- **Overfitting to one incident:** a one-off environment hiccup is not a
  lesson. If it can't recur, don't record it.
- **Unbounded growth:** a 200-entry file no one reads is dead memory. Compress.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [haidrrrry](https://github.com/haidrrrry)
- **Source:** [haidrrrry/loop-engineering-skills](https://github.com/haidrrrry/loop-engineering-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-haidrrrry-loop-engineering-skills-loop-memory
- Seller: https://agentstack.voostack.com/s/haidrrrry
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
