persistent-memory

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ALWAYS USE THIS SKILL when handling persistent memory in this workspace, including task-start memory recall, explicit "remember" instructions, storing durable preferences/facts, and retrieving prior context. This skill owns the local memory workflow and CLI for init/sync/search/add/recent/stats.

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Sourceropl-btc/agent-skills

Added on2026-02-10

NPX Install

npx skill4agent add ropl-btc/agent-skills persistent-memory

SKILL.md Content

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Persistent Memory

Use this skill as the single memory system for this repository.

Commands

Use either command style:

python3 .agents/skills/persistent-memory/scripts/memory.py <command>

.agents/skills/persistent-memory/scripts/pmem <command>

Supported commands:

```
init
```
```
sync
```
(database-only health check)
```
cleanup-legacy
```
```
backfill-embeddings --batch 500
```

prune --source "<label>" [--older-than <days>]

```
search "<query>" --limit 8
```

add "<memory text>" --tags "<comma,tags>" --source "assistant"

```
recent --limit 10
```
```
stats
```

Required Workflow

Initialize memory in a fresh workspace:

```
pmem init
```

At the start of substantial tasks:

```
pmem sync
```
(database-only health check)

pmem search "<topic keywords>" --limit 8

When user explicitly says
```
remember
```
or when a durable preference/fact is learned:

pmem add "<memory text>" --tags "<tags>" --source "assistant"

Before finalizing memory-sensitive work, verify recall state:

```
pmem stats
```

One-Time Migration (If Upgrading From Older Setup)

Remove legacy imported rows:

```
pmem cleanup-legacy
```

Generate vectors for existing notes:

```
pmem backfill-embeddings
```

Storage Rules

Store durable preferences, long-lived facts, stable workflows, and repeated constraints.
Do not store noisy one-off transient details unless requested.
Keep entries concise and specific.
Prefer tags that improve retrieval quality (
```
preferences
```
,
```
calendar
```
,
```
comms
```
,
```
product
```
).

Retrieval Rules

Use targeted search queries instead of broad terms.
Keep default
```
--limit
```
low unless deeper recall is needed.
```
search
```
automatically reinforces recalled entries by updating
```
hits
```
and
```
last_seen_at
```
.
```
hits
```
are analytics-oriented and not used as a direct ranking boost.
Search uses hybrid retrieval: lexical + semantic.
Semantic search tries
```
sqlite-vec
```
first and auto-falls back to Python cosine if needed.

Bootstrapping and Recovery

If
```
.memory/
```
is missing, run
```
pmem init
```
.
```
pmem sync
```
is a lightweight database-only check (no markdown import/export).

If semantic mode degrades, run

pmem stats

to inspect

semantic_backend

and

embedding_coverage

For command examples and quick troubleshooting, read
```
references/usage.md
```
.