pi-memory
Manage persistent memory across sessions
Install / Use
npx skills add screenfluent/pi --skill pi-memoryInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Our assessment of pi-memory
pi-memory scores 64/100 on our quality scale, 3937th of 4,613 Development & Engineering skills we index.
Its SKILL.md is 3.8 KB long, well organised into 19 sections with 6 code examples: a solid amount of guidance for an agent.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-10-18 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 74/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
pi-memory compared with similar skills
All 4 of these similar skills score higher than pi-memory; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| pi-memory (this skill)by screenfluent | 64 | 0 | 7mo ago | SKILL.md |
| taste-skillby Leonxlnx | 100 | 111.0k | 1d ago | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 70.0k | today | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 46.6k | 3d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 44d ago | SKILL.md |
Frequently asked questions
- How do I install pi-memory?
- Run
npx skills add screenfluent/pi --skill pi-memory. The install tabs above show the steps for each supported agent. - Which AI agents does pi-memory work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is pi-memory safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 74/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is pi-memory still maintained?
- The repository was last updated about 7 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubname: pi-memory description: Manage persistent memory across sessions. Use when asked to remember, recall, forget, or review what was stored. Covers long-term facts (MEMORY.md), daily session logs, search, and memory housekeeping.
pi-memory — Persistent Memory
A file-based memory system that persists knowledge across sessions using plain Markdown.
Architecture
<base-path>/
├── MEMORY.md # Long-term curated memory (facts, preferences, decisions)
└── memory/
├── 2026-02-11.md # Daily log — append-only session notes
├── 2026-02-10.md
└── ...
- MEMORY.md — The "brain". Organized into
## Sections. Survives compaction. Editable in place. - memory/YYYY-MM-DD.md — Daily append-only logs. Timestamped entries. One file per day.
The base path defaults to cwd. Override with settings.json:
{ "pi-memory": { "path": "/path/to/memory/dir" } }
Tools
memory_read
Read memory contents.
| target | description |
|--------|-------------|
| long_term | Read full MEMORY.md |
| daily | Read a specific date's log (default: today). Pass date: "YYYY-MM-DD" for other dates. |
| list | List all available daily log files |
memory_write
Write to memory.
| target | description |
|--------|-------------|
| daily | Append a timestamped entry to today's log. Used for session notes, progress, decisions. |
| long_term | Update MEMORY.md. Pass section to replace a specific ## Section, or omit to append. |
Long-term memory sections — use section parameter to target:
memory_write target=long_term section="Preferences" content="- Prefers dark theme\n- Terminal-first tools"
This replaces the content under ## Preferences. If the section doesn't exist, it's created.
Daily log entries — auto-timestamped:
memory_write target=daily content="Completed the auth refactor. Using JWT with RS256."
Creates ### HH:MM entry in today's file.
memory_search
Full-text search across MEMORY.md and all daily logs.
memory_search query="JWT" limit=10
Returns matching lines with ±1 line of context, grouped by file.
When to Write Memory
Always write to long-term memory when:
- User explicitly says "remember this", "save this", "note that..."
- You learn a new preference, convention, or decision
- A significant architectural or design choice is made
- You discover something about the user's workflow or environment
Always write to daily log when:
- Starting or completing significant work
- Making key decisions during a task
- Encountering and resolving blockers
- At the end of a work session (summarize what was done + next steps)
Section organization for MEMORY.md
Keep MEMORY.md well-organized with clear sections:
# Long-Term Memory
## About [User]
- Key facts, role, location, interests
## Preferences
- Communication style, tool preferences, conventions
## Active Focus
- Current projects and priorities (update as they shift)
## Decisions & Conventions
- Coding conventions, workflow rules, architectural decisions
## People & Relationships
- Key contacts and collaborators
## Recurring Patterns
- Things frequently asked about or worked on
Memory Hygiene
Periodically review and clean up memory:
- Deduplicate — Check for repeated sections in MEMORY.md (use
memory_read target=long_term) - Archive stale info — Remove outdated decisions or completed project references
- Consolidate daily logs — Important patterns from daily logs should be promoted to MEMORY.md
- Keep sections focused — Each
## Sectionshould have a clear purpose
System Prompt Injection
At each agent turn, the extension automatically injects into the system prompt:
- Full MEMORY.md content
- Yesterday's daily log (if exists)
- Today's daily log (if exists)
This means the agent always has recent context without needing to call memory_read.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
