@pukljak/pi-memory
v0.1.4
Published
Persistent memory and observation timeline extension for Pi coding agent
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Pi Memory
Persistent memory for Pi coding agent.
Pi Memory helps Pi remember your project over time: decisions, preferences, rules, gotchas, and what changed. It keeps context across sessions so you repeat yourself less and get more consistent output.
Install
pi install npm:@pukljak/pi-memoryRestart Pi after install.
Important: include the
@pukljak/scope.pi-memorywithout scope is a different npm package.
What this package is
Think of Pi Memory as a long-term context layer for coding work.
It does 4 things continuously:
- Learns from your sessions (prompts, tool outputs, assistant responses)
- Stores what matters (facts, patterns, lessons, preferences, decisions)
- Adjusts memory quality using feedback + outcomes (accepted/rejected suggestions, test pass/fail signals, freshness)
- Injects relevant memory before new tasks
So when you ask for a new feature next week, Pi can still remember key architectural decisions and team conventions.
Core mode (simple + high value)
If you only use these, you already get strong value:
/memory.status— quick health check/memory.search <query>— find known context/memory.timeline <observation-id>— inspect local chronology/memory.ui— open the local memory web UI
Typical daily flow
- Work normally with Pi.
- If needed, ask:
/memory.search billing retries - Inspect details with
/memory.timeline <id>. - Pi Memory learns from the outcome automatically.
Advanced mode (playbook + architecture memory)
Use this when you want Pi to become very opinionated about your codebase quality.
Playbook commands
/memory.rule add <text>/memory.preference add <text>/memory.playbook
Hygiene controls
/memory.forget <id|text>
UI
/memory.ui
Local web UI includes memory search, timeline view, playbook buckets, understanding summaries, and a Superpowers tab.
Superpowers tab
If you use Superpowers workflows (brainstorming/plans/subagent execution), Pi Memory learns from those loops too.
- Captures Superpowers-style decisions/preferences/constraints from session outputs
- Shows them in a dedicated Superpowers tab
- Supports type filtering (
decision,preference,constraint,open-question) - When a similar question comes back later, Pi Memory suggests prior answers
- Suggestions track feedback (
accepted/rejected) and ranking improves over time - Low-quality stale suggestions are automatically suppressed
Full command list
Core
/memory.status/memory.search <query>/memory.timeline <observation-id>
Playbook
/memory.rule add <text>/memory.preference add <text>/memory.playbook
Maintenance
/memory.forget <id|text>
UI
/memory.ui
Tools exposed to the agent
memory_searchmemory_remembermemory_forgetmemory_statsmemory_timeline
Storage
~/.pi/pi-memory/memory.json~/.pi/pi-memory/summary-cache.json
Notes
- Memory injection is compact to reduce token overhead.
- Conflict and duplicate handling are built in.
- Superpowers suggestions have quality gates (confidence + low-quality suppression).
- Outcome-aware learning adjusts memory confidence from test/tool signals.
- Private-tagged content is sanitized before persistence.
Updating
You can update manually anytime:
pi update npm:@pukljak/pi-memoryPi Memory also performs a lightweight npm version check on session start (max once per ~12h) and shows an in-app reminder when a newer version is available.
Development
npm install
npm test
npm pack --dry-runIf you use Pi on the same codebase every day, this extension compounds in value over time.
