pi-lodestone
Persistent memory for the Pi coding agent, tuned for local LLMs. Curated decisions, preferences, and workflows that survive future sessions, with cheap context-aware injection.
Package details
Install pi-lodestone from npm and Pi will load the resources declared by the package manifest.
$ pi install npm:pi-lodestone- Package
pi-lodestone- Version
0.1.0- Published
- Jun 6, 2026
- Downloads
- not available
- Author
- koudo
- License
- MIT
- Types
- extension, skill
- Size
- 89.7 KB
- Dependencies
- 1 dependency · 1 peer
Pi manifest JSON
{
"extensions": [
"./extension/index.ts"
],
"skills": [
"./skills/lodestone"
]
}Security note
Pi packages can execute code and influence agent behavior. Review the source before installing third-party packages.
README
Lodestone
Persistent memory for the Pi coding agent, tuned for local LLMs.
A lodestone is a naturally magnetized stone — the original persistent memory and the heart of a compass. Lodestone keeps a small, curated set of decisions, preferences, and workflows so they survive across sessions, and quietly points the agent back to them when they're relevant.
It is intentionally small (low hundreds of entries) and cheap to inject, so it stays practical on locally-hosted models where every token of context counts.
Install
pi install npm:pi-lodestone
This registers the lodestone skill plus three tools — memory-search,
memory-get, memory-add — and a /memory slash command.
What it does
- Curated, not a transcript dump. Stores durable decisions/preferences/workflows
in a single append-only
~/.pi/agent/memory/decisions.jsonl. No tool-result auto-capture, no per-turn git work — nothing on the hot path. - Context-aware injection. Before a turn, relevant memories are added as a non-persistent preamble on the latest user message (keeping the system prompt stable for prefix-cache reuse). Generic instruction words are dropped, multi-token evidence is required, and long prompts are damped to avoid false positives.
- Local-LLM first. Lexical, deterministic scoring (no embeddings/model calls), small snippets, and tight token budgets keep retrieval fast and predictable.
- Privacy guards.
<private>…</private>blocks are stripped before storage and common secret patterns (Bearer …,sk-…,TOKEN=…) are masked automatically.
Tools
memory-search(query, limit?, projectOnly?) search active memory; returns IDs + snippets
memory-get(ids, maxChars?) fetch full bodies for selected IDs
memory-add(title, text, tags?, important?) persist a durable decision
Configuration
All behavior is environment-variable configurable (injection limits, score
thresholds, snippet sizes, store location, an optional Markdown-vault export, …).
See skills/lodestone/README.md for the full
operational reference, slash-command catalog, and environment-variable table.
License
MIT — see LICENSE.