Documentation for a persistent memory layer: a local database that stores project observations and indexes code and documents for later lookup.

Use it to save and search notes, inspect code symbols and relationships, analyze documentation, and connect related project knowledge.

It helps a coding agent retain decisions, discoveries, and project knowledge between sessions instead of starting with no history.

docs — Skill for Claude Code and Codex by GeneGulanesJr: Documentation for a persistent memory layer: a local database…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/genegulanesjr/lapis/docs

Any agent

npx skills add GeneGulanesJr/LaPis --skill docs

Clone the repo

git clone --depth 1 https://github.com/GeneGulanesJr/LaPis

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/genegulanesjr/lapis/docs.svg)](https://agentmods.dev/skills/genegulanesjr/lapis/docs)

Your own site

<a href="https://agentmods.dev/skills/genegulanesjr/lapis/docs"><img src="https://agentmods.dev/badge/skills/genegulanesjr/lapis/docs.svg" alt="Measured on agentmods" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 554 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5	$0.00000	$0.00554
Opus 5	$0.00000	$0.00277
Sonnet 5	$0.00000	$0.00111
Haiku 4.5	$0.00000	$0.00055

Measured 5d ago against content hash e3911b3c7733, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

docs scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

docs/SKILL.md · 32 lines

How it starts

The opening of the file, as written. The whole thing — 32 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Layer Skill

This is the companion skill doc for the skills/memory-layer/SKILL.md extension registration. For the authoritative and complete skill reference, see ../skills/memory-layer/SKILL.md.

Overview

The memory layer provides persistent memory capabilities for the Pi coding agent. It runs as a Pi extension with a local SQLite backend, providing observation CRUD, code indexing, code analysis, doc indexing, trust scoring, and session lifecycle management — all without cloud dependencies or API keys.

The same backend also powers a Claude Code CLI integration (lapis claude-code install) that wires MCP tools plus lifecycle hooks for context injection, guardrails, passive capture, and session tracking. See CLAUDE_CODE.md.

Key Capabilities

Declarative memory — save, search, update, and delete observations (decisions, bugfixes, patterns, discoveries).
Code indexing — web-tree-sitter (WASM) parses JS/TS/TSX/Go/Python/Rust/SQL for semantic symbol lookup.
Code analysis — import graphs, call hierarchies, blast radius, dead code, complexity, hotspots, cycles, importance, coupling, signal chains, layer violations, AST patterns, provenance, untested detection, PR risk, and unified coding context.
Doc indexing — Markdown sections, links, glossary terms, code examples, broken link detection, tutorial path reconstruction.
Trust scoring — memories linked to changed code lose confidence; stable linked code recovers trust.
HTTP server — optional REST API for programmatic access to the Aurex domain model and code analysis.
Auto-detection — the extension automatically captures decisions, bugfixes, and discoveries from assistant messages.
Claude Code bridge — first-class CLI integration via MCP + hooks (lapis claude-code install).

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

5d ago First seen · 32 lines · 0 tokens per session scan A e3911b3c7733

Subscribe to this mod's changes

docs is a skill published in the GitHub repository GeneGulanesJr/LaPis (41 stars, last pushed 10d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 554 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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Review and sharpen persistent memory so it compounds instead of accumulating. Use when pruning pi-hermes-memory entries, doing monthly memory hygiene, or when the same lesson has been recorded multiple times.

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session-handoff

Hand off work to another Pi session — write a handoff doc, save key decisions to memory, and notify the target session via intercom. Use when a session is getting long, when you need to continue work in a fresh context, or when transferring work between projects/sessions. Composes handoff.ts (doc writer) + memory…

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create-notes

Write a note to {shareddir}/notes/ that future agents can actually act on. Use after every coral eval, when a heartbeat (reflect / consolidate / pivot) asks for a note, or when you discover a grader / build / runtime issue that future agents will hit. Covers 4 note variants (experiment / infra / focus / synthesis)…

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fabric-exec

Troubleshooting and advanced API reference for fabricexec TypeScript programs, dynamic providers, agents, and schema recovery. Routine pi. coding calls are documented by ambient guidance; load this skill only after an argument-shape error or when an advanced surface needs exact contracts.

monotykamary/pi-fabric · 61 tokens

fabric-fusion

Multi-model deliberation. Two to 8 distinct models answer in parallel with web-capable tools, then a judge compares consensus, contradictions, coverage gaps, unique insights, and blind spots. Act mode runs 1–4 read-only references, then one actor reconciles and executes. Use when the cost of being wrong justifies…

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docs