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engram CLAUDE.md

engram CLAUDE.md is an instructions file for coding agents from HBarefoot/engram. It costs 6,531 tokens per session, scanned A, original, MIT.

Repository guidance for Engram, a small software library that gives AI agents memory across separate sessions. It explains the project’s purpose, tools, architecture, and development limits.

In plain words
What is it for?
Use it when changing Engram’s JavaScript, SQLite database, MCP server, REST API, command-line tool, dashboard, or tests.
Why use it?
It gives the coding agent the background needed to work consistently in an unfamiliar codebase. This reduces guesses about the technology, file structure, and rules.

Instructions file

not rated 7 1mo ago A scan 6,531 tokens original MIT
View the source file HBarefoot/engram
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 instructions/hbarefoot/engram/claude-md
Clone the repo
git clone --depth 1 https://github.com/HBarefoot/engram

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.

agentmods badge for engram CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/hbarefoot/engram/claude-md.svg)](https://agentmods.dev/instructions/hbarefoot/engram/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/hbarefoot/engram/claude-md"><img src="https://agentmods.dev/badge/instructions/hbarefoot/engram/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 6,531 This file is loaded in full into every session.
When invoked 6,531 The same file — it is already loaded in full.
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.

ModelPer sessionOnce invoked
Fable 5 $0.06531 $0.06531
Opus 5 $0.03266 $0.03266
Sonnet 5 $0.01306 $0.01306
Haiku 4.5 $0.00653 $0.00653

Measured 4d ago against content hash 0f7fa6568bb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

engram CLAUDE.md 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 4d 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.

CLAUDE.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Engram is a lightweight, embeddable memory layer that gives AI agents persistent, cross-session memory. It's designed as "SQLite for agent state" - any agent framework can plug into it.

Core Concept: Engram is NOT a RAG system, vector database, or chatbot. It answers "what does this specific person need me to know right now, given everything I've learned about how they work?" - like a colleague who's worked with you for years.

Tech Stack

  • Runtime: Node.js 20+ (ESM modules)
  • Database: better-sqlite3 (synchronous, embedded, zero-config)
  • Embeddings: all-MiniLM-L6-v2 via @xenova/transformers (~23MB, CPU-only)
  • MCP Server: @modelcontextprotocol/sdk (primary interface)
  • REST API: Fastify
  • CLI: Commander.js
  • Dashboard: React 18 + Tailwind CSS 3 + Vite
  • Testing: Vitest

Critical Constraints:

  • Plain JavaScript only (no TypeScript in v1)
  • No Express (use Fastify)
  • No ORMs (raw SQL with better-sqlite3)
  • No cloud dependencies, Docker requirements, or Python dependencies
  • Must work fully offline

Architecture

Three-layer architecture:

INTERFACES: MCP Server (primary) | REST API | CLI | GUI
     ↓
CORE ENGINE: extract/ | memory/ | embed/
     ↓
STORAGE: ~/.engram/memory.db (SQLite) | config.json | models/

Core Components

  • memory/store.js - SQLite CRUD operations
  • memory/recall.js - Hybrid search (embedding similarity + FTS + recency)
  • memory/consolidate.js - Duplicate detection, decay, contradiction flagging
  • extract/rules.js - Zero-dependency rule-based fact extraction
  • extract/secrets.js - Secret/sensitive data detection (CRITICAL: never store API keys)
  • embed/index.js - Embedding generation + model management (lazy download)
  • memory/feedback.js - Per-memory helpful/unhelpful votes; derives feedback_score, may auto-adjust confidence
  • memory/context.js - Backs the engram_context MCP tool; markdown/xml/json/plain output with token budgeting
  • memory/health.js, memory/analytics.js - Back the dashboard Health/Statistics pages and /api/analytics/* endpoints
  • server/mcp.js - MCP server with 6 tools (remember, recall, forget, feedback, context, status)
  • server/rest.js - Fastify REST API + dashboard serving
  • import/ - Document import: wizard.js, index.js, and 8 parsers under parsers/ (cursorrules, claude, package, git, ssh, shell, obsidian, env)

Read the full file on GitHub · 371 lines

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.

  1. 4d ago First seen · 371 lines · 6,531 tokens per session scan A 0f7fa6568bb4

Subscribe to this mod's changes

engram CLAUDE.md is an instructions file published in the GitHub repository HBarefoot/engram (7 stars, last pushed 1mo ago), licensed MIT. It adds 6,531 tokens to every session, about $0.0327 per session on Opus 5. 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 2026-08-31.

Memory and contextai-agentsai-memoryclaudedeveloper-toolsembeddingsjavascript
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