engram

engram is a skill for Claude Code, Codex from EngramMemory/engram-memory. It costs 29 tokens per session (3,134 once invoked), scanned A, original, no licence file.

A persistent memory system for AI agents that saves, searches, recalls, and removes information between sessions. It uses Qdrant, a database for vector-based search, and FastEmbed, a tool that turns text into searchable numerical representations.

In plain words
What is it for?
Use it to store project facts or user preferences, search related memories, recall them later, and forget outdated information.
Why use it?
It lets an agent retain useful context after a session ends instead of starting with an empty memory each time.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to store project facts or user preferences, search related memories, recall them later, and forget outdated information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/engrammemory/engram-memory/openclaw
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.

Any agent
npx skills add EngramMemory/engram-memory --skill openclaw
Clone the repo
git clone --depth 1 https://github.com/EngramMemory/engram-memory

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.

agentmods badge for engram

README.md
[![agentmods](https://agentmods.dev/badge/skills/engrammemory/engram-memory/openclaw/github.svg)](https://agentmods.dev/skills/engrammemory/engram-memory/openclaw)
Your own site
<a href="https://agentmods.dev/skills/engrammemory/engram-memory/openclaw"><img src="https://agentmods.dev/badge/skills/engrammemory/engram-memory/openclaw/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for engram

Your own site · 80×15
<a href="https://agentmods.dev/skills/engrammemory/engram-memory/openclaw"><img src="https://agentmods.dev/badge/skills/engrammemory/engram-memory/openclaw.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,134 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 5.1 $0.00029 $0.03134
Opus 5.5 $0.00012 $0.01254
Sonnet 5.5 $0.00006 $0.00627
Haiku 4.5 $0.00003 $0.00313

Measured 1mo ago against content hash bd4824da967d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engram scanned grade A with 1 finding 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (plugin.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl "http://localhost:6333/collections/agent-memory/points/scroll" \
skills/openclaw/SKILL.md · 492 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

2 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.

  1. 1mo ago First seen · 492 lines · 29 tokens per session scan A bd4824da967d

Subscribe to this mod's changes

engram is a skill published in the GitHub repository EngramMemory/engram-memory (38 stars, last pushed 4mo ago), with no licence file. It adds 29 tokens to every session and 3,134 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories