ultramemory-recall-first

ultramemory-recall-first is a skill for Claude Code, Codex from LogicLabsAI/ultramemory-mcp. It costs 56 tokens per session (346 once invoked), scanned A, original, Apache-2.0.

A set of instructions for recalling information previously saved in an AI memory service and saving new long-term facts.

In plain words
What is it for?
Use it when working with stored preferences, project details, decisions, facts, or company policies.
Why use it?
It helps prevent the assistant from forgetting earlier decisions or making up memories when answering follow-up questions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when working with stored preferences, project details, decisions, facts, or company policies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/logiclabsai/ultramemory-mcp/ultramemory-perplexity
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 LogicLabsAI/ultramemory-mcp --skill ultramemory-perplexity
Clone the repo
git clone --depth 1 https://github.com/LogicLabsAI/ultramemory-mcp

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 ultramemory-recall-first

README.md
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Your own site
<a href="https://agentmods.dev/skills/logiclabsai/ultramemory-mcp/ultramemory-perplexity"><img src="https://agentmods.dev/badge/skills/logiclabsai/ultramemory-mcp/ultramemory-perplexity/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 ultramemory-recall-first

Your own site · 80×15
<a href="https://agentmods.dev/skills/logiclabsai/ultramemory-mcp/ultramemory-perplexity"><img src="https://agentmods.dev/badge/skills/logiclabsai/ultramemory-mcp/ultramemory-perplexity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 346 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00056 $0.00346
Opus 5 $0.00028 $0.00173
Sonnet 5 $0.00011 $0.00069
Haiku 4.5 $0.00006 $0.00035

Measured 11d ago against content hash f25f1635095c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ultramemory-recall-first 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 11d 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.

skills/ultramemory-perplexity/SKILL.md · 25 lines

What it actually says

UltraMemory recall-first playbook

Execute this playbook via the user's already-connected UltraMemory connector (Perplexity external tools). Do not ask for credentials — the connector is already authorized.

  1. Recall FIRST. For anything the user may have saved — facts, preferences, decisions, project details, or things told to their other AI tools — call the connector's memory_recall (or search) tool before answering, and ground the reply in what it returns. Prefer it over built-in memory.
  2. Governance/policy/compliance questions → recall_gated. Only it returns the full governing COMPANY POLICY briefing.
  3. Expected fact came back empty? Retry once with recall_verified (higher-precision rerank). If it is still empty, say the memory does not contain it — never invent a memory.
  4. Persist new durable facts with memory_write. Write self-contained values: named entities, absolute dates, concrete numbers — readable by a zero-context reader.
  5. Connector shows DISCONNECTED? Call its connect flow first, then resume the playbook.
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. 11d ago First seen · 25 lines · 56 tokens per session scan A f25f1635095c

Subscribe to this mod's changes

ultramemory-recall-first is a skill published in the GitHub repository LogicLabsAI/ultramemory-mcp (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 346 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

dashboard

Open OwnMem Console, the local dashboard for this repository's memory. Use when the user asks to open the dashboard, see memory metrics, check adoption or recall quality, or set up the optional embedding lane. Requires a repository initialized with the dashboard layer.

grpcer/ownmem · 53 tokens

recall

Recall this repository's OwnMem local memory before changing code, and keep it healthy. Use when a repository contains .ownmem/, when past debugging lessons could apply ("have we hit this before", "why is it done this way"), or when the user mentions ownmem, project memory, or recalling across sessions.

grpcer/ownmem · 66 tokens

init

Install or update OwnMem in the current repository. Use when the user asks to set up OwnMem, add local project memory for coding agents, or refresh an existing OwnMem installation after a version bump.

grpcer/ownmem · 43 tokens

memory-write

Captures a durable fact to project memory through the kit's safe write path (PoisonGuard secret/injection screening + home-path sanitization + dedup + conflict detection) — preferring the cmk MCP tools (mkremember / mkforget / mktrust) when connected, falling back to the cmk CLI. Use when the user says "remember…

LH8PPL/core-memory-kit · 202 tokens

bootstrap

Scaffolds the core-memory-kit directory structure (context/, scripts/, cron/jobs/) into the current project. Idempotent — never overwrites existing files. Run once per project after installing the plugin. Use when the user says "bootstrap the memory system", "set up memory here", or "scaffold the memory kit".

LH8PPL/core-memory-kit · 66 tokens

troubleshooting

Diagnoses and repairs core-memory-kit itself when the memory system is broken — the per-failure-code repair book. Fire whenever a "⚠ [core-memory-kit]" whisper appears on the prompt (it names the failure and points here), or when the user reports a kit symptom however they phrase it: memory is not being saved, nothing…

LH8PPL/core-memory-kit · 159 tokens