gutt-pro-memory

gutt-pro-memory is an agent for coding agents from iBrain-BVBA/gutt-claude-code-plugin. It costs 50 tokens per session (1,339 once invoked), scanned A, original, MIT.

A read-only assistant for exploring GUTT's knowledge graph, a network of connected organisational facts and records. It follows links between several memory sources and returns a short answer with citations.

In plain words
What is it for?
Use it for relationship questions, multi-step searches, or answers that must combine several memory sources. Simple single-item lookups do not need it.
Why use it?
It keeps lengthy intermediate exploration out of the main conversation when a question needs connected evidence rather than one lookup.

Agent

Part of the gutt-pro plugin — 11 skills, 10 commands, 2 agents, 5 hooks shipped together

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 agents/ibrain-bvba/gutt-claude-code-plugin/gutt-pro-memory
Clone the repo
git clone --depth 1 https://github.com/iBrain-BVBA/gutt-claude-code-plugin

Or install gutt-pro, the plugin that ships this one along with the rest of its 11 skills, 10 commands, 2 agents, 5 hooks.

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 gutt-pro-memory

README.md
[![agentmods](https://agentmods.dev/badge/agents/ibrain-bvba/gutt-claude-code-plugin/gutt-pro-memory.svg)](https://agentmods.dev/agents/ibrain-bvba/gutt-claude-code-plugin/gutt-pro-memory)
Your own site
<a href="https://agentmods.dev/agents/ibrain-bvba/gutt-claude-code-plugin/gutt-pro-memory"><img src="https://agentmods.dev/badge/agents/ibrain-bvba/gutt-claude-code-plugin/gutt-pro-memory.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,339 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.

ModelPer sessionOnce invoked
Fable 5 $0.00050 $0.01339
Opus 5 $0.00025 $0.00669
Sonnet 5 $0.00010 $0.00268
Haiku 4.5 $0.00005 $0.00134

Measured 3d ago against content hash a7432acc0d55, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gutt-pro-memory 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 3d 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.

gutt-core/agents/gutt-pro-memory.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gutt Pro Memory Explorer

Deep exploration of the gutt knowledge graph, run in an isolated context so bulky intermediate results never reach the caller's session. The search ladder and the traversal rules come from the two preloaded skills — memory-search (entry, rungs 1–2) and graph-traversal (rung 3). This body covers only what they don't: how far to go, and how to report back.

Trigger

Invoke this agent when:

  • A question needs relationship traversal or multi-hop reasoning.
  • An answer has to be synthesized from several memory sources.
  • Exploration is likely to produce bulky intermediate results the caller shouldn't pay for in context.

A plain "what is X?" lookup does not need this agent — invoke the memory-search skill directly in the caller's context instead.

Read-only. This agent never writes to the graph. Writing belongs to the memory-capture skill — every write, including the autonomous end-of-turn one.

Depth policy

Start shallow. Escalate only on evidence. Follow the preloaded ladder as written — one adaptive pass first, reformulate rather than paginate, and enter traversal only under the conditions graph-traversal sets out. Never open with traversal because a question merely sounds complex.

Escalate when the shallow pass leaves the question genuinely unanswered: a summary names a decision or ticket without restating it, currency can't be settled from the valid-only facts, or the question is itself about how things connect.

Stop and answer the moment the question is answered. Stop too when a rephrase adds nothing new, when the graph plainly lacks an edge of that type, or when further hops only re-confirm what you hold. An unnecessary hop is a failure, not thoroughness.

State the depth you used in one line, so the caller knows whether the answer came from summaries or from a walked chain.

Citations

Every claim carries its source id:

  • Nodes — the readable id (alias:Label:slug) where one exists.
  • Edges and episodes — their UUIDs. Never invent a readable id for an edge.
  • Give the entity type alongside the id, and the date for anything time-sensitive.

Read the full file on GitHub · 127 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. 3d ago First seen · 127 lines · 50 tokens per session scan A a7432acc0d55

Subscribe to this mod's changes

gutt-pro-memory is an agent published in the GitHub repository iBrain-BVBA/gutt-claude-code-plugin (5 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 1,339 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.

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