Metis: Agent for Claude Code

.claude/agents/memory-curator.md

memory-curator is an agent for Claude Code from SVerITG/Metis. It costs 0 tokens per session (507 once invoked), scanned A, original, AGPL-3.0.

A memory-management specialist for an assistant's stored project context. It can consolidate past sessions, retrieve earlier decisions, and check the health of that stored memory.

In plain words
What is it for?
Use it before starting work to recover past context, after a session to save important information, or when checking whether stored memories are complete and useful.
Why use it?
It reduces the need to repeat previous discussions and helps find out what was already decided or recorded.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is SVerITG/Metis's own configuration. It tells Claude Code how to work on Metis itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Metis configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SVerITG/Metis. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SVerITG/Metis/main/.claude/agents/memory-curator.md
Clone the repo
git clone --depth 1 https://github.com/SVerITG/Metis

Made for: Claude Code.

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 memory-curator

README.md
[![agentmods](https://agentmods.dev/badge/agents/sveritg/metis/memory-curator.svg)](https://agentmods.dev/agents/sveritg/metis/memory-curator)
Your own site
<a href="https://agentmods.dev/agents/sveritg/metis/memory-curator"><img src="https://agentmods.dev/badge/agents/sveritg/metis/memory-curator.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 507 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00507
Opus 5 $0.00000 $0.00253
Sonnet 5 $0.00000 $0.00101
Haiku 4.5 $0.00000 $0.00051

Measured yesterday against content hash bfd0b74db8f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

memory-curator 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 yesterday.

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/agents/memory-curator.md · 50 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. yesterday First seen · 50 lines · 0 tokens per session scan A bfd0b74db8f2

Subscribe to this mod's changes

memory-curator is an agent published in the GitHub repository SVerITG/Metis (3 stars, last pushed yesterday), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 507 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 2026-09-05.

Related

Other agents, from other repositories

session-learning

Extract learnings, patterns, and insights from work sessions. Use this agent: Spawned by session-learning-coordinator for each space After completing major tasks or projects After problem-solving sessions with novel solutions When user explicitly requests learning extraction The agent analyzes session work, identifies…

datacore-one/datacore · 177 tokens

session-learning-coordinator

Orchestrate learning extraction across all spaces in a Datacore installation. Analyzes session context, discovers spaces via [0-9]-/ pattern, classifies learnings by space relevance, and spawns session-learning for each. Use this agent at end of /wrap-up, /gtd-daily-end, or /tomorrow commands.

datacore-one/datacore · 76 tokens

conversation-processor

Agent "conversation-processor" from datacore-one/datacore, covering agent context, when to reference dip-0014, quick reference, related dips and related agents.

datacore-one/datacore · 24 tokens

context-maintainer

Maintain CLAUDE.md and layered context files across the Datacore system. Use this agent: During /gtd-weekly-review for comprehensive context health check When user asks to "update context" or "check CLAUDE files" After agents, commands, or modules are added/removed To validate private content isn't leaking into public…

datacore-one/datacore · 101 tokens

learning-classifier

Process new learning file entries, deduplicate against PLUR engrams, and create new engrams with proper classification. Detects recurrences, scope promotions, contradictions, and novel patterns.

datacore-one/datacore · 41 tokens

evaluator-archivist

Evaluates how well the knowledge base was used. Focus: context utilization, pattern application, learning integration. Core evaluator - always runs for every task.

datacore-one/datacore · 37 tokens