ct-memory

ct-memory is a skill for Claude Code, Codex from kryptobaseddev/cleo. It costs 18 tokens per session (571 once invoked), scanned A, original, MIT.

A memory protocol for coding agents that stores and retrieves past decisions, mistakes, completed work, and relevant context.

In plain words
What is it for?
Use it to recall project history, check previous decisions, find warnings, and record important learnings.
Why use it?
It reduces repeated work and helps the agent avoid forgetting earlier information or inventing details.

Skill for Claude CodeCodex

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 skills/kryptobaseddev/cleo/ct-memory
Any agent
npx skills add kryptobaseddev/cleo --skill ct-memory
Clone the repo
git clone --depth 1 https://github.com/kryptobaseddev/cleo

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 ct-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/kryptobaseddev/cleo/ct-memory.svg)](https://agentmods.dev/skills/kryptobaseddev/cleo/ct-memory)
Your own site
<a href="https://agentmods.dev/skills/kryptobaseddev/cleo/ct-memory"><img src="https://agentmods.dev/badge/skills/kryptobaseddev/cleo/ct-memory.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 571 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 $0.00018 $0.00571
Opus 5 $0.00009 $0.00285
Sonnet 5 $0.00004 $0.00114
Haiku 4.5 $0.00002 $0.00057

Measured yesterday against content hash 7624753c0e7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ct-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 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.

packages/skills/skills/ct-memory/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ct-memory -- Brain Memory Protocol

Purpose

Ensures LLM agents never start conversations with amnesia. Provides structured memory access through CLEO's brain system using progressive disclosure.

Tier 0: Session Start (ALWAYS run on first interaction)

Use CLI (cleo) for all memory operations.

  1. The memory bridge (.cleo/memory-bridge.md) is already loaded via CLEO-INJECTION.md @-reference
  2. If the bridge content feels stale (>2 hours old), refresh:
    • cleo memory find "session task decision" --limit 10
  3. Check for anti-patterns to avoid:
    • cleo memory find "mistake error avoid warning" --limit 5
  4. If results are relevant, fetch details:
    • cleo memory fetch O-xxx O-yyy

Tier 1: During Work (run when topic-relevant)

Before Making Decisions

  • cleo memory find "decision ADR architecture" --limit 5
  • Check if a similar decision was already made

Before Repeating Work

  • cleo memory find "{current-topic}" --limit 10
  • Avoid re-doing work that's already been completed

After Completing Significant Work

  • cleo memory observe "Completed X using approach Y. Key learning: Z" --title "Work completion"

Anti-Hallucination Protocol

Before stating facts about the codebase or project:

  1. Search brain:
    • cleo memory find "{claim-topic}" --limit 5
  2. If results exist, verify your claim matches stored knowledge
  3. If no results, state your uncertainty clearly

Tier 2: Deep Recall (run when specifically needed)

Full Timeline

  • cleo memory timeline O-xxx --before 5 --after 5
  • Understand chronological context around a specific observation

Cross-Project Knowledge (via NEXUS)

  • cleo nexus search "pattern" --scope global
  • Search across all CLEO-managed projects

Token Budget Guidelines

Operation ~Tokens When
memory-bridge.md (auto-loaded) 200-400 Always (free)
cleo memory find 50/hit Discovery
cleo memory fetch 500/entry Details
cleo memory timeline 200-500 Context

Read the full file on GitHub · 78 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. yesterday First seen · 78 lines · 18 tokens per session scan A 7624753c0e7d

Subscribe to this mod's changes

ct-memory is a skill published in the GitHub repository kryptobaseddev/cleo (160 stars, last pushed 15d ago), licensed MIT. It adds 18 tokens to every session and 571 once invoked, about $0.0001 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 2026-09-03.

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