A persistent knowledge store for saving decisions, patterns, project conventions, and outcomes as connected records. It can be searched across coding sessions.

Recording architectural decisions, anti-patterns, tool preferences, workflow results, and project conventions for future sessions.

It prevents useful context from being lost when a session ends, so later work can reuse earlier decisions and lessons.

remember — Skill for Claude Code and Codex by yonatangross: A persistent knowledge store for saving decisions, patterns, project…

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/yonatangross/orchestkit/remember

Any agent

npx skills add yonatangross/orchestkit --skill remember

Clone the repo

git clone --depth 1 https://github.com/yonatangross/orchestkit

Made for: Claude Code, Codex.

Or install ork, the plugin that ships this one along with the rest of its 106 skills, 35 commands, 36 agents, 32 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/yonatangross/orchestkit/remember.svg)](https://agentmods.dev/skills/yonatangross/orchestkit/remember)

Your own site

<a href="https://agentmods.dev/skills/yonatangross/orchestkit/remember"><img src="https://agentmods.dev/badge/skills/yonatangross/orchestkit/remember.svg" alt="Measured on agentmods" height="20"></a>

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,393 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.

Model	Per session	Once invoked
Fable 5	$0.00062	$0.02393
Opus 5	$0.00031	$0.01196
Sonnet 5	$0.00012	$0.00479
Haiku 4.5	$0.00006	$0.00239

Measured today against content hash d6583825db8d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

remember 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 today.

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.

plugins/ork/skills/remember/SKILL.md · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Remember - Store Decisions and Patterns

Filesystem vs MCP memory (Opus 5 guidance, CC 2.1.111+): Opus 5 reads filesystem memory reliably across multi-session work. Use that to your advantage:

Short-lived handoff state (current phase, task in-progress, pending approvals) → .claude/chain/*.json files. Small, structured, session-scoped.

Durable auto-memory (user facts, feedback, project conventions) → ~/.claude/projects/<slug>/memory/*.md files with a one-line index in MEMORY.md. Read on every session start.

Cross-session knowledge graph (typed entities + relations for query traversal) → MCP memory server (this skill's default path). Best when future sessions will search for patterns.

The three are complementary, not alternatives. Prefer fs for anything you'd want to grep; prefer MCP for anything you'd want to traverse.

Store important decisions, patterns, or context in the knowledge graph for future sessions. Supports tracking success/failure outcomes for building a Best Practice Library.

Argument Resolution

TEXT = "$ARGUMENTS"        # Full argument string, e.g., "We use cursor pagination"
FLAG = "$ARGUMENTS[0]"     # First token — check for --success, --failed, --category, --agent
# Parse flags from $ARGUMENTS[0], $ARGUMENTS[1] etc. (CC 2.1.59 indexed access)
# Remaining tokens after flags = the text to remember

Architecture

The remember skill uses knowledge graph as storage:

Knowledge Graph: Entity and relationship storage via mcp__memory__create_entities and mcp__memory__create_relations - FREE, zero-config, always works

Benefits:

Zero configuration required - works out of the box
Explicit relationship queries (e.g., "what does X use?")
Cross-referencing between entities
No cloud dependency

Automatic Entity Extraction:

Extracts capitalized terms as potential entities (PostgreSQL, React, pgvector)
Detects agent names (database-engineer, backend-system-architect)
Identifies pattern names (cursor-pagination, connection-pooling)
Recognizes "X uses Y", "X recommends Y", "X requires Y" relationship patterns

Read the full file on GitHub · 230 lines

Files

What ships with it

10 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.

today First seen · 230 lines · 62 tokens per session scan A d6583825db8d

Subscribe to this mod's changes

remember is a skill published in the GitHub repository yonatangross/orchestkit (228 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 2,393 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 2026-09-05.

LLM Memory and context agents ai-development best-practices claude-code claude-plugin decisions graph-memory langgraph patterns

engram-memory

Give the agent durable, local memory with engram — recall past decisions before answering, and persist new decisions, preferences and facts as they happen. Use when work spans sessions or the user says "remember".

jnMetaCode/skillet · 45 tokens

knowledge_store_skill

Skill for working with local .knowledge.yaml files via KnowledgeStore. Use this when you need to recall, search, or manage directory-local memories and knowledge links stored in plain YAML alongside the user's project files. KnowledgeStore is directory-scoped. Each directory that contains a .knowledge.yaml file…

NPC-Worldwide/npcpy · 346 tokens

knowledge_index_skill

Skill for using the KnowledgeIndex registry to discover which directories contain .knowledge.yaml files without walking the filesystem. KnowledgeIndex is a lightweight SQLite cache. It maps directory paths to file metadata (mtime, memorycount, linkcount). The database path is caller-provided — npcpy does not hardcode…

NPC-Worldwide/npcpy · 272 tokens

remember