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Agent skill

Memory

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Execute extract and use project memories from previous sessions for context-aware assistance.

MITAuto-check passedAgent Workflows

Install Memory

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill memory -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace memory --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/memory .claude/skills/memory && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memory
GitHub stars
2.8k
Token cost
~1.3k tokens
SKILL.md length
469 words
Files
5 (incl. scripts, references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Execute extract and use project memories from previous sessions for context-aware assistance.

  • Works in 6 steps: Access stored memories. On session… → Match memories to current context. Scan… → Apply memories silently. Incorporate… → …
  • Recalling past decisions
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Runs Python scripts from its folder

What it does

Memory is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute extract and use project memories from previous sessions for context-aware assistance. Use when recalling past decisions, checking project conventions, or understanding user preferences. Trigger with phrases like "remember when", "like before", or "what was our decision about".

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `references/errors.md`, `references/examples.md` and `references/implementation.md`). Compatibility notes: Designed for Claude Code

It sits in Agent Workflows, covering Agent memory. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Recalling past decisions
  • Checking project conventions
  • Understanding user preferences
  • With phrases like remember when

Example prompts

  • “remember when”
  • “like before”
  • “what was our decision about”
  • “/memory”

Requirements

  • Python 3
  • Node.js
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Access stored memories. On session start, locate and read the memory file at .claude/memories/project_memory.json using the Read tool…
  2. Match memories to current context. Scan memory entries for keywords and topics relevant to the current task. Extract applicable decisions…
  3. Apply memories silently. Incorporate remembered preferences into responses and tool usage without announcing them. When a memory dictates…
  4. Store new memories. When significant decisions occur -- library selections, architectural choices, user-stated preferences, or tool…
  5. Resolve conflicts. When a stored memory contradicts a current explicit request, prioritize the current request. Flag the conflict if…
  6. Handle cleanup. When memory entries exceed 10, consolidate by removing noise (greetings, acknowledgments) and preserving high-value…

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Memory loads about 1.3k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 73 tokens; SKILL.md has 469 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 469 words, ~1,271 tokens.

Download SKILL.mdSave it as .claude/skills/memory/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
memory
description
Execute extract and use project memories from previous sessions for context-aware assistance. Use when recalling past decisions, checking project conventions, or understanding user preferences. Trigger with phrases like "remember when", "like before", or "what was our decision about".
allowed-tools
Read, Write
compatibility
Designed for Claude Code
version
1.21.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
community, memory

Memory

Overview

Memory provides persistent context across Claude Code sessions by storing and retrieving project decisions, user preferences, and coding conventions from a local JSON file. When a new session starts, stored memories load automatically so previously established patterns carry forward without re-explanation.

Prerequisites

  • Project memory file at .claude/memories/project_memory.json (created automatically on first memory save)
  • Read and Write permissions for the .claude/memories/ directory
  • Claude Never Forgets plugin installed (/plugin install yldrmahmet/claude-never-forgets)

Instructions

  1. Access stored memories. On session start, locate and read the memory file at .claude/memories/project_memory.json using the Read tool. Parse the JSON structure containing timestamped memory entries. See ${CLAUDE_SKILL_DIR}/references/implementation.md for the full retrieval workflow.
  2. Match memories to current context. Scan memory entries for keywords and topics relevant to the current task. Extract applicable decisions (e.g., "use pnpm instead of npm"), architectural patterns, library choices, and coding style preferences.
  3. Apply memories silently. Incorporate remembered preferences into responses and tool usage without announcing them. When a memory dictates a package manager, testing framework, or naming convention, follow it automatically.
  4. Store new memories. When significant decisions occur -- library selections, architectural choices, user-stated preferences, or tool rejections -- write them to the memory file with a timestamp. Add entries via the /remember command or through automatic capture of conversation signals.
  5. Resolve conflicts. When a stored memory contradicts a current explicit request, prioritize the current request. Flag the conflict if appropriate and update the memory entry to reflect the new decision. Remove outdated memories that no longer apply.
  6. Handle cleanup. When memory entries exceed 10, consolidate by removing noise (greetings, acknowledgments) and preserving high-value entries (preferences, decisions, corrections). The cleanup threshold is configurable in hooks/stop_cleanup.py.
Show full SKILL.md (193 more words)Show less

Output

  • Automatic loading of stored memories at session start
  • Silent application of remembered preferences to tool usage and responses
  • New memory entries written with timestamps for significant decisions
  • Consolidated memory file after cleanup (preserves important entries, removes noise)
  • Explicit memory listing via /memories command

Error Handling

ErrorCauseSolution
Memory file not foundFirst session or file deletedInitialize a new memory file at .claude/memories/project_memory.json with an empty JSON structure
Conflicting memoriesMultiple entries contradict each otherApply the most recent memory; suggest cleanup via /forget to remove outdated entries
Invalid memory formatFile corrupted or manually edited with syntax errorsBack up the existing file, recreate with valid JSON structure, restore recoverable entries
Permission deniedFile or directory lacks read/write permissionsCheck file permissions on .claude/memories/; request necessary access or use an alternative storage location

Examples

Automatic preference recall across sessions:

Session 1:
User: "Always use Vitest instead of Jest for this project"
→ Stored to project_memory.json

Session 2:
User: "Add tests for the auth module"
→ Memory loaded: "use Vitest instead of Jest"
→ Test files created with Vitest syntax automatically

Manual memory management:

bash
/remember "This project uses Tailwind CSS v4 with the Vite plugin"
/remember "Deploy to Cloudflare Workers, not Vercel"
/memories          # Lists all stored memories with timestamps
/forget "Vercel"   # Removes the Vercel-related memory

Tool rejection captured as correction:

set -euo pipefail
User declines a suggested `npm install` action
→ Memory stored: "User prefers pnpm over npm"
→ Future sessions use pnpm automatically

Resources

  • ${CLAUDE_SKILL_DIR}/references/implementation.md -- Step-by-step guide for accessing, applying, updating, and resolving memory conflicts
  • ${CLAUDE_SKILL_DIR}/references/errors.md -- Detailed error scenarios with recovery procedures
  • /remember [text] -- Add a new memory entry manually
  • /forget [text] -- Remove a matching memory from storage
  • /memories -- Display all currently stored memories with timestamps

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references) in skills/.curated/memory of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/errors.md
  • references/examples.md
  • references/implementation.md
  • scripts/manage-memory.py

Open the folder on GitHubat commit cfae287

Compare with similar skills

Memory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memory compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memory this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.3kAutomated safety check: PassMIT
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills21k—~1.9kAutomated safety check: PassMIT
Beads Task Memorygastownhall/beads28k—~1.2kAutomated safety check: PassMIT
Reflect on Session Learningscursor/plugins11k5 repos~1.2kAutomated safety check: PassNone
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT
Compound Learning WriterEveryInc/compound-engineering-plugin25k—~2kAutomated safety check: PassMIT

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Categories

Questions about Memory

What does Memory do?

Execute extract and use project memories from previous sessions for context-aware assistance. Memory is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute extract and use project memories from previous sessions for context-aware assistance.

When should I use Memory?

Memory fits situations like: recalling past decisions; checking project conventions; understanding user preferences; with phrases like remember when.

How do I install Memory in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill memory -a claude-code`. Or copy the skill folder (skills/.curated/memory in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/memory in your project. Claude Code loads it when a task matches its description.

How do I install Memory in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill memory -a codex`. Or copy the skill folder (skills/.curated/memory in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/memory in your project. Codex loads it when a task matches its description.

Can I use Memory in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memory, .gemini/skills/memory, .github/skills/memory and .opencode/skills/memory in your project.

What does Memory need to run?

Going by SKILL.md and its folder, Memory needs Python for the scripts in its folder. Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Read, Write. Compatibility (from SKILL.md): Designed for Claude Code.

Does Memory access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Memory safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Memory use?

Memory is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memory use?

About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Memory?

Skills that share tags, products or a category with Memory: Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars), Beads Task Memory (gastownhall/beads, 28k stars), Reflect on Session Learnings (cursor/plugins, 11k stars) and MemPalace Memory Search (MemPalace/mempalace, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memory?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.