Agent skill

Remember

by HKUDS in HKUDS/OpenSpace

Review auto-memory entries and propose promotions to OPENSPACE.md, OPENSPACE.local.md, or retained auto-memory topics; detect duplicates, stale facts, conflicts, and ambiguous entries before making…

MITAuto-check passed

Install Remember

skills CLI
$ npx skills add HKUDS/OpenSpace --skill remember -a claude-code

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

GitHub CLI
$ gh skill install HKUDS/OpenSpace remember --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/HKUDS/OpenSpace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/openspace/skills/remember .claude/skills/remember && 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
remember
GitHub stars
7.7k
Token cost
~847 tokens
SKILL.md length
427 words
Files
2
Skills in repo
199
Repo updated
First seen
Licence
MIT

At a glance

Review auto-memory entries and propose promotions to OPENSPACE.md, OPENSPACE.local.md, or retained auto-memory topics; detect duplicates, stale facts, conflicts, and ambiguous entries before making…

  • Works in 4 steps: Gather all memory layers → Classify each auto-memory entry → Identify cleanup opportunities → …
  • SKILL.md covers Goal, Steps and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Remember is an agent skill from HKUDS/OpenSpace. Review auto-memory entries and propose promotions to OPENSPACE.md, OPENSPACE.local.md, or retained auto-memory topics; detect duplicates, stale facts, conflicts, and ambiguous entries before making changes.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file.

The repository describes itself as: "OpenSpace: The Skill Management Layer for AI Agents" -- https://open-space.cloud/. The licence is MIT.

Example prompts

  • “/remember”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Gather all memory layers
  2. Classify each auto-memory entry
  3. Identify cleanup opportunities
  4. Present the report

What it can do on your machine

Read from SKILL.md and the folder at commit 3827781. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    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.

Context cost

Remember loads about 847 tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 427 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~847

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from HKUDS/OpenSpace at commit 3827781, republished under its MIT licence (© HKUDS). 427 words, ~847 tokens.

Download SKILL.mdSave it as .claude/skills/remember/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
remember
description
Review auto-memory entries and propose promotions to OPENSPACE.md, OPENSPACE.local.md, or retained auto-memory topics; detect duplicates, stale facts, conflicts, and ambiguous entries before making changes.

Memory Review

Goal

Review the user's memory landscape and produce a clear report of proposed changes, grouped by action type. Do not apply changes until the user approves them.

Steps

1. Gather all memory layers

Read OPENSPACE.md and OPENSPACE.local.md from the project root if they exist. Review auto-memory from the memory section and MEMORY.md; use memory_read for topic files when needed. Note team memory only as unavailable unless this deployment explicitly has a team memory backend.

Success criteria: you have the contents of all available memory layers and can compare them.

2. Classify each auto-memory entry

For each substantive auto-memory entry, determine the best destination:

DestinationWhat belongs thereExamples
OPENSPACE.mdProject conventions and instructions for OpenSpace that all contributors should followuse uv not raw pip; API routes use kebab-case; test command is pytest; prefer functional style
OPENSPACE.local.mdPersonal instructions specific to this user or machine, not applicable to other contributorsconcise responses; explain tradeoffs; do not auto-commit; run tests before committing
Auto-memory topicDurable cross-session user, feedback, project, or reference memory that does not belong in static project instructionsuser role, durable feedback, external reference pointers, uncertain but useful context
Stay putWorking notes, temporary context, or entries that do not clearly fit elsewheresession-specific observations, uncertain patterns

Important distinctions:

  • OPENSPACE.md and OPENSPACE.local.md contain instructions for the agent, not arbitrary external-tool preferences.
  • Workflow practices such as PR conventions, merge strategy, and branch naming can be personal or team-wide; ask the user when unclear.
  • When unsure, ask rather than guess.

Success criteria: each entry has a proposed destination or is flagged as ambiguous.

Show full SKILL.md (163 more words)Show less
3. Identify cleanup opportunities

Scan across all layers for:

  • Duplicates: auto-memory entries already captured in OPENSPACE.md or OPENSPACE.local.md.
  • Outdated entries: static instructions contradicted by newer auto-memory.
  • Conflicts: contradictions between any two layers; propose a resolution and note which evidence is newer.
  • Overloaded index lines: MEMORY.md entries that contain content that belongs in a topic file.

Success criteria: all cross-layer issues are identified.

4. Present the report

Output a structured report grouped by action type:

  1. Promotions: entries to move, with destination and rationale.
  2. Cleanup: duplicates, outdated entries, conflicts, and index cleanup.
  3. Ambiguous: entries where you need the user's input on destination.
  4. No action needed: brief note on entries that should stay put.

If auto-memory is empty, say so and offer to review OPENSPACE.md for cleanup.

Rules

  • Present all proposals before making changes.
  • Do not modify files without explicit user approval.
  • Do not create new files unless the approved target does not exist yet.
  • Ask about ambiguous entries; do not guess.

© HKUDS, 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 1 other file in openspace/skills/remember of HKUDS/OpenSpace.

  • SKILL.md
  • .skill_id

Open the folder on GitHubat commit 3827781

Compare with similar skills

Remember 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.

Remember compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Remember this skillHKUDS/OpenSpace7.7k—~847Automated safety check: PassMIT
Geo Proposalsickn33/agentic-awesome-skills47k1 repos~3.2kAutomated safety check: NotesMIT
Better Proposals AutomationComposioHQ/awesome-claude-skills77k3 repos~764Automated safety check: PassNone
Mem0 Remembermem0ai/mem067k—~410Automated safety check: PassApache-2.0
Remembergithub/awesome-copilot40k1 repos~1.6kAutomated safety check: PassMIT
Contract And Proposal Writeralirezarezvani/claude-skills28k2 repos~3.4kAutomated safety check: PassMIT

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Questions about Remember

What does Remember do?

Review auto-memory entries and propose promotions to OPENSPACE.md, OPENSPACE.local.md, or retained auto-memory topics; detect duplicates, stale facts, conflicts, and ambiguous entries before making…. Remember is an agent skill from HKUDS/OpenSpace.md, or retained auto-memory topics; detect duplicates, stale facts, conflicts, and ambiguous entries before making changes.

How do I install Remember in Claude Code?

Run `npx skills add HKUDS/OpenSpace --skill remember -a claude-code`. Or copy the skill folder (openspace/skills/remember in HKUDS/OpenSpace) into .claude/skills/remember in your project. Claude Code loads it when a task matches its description.

How do I install Remember in Codex?

Run `npx skills add HKUDS/OpenSpace --skill remember -a codex`. Or copy the skill folder (openspace/skills/remember in HKUDS/OpenSpace) into .agents/skills/remember in your project. Codex loads it when a task matches its description.

Can I use Remember 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 HKUDS/OpenSpace --skill remember -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/remember, .gemini/skills/remember, .github/skills/remember and .opencode/skills/remember in your project.

What does Remember need to run?

SKILL.md names no scripts, command-line tools or credentials: Remember is instructions for the agent only.

Does Remember 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 Remember 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. Review the folder before installing.

What licence does Remember use?

Remember is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Remember use?

About 847 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Remember?

Skills that share tags, products or a category with Remember: Geo Proposal (sickn33/agentic-awesome-skills, 47k stars), Better Proposals Automation (ComposioHQ/awesome-claude-skills, 77k stars), Mem0 Remember (mem0ai/mem0, 67k stars) and Remember (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Remember?

HKUDS (a GitHub organization) maintains it in HKUDS/OpenSpace, which has 7,743 GitHub stars. The repository holds 199 skills in this directory. The repository was last updated on August 12, 2026.

Source: HKUDS/OpenSpace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.