Agenticx Memory Architect
DemonDamon/AgenticX
Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.
Stores a fact, preference or lesson verbatim in Mem0 through /mem0-remember and files it under a category such as preferences, decisions or goals.
Install Mem0 Remember
$ npx skills add mem0ai/mem0 --skill remember -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mem0ai/mem0 remember --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .claude/skills && cp -r skills-src/integrations/pi-agent-plugin/skills/remember .claude/skills/remember && rm -rf skills-srcUse ~/.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/
Install the "remember" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/remember into .claude/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/rememberType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mem0ai/mem0 --skill remember -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mem0ai/mem0 remember --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .agents/skills && cp -r skills-src/integrations/pi-agent-plugin/skills/remember .agents/skills/remember && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "remember" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/remember into .agents/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mem0ai/mem0 --skill remember -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mem0ai/mem0 remember --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/integrations/pi-agent-plugin/skills/remember .cursor/skills/remember && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "remember" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/remember into .cursor/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mem0ai/mem0.git --path integrations/pi-agent-plugin/skills/remember--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mem0ai/mem0 --skill remember -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mem0ai/mem0 remember --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/integrations/pi-agent-plugin/skills/remember .gemini/skills/remember && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "remember" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/remember into .gemini/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mem0ai/mem0 rememberInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mem0ai/mem0 --skill remember -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .github/skills && cp -r skills-src/integrations/pi-agent-plugin/skills/remember .github/skills/remember && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "remember" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/remember into .github/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mem0ai/mem0 --skill remember -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mem0ai/mem0 remember --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mem0ai/mem0.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/integrations/pi-agent-plugin/skills/remember .opencode/skills/remember && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "remember" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/remember into .opencode/skills/remember/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "remember", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
remember- GitHub stars
- 67k
- Token cost
- ~410 tokens
- SKILL.md length
- 169 words
- Files
- 1
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Stores a fact, preference or lesson verbatim in Mem0 through /mem0-remember and files it under a category such as preferences, decisions or goals.
- Works in 4 steps: Extract the content → Classify the memory → Store → …
- Saving a preference or decision so later sessions remember it
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Recording a lesson learned during debugging
What it does
You give the text as the argument to /mem0-remember, and the agent asks what to remember if nothing was supplied. It then picks a category from the wording: preferences for phrases like I prefer, decisions for we decided or always use, lessons for things learned or not to try, plus goals, work, routines, projects, relationships, identity and technical for setup and tooling. Lessons is the fallback for anything else.
The text is saved through the mem0_memory tool with the add action, word for word and without any inference. The agent then confirms with the category and the first 80 characters of the content, adding an ellipsis only when the text was cut.
When your agent uses it
- Saving a preference or decision so later sessions remember it
- Recording a lesson learned during debugging
- Storing a goal or project note when someone says remember this
Example prompts
- “Remember that we use pnpm instead of npm in this repo.”
- “Save this: we decided to keep the API version in the URL path.”
- “Note that I prefer short commit messages with no scope prefix.”
Requirements
- Mem0, with the mem0_memory tool available for its add action
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c93420c. 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
Mem0 Remember loads about 410 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 169 words of instructions outside code blocks.
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 mem0ai/mem0 at commit c93420c, republished under its Apache-2.0 licence (© mem0ai). 169 words, ~410 tokens.
Download SKILL.mdSave it as
.claude/skills/remember/SKILL.md (or your agent's skills folder).- name
- remember
- description
- Stores a memory verbatim from user input with appropriate category classification. Use when the user says remember this, save this, store this, note that, or explicitly asks to record a preference, decision, goal, or lesson.
Remember
Store a fact, preference, or learning directly into Mem0.
Execution
Step 1: Extract the content
The user provides the content as an argument: /mem0-remember <text>
If no text was provided, ask: "What should I remember?"
Step 2: Classify the memory
Based on the content, pick the best category:
| Content signal | Category |
|---|---|
| "I prefer...", "I like...", "use X instead of Y" | preferences |
| "we decided...", "always use...", "never..." | decisions |
| "I learned...", "figured out...", "don't try..." | lessons |
| "my goal is...", "I want to...", "working toward..." | goals |
| "I work at...", "my role is...", "my team..." | work |
| "every day I...", "my workflow is..." | routines |
| "I'm working on...", "the project involves..." | projects |
| "John is...", "my manager...", "the team..." | relationships |
| "my name is...", "I'm from...", "I studied..." | identity |
| setup, tools, config, environment | technical |
| anything else | lessons |
Step 3: Store
Use the mem0_memory tool with:
action="add"content="<the user's text>"
The /mem0-remember command stores verbatim — no inference. This is already handled by the command.
Step 4: Confirm
Remembered as <category>: "<content, first 80 chars>"Append ... only if content was truncated (longer than 80 chars).
© mem0ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in integrations/pi-agent-plugin/skills/remember of mem0ai/mem0.
Open the folder on GitHubat commit c93420c
Compare with similar skills
Mem0 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mem0 Remember this skillmem0ai/mem0 | 67k | — | ~410 | Automated safety check: Pass | Apache-2.0 | |
| Agenticx Memory ArchitectDemonDamon/AgenticX | 279 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Hyperspacedb MemoryYARlabs/hyperspace-db | 160 | — | ~880 | Automated safety check: Pass | MIT | |
| Self Improving Systemsooiyeefei/ccc | 494 | — | ~5.2k | Automated safety check: Pass | MIT | |
| Mem0Anil-matcha/awesome-muse-connectors | 1.3k | — | ~867 | Automated safety check: Pass | MIT | |
| Mem0majiayu000/claude-skill-registry | 666 | 1 repos | ~1.8k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Hyperspacedb Memory
YARlabs/hyperspace-db
Zero-overhead cognitive long-term and episodic memory for AI agents (Mem0 drop-in and mcp-hyperspace-memory).
Self Improving Systems
ooiyeefei/ccc
Decide whether your agent actually needs persistent memory, feedback loops, or closed-loop learning, then design the smallest thing that pays for itself.
Mem0
Anil-matcha/awesome-muse-connectors
Mem0 memory CLI: add memories from messages, semantic search, read or delete memories, poll async events.
Mem0
majiayu000/claude-skill-registry
Adds persistent, personalized long-term memory to LLM apps and agents with Mem0, the open-source memory layer: it extracts facts from conversations, stores them in a vector database and retrieves…
Mem0 Bridge
momori777/Artemis
Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.
More from mem0ai/mem0
All 25 skills in this repoMem0 Platform SDK
mem0ai/mem0
Adds persistent memory to AI apps with the Mem0 Python and TypeScript SDKs: store, search, update and delete user memories, with framework integrations.
Mem0 CLI Memory Commands
mem0ai/mem0
Adds, searches, lists, updates and deletes memories on the Mem0 platform from the terminal with the mem0 command, including a JSON mode built for agents.
Mem0 Provider for Vercel AI SDK
mem0ai/mem0
Adds persistent memory to Vercel AI SDK apps with the Mem0 provider, using a wrapped model or standalone retrieve and store utilities.
Mem0 Memory Deletion
mem0ai/mem0
Finds and deletes specific mem0 memories by search query or ID, always asking for confirmation first, and can undo the most recent memories added this session.
Mem0 Remember Command
mem0ai/mem0
Saves a fact, decision or preference the user states into mem0 as written, labeled with a memory type such as decision, convention or user_preference.
Mem0 Memory Scope
mem0ai/mem0
Shows or changes the default Mem0 memory scope, project, session or global, which decides where memories are saved and searched.
Related
Works with
Categories
Questions about Mem0 Remember
What does Mem0 Remember do?
Stores a fact, preference or lesson verbatim in Mem0 through /mem0-remember and files it under a category such as preferences, decisions or goals. You give the text as the argument to /mem0-remember, and the agent asks what to remember if nothing was supplied. It then picks a category from the wording: preferences for phrases like I prefer, decisions for we decided or always use, lessons for things learned or not to try, plus goals, work, routines, projects, relationships, identity and technical for setup and tooling.
When should I use Mem0 Remember?
Mem0 Remember fits situations like: saving a preference or decision so later sessions remember it; recording a lesson learned during debugging; storing a goal or project note when someone says remember this.
How do I install Mem0 Remember in Claude Code?
Run `npx skills add mem0ai/mem0 --skill remember -a claude-code`. Or copy the skill folder (integrations/pi-agent-plugin/skills/remember in mem0ai/mem0) into .claude/skills/remember in your project. Claude Code loads it when a task matches its description.
How do I install Mem0 Remember in Codex?
Run `npx skills add mem0ai/mem0 --skill remember -a codex`. Or copy the skill folder (integrations/pi-agent-plugin/skills/remember in mem0ai/mem0) into .agents/skills/remember in your project. Codex loads it when a task matches its description.
Can I use Mem0 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 mem0ai/mem0 --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 Mem0 Remember need to run?
SKILL.md names no scripts, command-line tools or credentials: Mem0 Remember is instructions for the agent only. Our summary lists: Mem0, with the mem0_memory tool available for its add action.
Does Mem0 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 Mem0 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 Mem0 Remember use?
Mem0 Remember is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Mem0 Remember use?
About 410 tokens (SKILL.md is roughly 1.6k 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 Mem0 Remember?
Skills that share tags, products or a category with Mem0 Remember: Agenticx Memory Architect (DemonDamon/AgenticX, 279 stars), Hyperspacedb Memory (YARlabs/hyperspace-db, 160 stars), Self Improving Systems (ooiyeefei/ccc, 494 stars) and Mem0 (Anil-matcha/awesome-muse-connectors, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mem0 Remember?
mem0ai (a GitHub organization) maintains it in mem0ai/mem0, which has 66,715 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on October 6, 2026.
Source: mem0ai/mem0 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.