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.
Runs a quick semantic search over Mem0 memories and shows compact one-line results, or looks up a single memory by its ID.
Install Mem0 Memory Search
$ npx skills add mem0ai/mem0 --skill search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mem0ai/mem0 search --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/search .claude/skills/search && 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 "search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/search into .claude/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", 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/searchType 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 search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mem0ai/mem0 search --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/search .agents/skills/search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/search into .agents/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", 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 search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mem0ai/mem0 search --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/search .cursor/skills/search && 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 "search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/search into .cursor/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", 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/search--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 search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mem0ai/mem0 search --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/search .gemini/skills/search && 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 "search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/search into .gemini/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", 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 searchInstalls 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 search -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/search .github/skills/search && 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 "search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/search into .github/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", 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 search -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 search --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/search .opencode/skills/search && 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 "search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/pi-agent-plugin/skills/search into .opencode/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", 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
search- GitHub stars
- 67k
- Token cost
- ~302 tokens
- SKILL.md length
- 84 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Runs a quick semantic search over Mem0 memories and shows compact one-line results, or looks up a single memory by its ID.
- Works in 3 steps: Parse query → Search → Display
- Checking whether something was already recorded in memory
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Resolving a Mem0 citation to the memory it points at
What it does
You supply a query through /mem0-search, and the agent asks for one if none is given. When the query looks like a long hex or UUID-style ID, the skill treats it as a direct memory lookup rather than a search. Otherwise it calls the mem0_memory tool with the search action.
Results come back as numbered one-liners showing the category, up to 80 characters of content, the date and a short Mem0 ID, under a header with the query and the result count. With no matches, it reports that no memories match. The skill is described as lighter than /mem0-tour, which makes it suited to quick lookups, checking whether something was recorded, and resolving memory citations.
When your agent uses it
- Checking whether something was already recorded in memory
- Resolving a Mem0 citation to the memory it points at
- Browsing memories without full category detail
Example prompts
- “Search my memories for favorite restaurants.”
- “Did we record anything about the deployment checklist? Run a quick search.”
- “Look up memory a3f8b2c1 and show me what it says.”
Requirements
- A Mem0 setup whose mem0_memory tool supports searching
Workflow steps
3 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 b7ad69a. 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 Memory Search loads about 302 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 84 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 b7ad69a, republished under its Apache-2.0 licence (© mem0ai). 84 words, ~302 tokens.
Download SKILL.mdSave it as
.claude/skills/search/SKILL.md (or your agent's skills folder).- name
- search
- description
- Searches memories and displays compact one-liner results, or looks up a specific memory by ID. Use for quick memory lookups, checking if something was recorded, resolving [mem0:id] citations, or browsing memories without full category detail.
Search / Peek
Quick semantic search with compact output. Lighter than /mem0-tour.
Execution
Step 1: Parse query
The user provides a search query: /mem0-search favorite restaurants
If no query provided, ask: "What should I search for?"
Memory ID detection: If the query matches a UUID pattern (^[a-f0-9-]{20,}$), treat it as a direct memory lookup instead of a search.
Step 2: Search
Use mem0_memory tool with action="search", query=<user's query>.
Step 3: Display
Show compact results:
## mem0 search: "<query>" (<N> results)
1. [preferences] Prefers window seats on flights (2026-05-15) [mem0:a3f8b2c1]
2. [goals] Wants to visit Japan in 2027 (2026-05-10) [mem0:7e2d9f4a]
3. [identity] Lives in San Francisco (2026-05-08) [mem0:c4d5e6f7]Format: <number>. [<category>] <content, 80 chars> (<date>) [mem0:<short_id>]
If no results:
No memories matching "<query>".© 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/search of mem0ai/mem0.
Open the folder on GitHubat commit b7ad69a
Compare with similar skills
Mem0 Memory Search 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 Memory Search this skillmem0ai/mem0 | 67k | — | ~302 | Automated safety check: Pass | Apache-2.0 | |
| Agenticx Memory ArchitectDemonDamon/AgenticX | 315 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Hyperspacedb MemoryYARlabs/hyperspace-db | 162 | — | ~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 | |
| Mem0 Bridgemomori777/Artemis | 378 | — | ~453 | Automated safety check: Pass | Custom licence |
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 Bridge
momori777/Artemis
Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.
Custom Mode Creator for claude-mem
thedotmack/claude-mem
Walks you through creating, installing and verifying a custom claude-mem mode, including note types, tags and optional Telegram alerts for chosen memories.
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Mem0 CLI Memory Commands
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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.
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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
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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
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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
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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 Memory Search
What does Mem0 Memory Search do?
Runs a quick semantic search over Mem0 memories and shows compact one-line results, or looks up a single memory by its ID. You supply a query through /mem0-search, and the agent asks for one if none is given. When the query looks like a long hex or UUID-style ID, the skill treats it as a direct memory lookup rather than a search.
When should I use Mem0 Memory Search?
Mem0 Memory Search fits situations like: checking whether something was already recorded in memory; resolving a Mem0 citation to the memory it points at; browsing memories without full category detail.
How do I install Mem0 Memory Search in Claude Code?
Run `npx skills add mem0ai/mem0 --skill search -a claude-code`. Or copy the skill folder (integrations/pi-agent-plugin/skills/search in mem0ai/mem0) into .claude/skills/search in your project. Claude Code loads it when a task matches its description.
How do I install Mem0 Memory Search in Codex?
Run `npx skills add mem0ai/mem0 --skill search -a codex`. Or copy the skill folder (integrations/pi-agent-plugin/skills/search in mem0ai/mem0) into .agents/skills/search in your project. Codex loads it when a task matches its description.
Can I use Mem0 Memory Search 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 search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/search, .gemini/skills/search, .github/skills/search and .opencode/skills/search in your project.
What does Mem0 Memory Search need to run?
SKILL.md names no scripts, command-line tools or credentials: Mem0 Memory Search is instructions for the agent only. Our summary lists: A Mem0 setup whose mem0_memory tool supports searching.
Does Mem0 Memory Search 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 Memory Search 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 Memory Search use?
Mem0 Memory Search 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 Memory Search use?
About 302 tokens (SKILL.md is roughly 1.2k 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 Memory Search?
Skills that share tags, products or a category with Mem0 Memory Search: Agenticx Memory Architect (DemonDamon/AgenticX, 315 stars), Hyperspacedb Memory (YARlabs/hyperspace-db, 162 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 Memory Search?
mem0ai (a GitHub organization) maintains it in mem0ai/mem0, which has 66,867 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 9, 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.