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.
Looks up stored agent memories by keyword or ID and prints compact one-line results instead of full detail.
Install Mem0 Memory Search
$ npx skills add mem0ai/mem0 --skill mem0-search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mem0ai/mem0 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/opencode-plugin/opencode-skills/mem0-search .claude/skills/mem0-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 "mem0-search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-search into .claude/skills/mem0-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-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/opencode-plugin/opencode-skills/mem0-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 mem0-search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mem0ai/mem0 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/opencode-plugin/opencode-skills/mem0-search .agents/skills/mem0-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 "mem0-search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-search into .agents/skills/mem0-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-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 mem0-search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mem0ai/mem0 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/opencode-plugin/opencode-skills/mem0-search .cursor/skills/mem0-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 "mem0-search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-search into .cursor/skills/mem0-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-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/opencode-plugin/opencode-skills/mem0-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 mem0-search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mem0ai/mem0 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/opencode-plugin/opencode-skills/mem0-search .gemini/skills/mem0-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 "mem0-search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-search into .gemini/skills/mem0-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-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 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 mem0-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/opencode-plugin/opencode-skills/mem0-search .github/skills/mem0-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 "mem0-search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-search into .github/skills/mem0-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-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 mem0-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 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/opencode-plugin/opencode-skills/mem0-search .opencode/skills/mem0-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 "mem0-search" agent skill from https://github.com/mem0ai/mem0/tree/main/integrations/opencode-plugin/opencode-skills/mem0-search into .opencode/skills/mem0-search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mem0-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
mem0-search- GitHub stars
- 67k
- Token cost
- ~502 tokens
- SKILL.md length
- 198 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Looks up stored agent memories by keyword or ID and prints compact one-line results instead of full detail.
- Works in 3 steps: Parse query → Search → Display
- Checking whether a decision was already recorded in memory
- SKILL.md covers Execution and Output formatting
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
This skill runs a lighter, quicker search over mem0 memories than a full memory tour. Given a query, it first checks whether the query is actually a memory ID - a bare short hex string, a full UUID, or a citation reference - and if so fetches that single memory directly instead of searching.
Otherwise it searches once, scoped to the current user and project, requesting up to 10 results, and prints each hit as a single numbered line showing its type, an 80-character snippet, its date and its short memory ID so a citation can be resolved later. When nothing matches, it says so by name of the query and project rather than returning an empty list silently.
Because it runs inside a terminal UI that renders Markdown literally, it formats everything as plain text with dashes and spacing instead of headers or bold markup.
When your agent uses it
- Checking whether a decision was already recorded in memory
- Resolving a memory citation back to its original content
- Doing a quick memory lookup without full category detail
Example prompts
- “Search memory for anything about the auth middleware decision.”
- “Look up memory mem0:a3f8b2c1 and show me the content.”
- “Did we already decide on a caching strategy? Search memory.”
Requirements
- A connected mem0 memory store
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 502 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 198 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). 198 words, ~502 tokens.
Download SKILL.mdSave it as
.claude/skills/mem0-search/SKILL.md (or your agent's skills folder).- name
- mem0-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 a decision was recorded, resolving [mem0:id] citations, or browsing memories without full category detail.
Mem0 Search
Quick search with compact output. Lighter than /mem0-tour.
Execution
Step 1: Parse query
The user provides a search query: /mem0-search auth middleware
If no query provided, ask: "What should I search for?"
Memory ID detection: If the query matches any of these patterns, treat it as a direct memory ID lookup instead of a search:
- Bare hex:
^[a-f0-9]{8}$(short ID) or^[a-f0-9]{8}-[a-f0-9-]+$(full UUID) - Citation ref:
[mem0:<hex>]— extract the hex portion
When an ID is detected:
- Call
get_memory(<id>)directly (if short ID, try as prefix of full UUID) - If found, skip to Step 3 and display the single result
- If not found, fall through to search using the ID as query text
Step 2: Search
Call search_memories once with the user's question: query=<user's query>, filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=10.
Step 3: Display
Show compact results:
## mem0 search: "<query>" (<N> results)
1. [decision] Auth module uses JWT with RS256 keys (2025-05-15) [mem0:a3f8b2c1]
2. [anti_pattern] Don't use symmetric HS256 — leaked in env (2025-05-10) [mem0:7e2d9f4a]
3. [convention] All middleware in src/middleware/ (2025-05-08) [mem0:c4d5e6f7]Format: <number>. [<type>] <content, 80 chars> (<date>) [mem0:<short_id>]
If no results:
No memories matching "<query>" for project <project_id>.Output formatting
IMPORTANT: Do NOT use markdown in your output. OpenCode TUI renders text verbatim — markdown like bold, ## headers, and | table | syntax appears as raw characters. Use plain text with indentation for structure. Use dashes for lists. Use spaces to align columns instead of markdown tables.
© 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/opencode-plugin/opencode-skills/mem0-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 | — | ~502 | Automated safety check: Pass | Apache-2.0 | |
| Agenticx Memory ArchitectDemonDamon/AgenticX | 340 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Hyperspacedb MemoryYARlabs/hyperspace-db | 162 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Self Improving Systemsooiyeefei/ccc | 495 | — | ~5.2k | Automated safety check: Pass | MIT | |
| Mem0Anil-matcha/awesome-muse-connectors | 1.3k | — | ~867 | Automated safety check: Pass | MIT | |
| Mem0 Bridgemomori777/Artemis | 380 | — | ~453 | Automated safety check: Pass | Custom licence |
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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.
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Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.
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Brings project docs, agent rule files, authorized memory and leftover workspace files back in line with what the code and runtime actually do at the end of a work session.
More from mem0ai/mem0
All 26 skills in this repoMem0 Platform SDK
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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
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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
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 Memory Search
What does Mem0 Memory Search do?
Looks up stored agent memories by keyword or ID and prints compact one-line results instead of full detail. This skill runs a lighter, quicker search over mem0 memories than a full memory tour. Given a query, it first checks whether the query is actually a memory ID - a bare short hex string, a full UUID, or a citation reference - and if so fetches that single memory directly instead of searching.
When should I use Mem0 Memory Search?
Mem0 Memory Search fits situations like: checking whether a decision was already recorded in memory; resolving a memory citation back to its original content; doing a quick memory lookup without full category detail.
How do I install Mem0 Memory Search in Claude Code?
Run `npx skills add mem0ai/mem0 --skill mem0-search -a claude-code`. Or copy the skill folder (integrations/opencode-plugin/opencode-skills/mem0-search in mem0ai/mem0) into .claude/skills/mem0-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 mem0-search -a codex`. Or copy the skill folder (integrations/opencode-plugin/opencode-skills/mem0-search in mem0ai/mem0) into .agents/skills/mem0-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 mem0-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/mem0-search, .gemini/skills/mem0-search, .github/skills/mem0-search and .opencode/skills/mem0-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 connected mem0 memory store.
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 502 tokens (SKILL.md is roughly 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, 340 stars), Hyperspacedb Memory (YARlabs/hyperspace-db, 162 stars), Self Improving Systems (ooiyeefei/ccc, 495 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 66,921 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.