Agent skill

Mnemos Memory Setup

Deploys a mnemo-server instance, provisions a tenant, and wires persistent memory into OpenClaw, OpenCode or Claude Code.

Apache-2.0Auto-check: notesAgent Workflows

Install Mnemos Memory Setup

skills CLI

$ npx skills add mem9-ai/mem9 --skill mnemos-setup -a claude-code

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

GitHub CLI

$ gh skill install mem9-ai/mem9 mnemos-setup --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/mem9-ai/mem9.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mnemos-setup .claude/skills/mnemos-setup && 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/

Paste into Claude Code

Install the "mnemos-setup" agent skill from https://github.com/mem9-ai/mem9/tree/main/skills/mnemos-setup into .claude/skills/mnemos-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mnemos-setup", 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

$skill-installer install https://github.com/mem9-ai/mem9/tree/main/skills/mnemos-setup

Type 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.

skills CLI

$ npx skills add mem9-ai/mem9 --skill mnemos-setup -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install mem9-ai/mem9 mnemos-setup --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mem9-ai/mem9.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mnemos-setup .agents/skills/mnemos-setup && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "mnemos-setup" agent skill from https://github.com/mem9-ai/mem9/tree/main/skills/mnemos-setup into .agents/skills/mnemos-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mnemos-setup", 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.

skills CLI

$ npx skills add mem9-ai/mem9 --skill mnemos-setup -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install mem9-ai/mem9 mnemos-setup --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mem9-ai/mem9.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mnemos-setup .cursor/skills/mnemos-setup && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "mnemos-setup" agent skill from https://github.com/mem9-ai/mem9/tree/main/skills/mnemos-setup into .cursor/skills/mnemos-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mnemos-setup", 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

$ gemini skills install https://github.com/mem9-ai/mem9.git --path skills/mnemos-setup

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add mem9-ai/mem9 --skill mnemos-setup -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install mem9-ai/mem9 mnemos-setup --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mem9-ai/mem9.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mnemos-setup .gemini/skills/mnemos-setup && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "mnemos-setup" agent skill from https://github.com/mem9-ai/mem9/tree/main/skills/mnemos-setup into .gemini/skills/mnemos-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mnemos-setup", 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.

GitHub CLI

$ gh skill install mem9-ai/mem9 mnemos-setup

Installs 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).

skills CLI

$ npx skills add mem9-ai/mem9 --skill mnemos-setup -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/mem9-ai/mem9.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mnemos-setup .github/skills/mnemos-setup && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "mnemos-setup" agent skill from https://github.com/mem9-ai/mem9/tree/main/skills/mnemos-setup into .github/skills/mnemos-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mnemos-setup", 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.

skills CLI

$ npx skills add mem9-ai/mem9 --skill mnemos-setup -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install mem9-ai/mem9 mnemos-setup --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/mem9-ai/mem9.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mnemos-setup .opencode/skills/mnemos-setup && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "mnemos-setup" agent skill from https://github.com/mem9-ai/mem9/tree/main/skills/mnemos-setup into .opencode/skills/mnemos-setup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mnemos-setup", 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: mnemos-setup
GitHub stars: 1.2k
Token cost: ~895 tokens
SKILL.md length: 292 words
Files: 1
Skills in repo: 2
Repo updated: Sep 29, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Deploys a mnemo-server instance, provisions a tenant, and wires persistent memory into OpenClaw, OpenCode or Claude Code.

Works in 3 steps: Deploy mnemo-server → Provision a tenant → Configure your agent platform
Setting up persistent memory for an OpenClaw, OpenCode or Claude Code agent
SKILL.md covers Prerequisites, Step 1: Deploy mnemo-server, Step 2: Provision a tenant and Step 3: Configure your agent…, plus 2 more sections
Calls go, curl and jq

What it does

This skill sets up mnemos, a persistent memory server, end to end: running the Go-based mnemo-server against a configured database connection string, then provisioning a tenant through an API call that returns a tenant id to save - stored as an apiKey value in newer configs, or as the equivalent legacy tenantID field.

From there it configures whichever agent platform is in use. OpenClaw gets a memory plugin entry in its config file, plus on newer builds an explicit hook permission so the plugin can read and upload conversation messages. OpenCode gets environment variables plus a plugin entry in its own config. Claude Code gets environment variables in its settings file plus a marketplace plugin install.

After setup it has you verify that memory is actually working end to end, and restart the chosen platform so the newly added plugin or environment variables actually take effect before relying on it.

When your agent uses it

Setting up persistent memory for an OpenClaw, OpenCode or Claude Code agent
Provisioning a new mnemos tenant and connecting it to an agent
Troubleshooting why a configured memory plugin isn't reporting server mode

Example prompts

“Set up mnemos memory for my Claude Code install.”
“Provision a new mnemos tenant and configure OpenCode to use it.”
“Configure the OpenClaw memory plugin to use mem9.”

Requirements

A running mnemo-server instance
Go toolchain to run mnemo-server

Workflow steps

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

Deploy mnemo-server
Provision a tenant
Configure your agent platform

What it can do on your machine

Read from SKILL.md and the folder at commit 071a4e8. 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
Shell commands in SKILL.md call:
- go
- curl
- jq
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
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

Mnemos Memory Setup loads about 895 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 292 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~58
When it runs · the whole SKILL.md, loaded when a task matches: ~895

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteMentions a .env fileSKILL.md:84

ment variables (add to shell profile or `.env`):

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 mem9-ai/mem9 at commit 071a4e8, republished under its Apache-2.0 licence (© mem9-ai). 292 words, ~895 tokens.

Download SKILL.mdSave it as .claude/skills/mnemos-setup/SKILL.md (or your agent's skills folder).

name: mnemos-setup
description: Setup mnemos persistent memory with mnemo-server. Triggers: "set up mnemos", "install mnemo plugin", "configure memory plugin", "configure openclaw memory", "configure opencode memory", "configure claude code memory".

mnemos Setup

Persistent memory for AI agents. This skill helps you set up mnemos with any agent platform.

Prerequisites

You need a running mnemo-server instance. See the server README for deployment instructions.

Step 1: Deploy mnemo-server

bash

cd mnemos/server
MNEMO_DSN="user:pass@tcp(host:4000)/mnemos?parseTime=true" go run ./cmd/mnemo-server

Step 2: Provision a tenant

bash

curl -s -X POST http://localhost:8080/v1alpha1/mem9s | jq .
# → { "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx", "claim_url": "..." }

Save the returned id.

For OpenClaw, this is the value you should store as apiKey (preferred).
Legacy OpenClaw config can still store the same value as tenantID, but the plugin will still use v1alpha2.
For Claude Code / OpenCode env vars, this remains the tenant ID value used by the current server API.

Step 3: Configure your agent platform

Pick your platform and follow the instructions:

OpenClaw

Add to openclaw.json:

json

{
  "plugins": {
    "slots": { "memory": "mem9" },
    "entries": {
      "mem9": {
        "enabled": true,
        "hooks": {
          "allowConversationAccess": true
        },
        "config": {
          "apiUrl": "http://localhost:8080",
          "apiKey": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
        }
      }
    }
  }
}

Restart OpenClaw. You should see:

[mem9] Server mode (v1alpha2)

Compatibility note:

Preferred config: apiKey -> plugin uses v1alpha2 with X-API-Key.
Legacy config: tenantID -> plugin treats it as an alias for apiKey and still uses v1alpha2.
OpenClaw 4.23+ / 2026.4.22+ requires plugins.entries.mem9.hooks.allowConversationAccess = true so mem9 can read conversation messages in agent_end and upload them. Older OpenClaw builds that reject this hook policy should omit the hooks block and upgrade for full automatic conversation upload.
The underlying value is the same UUID either way.

OpenCode

Set environment variables (add to shell profile or .env):

bash

export MNEMO_API_URL="http://localhost:8080"
export MNEMO_TENANT_ID="xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"

Add to opencode.json:

json

{
  "plugin": ["mnemo-opencode"]
}

Restart OpenCode. You should see:

[mem9] Server mode (mnemo-server REST API)

Claude Code

Add to ~/.claude/settings.json:

json

{
  "env": {
    "MNEMO_API_URL": "http://localhost:8080",
    "MNEMO_TENANT_ID": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
  }
}

Install plugin:

/plugin marketplace add mem9-ai/mem9
/plugin install mnemo-memory@mnemos

Restart Claude Code.

Verification

After setup, test memory:

Ask your agent: "Remember that the project uses PostgreSQL 15"
Start a new session
Ask: "What database does this project use?"

The agent should recall the information from memory.

Troubleshooting

Problem	Fix
`No MNEMO_API_URL configured`	Set `MNEMO_API_URL` env var or `apiUrl` in plugin config
`MNEMO_TENANT_ID is not set`	Set `MNEMO_TENANT_ID` for env-based clients, or use `apiKey` (preferred) / legacy `tenantID` in OpenClaw plugin config
Plugin not loading	Check platform-specific config format

Files

Just SKILL.md in skills/mnemos-setup of mem9-ai/mem9.

Open the folder on GitHubat commit 071a4e8

Compare with similar skills

Mnemos Memory Setup 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.

Mnemos Memory Setup compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Mnemos Memory Setup this skillmem9-ai/mem9	1.2k	—	~895	Automated safety check: Notes	Apache-2.0	10 days ago
Coding Agent Session Findercode-yeongyu/oh-my-openagent	70k	1 repos	~2.8k	Automated safety check: Pass	Custom licence	yesterday
Claude-Mem Cloud Syncthedotmack/claude-mem	98k	1 repos	~1k	Automated safety check: Notes	Apache-2.0	2 days ago
Cognee CLI Memory Commandstopoteretes/cognee	32k	1 repos	~2.2k	Automated safety check: Notes	Apache-2.0	yesterday
Neat-Freak Knowledge CloseoutKKKKhazix/khazix-skills	21k	—	~1.9k	Automated safety check: Pass	MIT	7 days ago
Claude-Mem Searchthedotmack/claude-mem	98k	1 repos	~511	Automated safety check: Pass	Apache-2.0	2 days ago

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Questions about Mnemos Memory Setup

What does Mnemos Memory Setup do?

Deploys a mnemo-server instance, provisions a tenant, and wires persistent memory into OpenClaw, OpenCode or Claude Code. This skill sets up mnemos, a persistent memory server, end to end: running the Go-based mnemo-server against a configured database connection string, then provisioning a tenant through an API call that returns a tenant id to save - stored as an apiKey value in newer configs, or as the equivalent legacy tenantID field.

When should I use Mnemos Memory Setup?

Mnemos Memory Setup fits situations like: setting up persistent memory for an OpenClaw, OpenCode or Claude Code agent; provisioning a new mnemos tenant and connecting it to an agent; troubleshooting why a configured memory plugin isn't reporting server mode.

How do I install Mnemos Memory Setup in Claude Code?

Run `npx skills add mem9-ai/mem9 --skill mnemos-setup -a claude-code`. Or copy the skill folder (skills/mnemos-setup in mem9-ai/mem9) into .claude/skills/mnemos-setup in your project. Claude Code loads it when a task matches its description.

How do I install Mnemos Memory Setup in Codex?

Run `npx skills add mem9-ai/mem9 --skill mnemos-setup -a codex`. Or copy the skill folder (skills/mnemos-setup in mem9-ai/mem9) into .agents/skills/mnemos-setup in your project. Codex loads it when a task matches its description.

Can I use Mnemos Memory Setup 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 mem9-ai/mem9 --skill mnemos-setup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mnemos-setup, .gemini/skills/mnemos-setup, .github/skills/mnemos-setup and .opencode/skills/mnemos-setup in your project.

What does Mnemos Memory Setup need to run?

Going by SKILL.md and its folder, Mnemos Memory Setup needs the command-line tools its instructions call (go, curl and jq). Our summary lists: A running mnemo-server instance; Go toolchain to run mnemo-server.

Does Mnemos Memory Setup access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Mnemos Memory Setup safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Mnemos Memory Setup use?

Mnemos Memory Setup 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 Mnemos Memory Setup use?

About 895 tokens (SKILL.md is roughly 3.6k 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 Mnemos Memory Setup?

Skills that share tags, products or a category with Mnemos Memory Setup: Coding Agent Session Finder (code-yeongyu/oh-my-openagent, 70k stars), Claude-Mem Cloud Sync (thedotmack/claude-mem, 98k stars), Cognee CLI Memory Commands (topoteretes/cognee, 32k stars) and Neat-Freak Knowledge Closeout (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mnemos Memory Setup?

mem9-ai (a GitHub organization) maintains it in mem9-ai/mem9, which has 1,223 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on September 29, 2026.

Source: mem9-ai/mem9 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Mnemos Memory Setup

Install Mnemos Memory Setup

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

mnemos Setup

Prerequisites

Step 1: Deploy mnemo-server

Step 2: Provision a tenant

Step 3: Configure your agent platform

OpenClaw

OpenCode

Claude Code

Verification

Troubleshooting

Files

Compare with similar skills

Similar skills

Coding Agent Session Finder

Claude-Mem Cloud Sync

Cognee CLI Memory Commands

Neat-Freak Knowledge Closeout

Claude-Mem Search

Beads Task Memory

More from mem9-ai/mem9

mem9 Memory Plugin Setup

Questions about Mnemos Memory Setup

Install Mnemos Memory Setup

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

mnemos Setup

Prerequisites

Step 1: Deploy mnemo-server

Step 2: Provision a tenant

Step 3: Configure your agent platform

OpenClaw

OpenCode

Claude Code

Verification

Troubleshooting

Files

Compare with similar skills

Similar skills

Coding Agent Session Finder

Claude-Mem Cloud Sync

Cognee CLI Memory Commands

Neat-Freak Knowledge Closeout

Claude-Mem Search

Beads Task Memory

More from mem9-ai/mem9

mem9 Memory Plugin Setup

Related

Questions about Mnemos Memory Setup