Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/unvulcanised-watercress762/mem9npx agentmods add skills/unvulcanised-watercress762/mem9/mnemos-setupWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/unvulcanised-watercress762/mem9/mnemos-setup)<a href="https://agentmods.dev/skills/unvulcanised-watercress762/mem9/mnemos-setup"><img src="https://agentmods.dev/badge/skills/unvulcanised-watercress762/mem9/mnemos-setup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/unvulcanised-watercress762/mem9/mnemos-setup"><img src="https://agentmods.dev/badge/skills/unvulcanised-watercress762/mem9/mnemos-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.00896 |
| Opus 5 | $0.00027 | $0.00448 |
| Sonnet 5 | $0.00011 | $0.00179 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade B, and why
mnemos-setup scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
Add to `~/.claude/settings.json`: Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST http://localhost:8080/v1alpha1/mem9s | jq . How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
cd mnemos/server
MNEMO_DSN="user:pass@tcp(host:4000)/mnemos?parseTime=true" go run ./cmd/mnemo-server
Step 2: Provision a tenant
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:
{
"plugins": {
"slots": { "memory": "mnemo" },
"entries": {
"mnemo": {
"enabled": 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 withX-API-Key. - Legacy config:
tenantID-> plugin treats it as an alias forapiKeyand still uses v1alpha2. - The underlying value is the same UUID either way.
OpenCode
Set environment variables (add to shell profile or .env):
export MNEMO_API_URL="http://localhost:8080"
export MNEMO_TENANT_ID="xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx"
Add to opencode.json:
{
"plugin": ["mnemo-opencode"]
}
Restart OpenCode. You should see:
[mem9] Server mode (mnemo-server REST API)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 143 lines · 54 tokens per session scan B fd162c79ccb9
mnemos-setup is a skill published in the GitHub repository unvulcanised-watercress762/mem9 (3 stars, last pushed today), licensed Apache-2.0. It adds 54 tokens to every session and 896 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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