Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AtlasOmnia/hermes-custom-pack --skill mnemosyne-maintenancegit clone --depth 1 https://github.com/AtlasOmnia/hermes-custom-packWrote 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/atlasomnia/hermes-custom-pack/mnemosyne-maintenance)<a href="https://agentmods.dev/skills/atlasomnia/hermes-custom-pack/mnemosyne-maintenance"><img src="https://agentmods.dev/badge/skills/atlasomnia/hermes-custom-pack/mnemosyne-maintenance/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/atlasomnia/hermes-custom-pack/mnemosyne-maintenance"><img src="https://agentmods.dev/badge/skills/atlasomnia/hermes-custom-pack/mnemosyne-maintenance.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 | $0.00040 | $0.01737 |
| Opus 5 | $0.00020 | $0.00869 |
| Sonnet 5 | $0.00008 | $0.00347 |
| Haiku 4.5 | $0.00004 | $0.00174 |
Grade A, and why
mnemosyne-maintenance scanned grade A with 0 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to mnemosyne-maintenance — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mnemosyne Maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosyne_sleep), fixing missing embeddings, or troubleshooting import/version mismatches.
Triggers
- mnemosyne_sleep hanging for >2 minutes
- Diagnose reports "fastembed not available" or "sqlite_vec not available" despite being installed
- Version mismatch: pip shows newer version than runtime
- Embeddings_available=NO when deps are present
Core troubleshooting (in order)
- Run diagnostics:
- mnemosyne_diagnose
- Look for: missing fastembed, sqlite_vec, ctransformers; embeddings_available status; mnemosyne_version
- Check for local dev shadowing:
- A local ~/mnemosyne directory will shadow the pip-installed package because Python adds ~ to sys.path on macOS.
- Confirm with: python -c "import mnemosyne, inspect; print(mnemosyne.file)" If it prints ~/mnemosyne/..., that's the problem.
- Fix shadowing (if present):
- Rename or move local dev copy: mv ~/mnemosyne ~/mnemosyne-local
- Ensure PYTHONPATH prioritizes site-packages in gateway plist: plutil -replace "EnvironmentVariables.PYTHONPATH" -string "~/.hermes/hermes-agent/venv/lib/python3.11/site-packages" ~/Library/LaunchAgents/ai.hermes.gateway.plist
- Restart gateway: launchctl stop ai.hermes.gateway && launchctl start ai.hermes.gateway
- Remove stale plugin symlinks:
- Old setups may have: ~/.hermes/plugins/mnemosyne -> ~/mnemosyne/hermes_memory_provider Modern Mnemosyne (3.8+) includes Hermes integration in the package; this symlink is unnecessary and can break imports.
- If present, remove it: rm ~/.hermes/plugins/mnemosyne
- Upgrade Mnemosyne + deps:
- From venv: pip install --upgrade "mnemosyne-memory[embeddings]" sqlite-vec
- If version mismatch persists (pip shows new, runtime still old):
- Uninstall and reinstall cleanly: pip uninstall -y mnemosyne-memory && pip install --upgrade "mnemosyne-memory[embeddings]" sqlite-vec
- Restart gateway after changes:
- launchctl stop ai.hermes.gateway && launchctl start ai.hermes.gateway
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 · 135 lines · 40 tokens per session scan A 21e5e30f80df
mnemosyne-maintenance is a skill published in the GitHub repository AtlasOmnia/hermes-custom-pack (56 stars, last pushed 26d ago), licensed MIT. It adds 40 tokens to every session and 1,737 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to mnemosyne-maintenance, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
mnemosyne-maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosynesleep), fixing missing embeddings, or troubleshooting import/version mismatches.
agent-dreaming-agnostic
Memory-agnostic background consolidation — reviews sessions, scores candidates, promotes durable insights to the active memory backend (built-in MEMORY.md or Holographic). Three-phase (Light/Deep/Condensation/REM). Run via cron or manually.
agent-dreaming
DEPRECATED — use agent-dreaming-agnostic instead. Background memory consolidation for built-in MEMORY.md only.
library-rag
Semantic search over a personal library using Nemotron-3-Embed-1B embeddings + sqlite-vec. Index books, documents, any text corpus; query by meaning. Includes EPUB→Markdown conversion and MCP server for auto-available search tools.
portable-rag-per-skill
Pattern for standalone RAG indexes that live inside a skill directory — portable, no external DB or MCP dependency.
memory-lancedb
LanceDB-backed vector memory for high-volume embedding and retrieval workloads.