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 MilkyWay008/Hermes-OTG --skill memory-indexgit clone --depth 1 https://github.com/MilkyWay008/Hermes-OTGWrote 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/milkyway008/hermes-otg/memory-index)<a href="https://agentmods.dev/skills/milkyway008/hermes-otg/memory-index"><img src="https://agentmods.dev/badge/skills/milkyway008/hermes-otg/memory-index/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/milkyway008/hermes-otg/memory-index"><img src="https://agentmods.dev/badge/skills/milkyway008/hermes-otg/memory-index.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00080 | $0.06853 |
| Opus 5 | $0.00040 | $0.03426 |
| Sonnet 5 | $0.00016 | $0.01371 |
| Haiku 4.5 | $0.00008 | $0.00685 |
Grade A, and why
memory-index 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 553 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Index System
This skill governs how the tiered memory system works. All memory lives under the Hermes memories directory (typically <hermes_data_dir>/memories/).
Architecture
memories/
├── MEMORY.md ← T0: lean index — critical rules inline, links to everything else
├── USER.md ← T0: user preferences, identity, work style, communication
└── memory-details/
├── reference/ ← T1: durable reference files (machine spec, configs, inventory)
├── projects/ ← T1P: ongoing build/project files (span days-weeks-months)
└── lessons/ ← T2: dated lesson archives with frontmatter
Memory Root Path Resolution
Your memory root depends on which profile you're running under. Resolve it at runtime:
| Profile Type | Memory Root |
|---|---|
| Default profile | <HERMES_DATA_DIR>/memories/ |
| Named profile | <HERMES_DATA_DIR>/profiles/<profile_name>/memories/ |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 553 lines · 80 tokens per session scan A 4e35cf4e7b9d
memory-index is a skill published in the GitHub repository MilkyWay008/Hermes-OTG (15 stars, last pushed 28d ago), licensed MIT. It adds 80 tokens to every session and 6,853 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
hermes-memory-providers
Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.
mnemosyne
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.
mnemosyne-memory-override
Hard rule override that forces Mnemosyne for all durable memory storage. The legacy memory tool is DEPRECATED for user preferences, credentials, and project conventions. Use memory ONLY for ephemeral session state.
distilly
Distill colleague, relationship, or celebrity source material into reusable Person Profiles for agents.
clawdi
API keys, tokens, memory, sessions, Projects, integrations. Use Clawdi Cloud when a task needs passwords or safe credential storage/provision, missing user memory or Project/Vault context, past conversations, Clawdi share URLs, or connected-service fallback such as Gmail, GitHub, Notion, Drive, or Calendar. Do not…
hermes-context-optimization
Use this when the user asks about Hermes prompt/context size, “hello” startup cost, compression behavior, memory/profile bloat, tool-schema overhead, skill loading, session-store/search-index storage, or multimodal/visual-context approaches such as Snapcompact.