Borrowing it
Nothing to install: this file belongs to neilshermes-project/hermes-memory-hybrid. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/neilshermes-project/hermes-memory-hybrid/master/AGENTS.mdgit clone --depth 1 https://github.com/neilshermes-project/hermes-memory-hybridWrote 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/instructions/neilshermes-project/hermes-memory-hybrid/agents-md)<a href="https://agentmods.dev/instructions/neilshermes-project/hermes-memory-hybrid/agents-md"><img src="https://agentmods.dev/badge/instructions/neilshermes-project/hermes-memory-hybrid/agents-md/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/instructions/neilshermes-project/hermes-memory-hybrid/agents-md"><img src="https://agentmods.dev/badge/instructions/neilshermes-project/hermes-memory-hybrid/agents-md.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 | $0.00317 | $0.00317 |
| Opus 5 | $0.00159 | $0.00159 |
| Sonnet 5 | $0.00063 | $0.00063 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
hermes-memory-hybrid AGENTS.md scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `install.sh` | One-line curl installer | What it actually says
AGENTS.md
This file exists to help AI agents and autonomous systems understand this repository quickly.
Project Purpose
This repository provides a complete, snapshot-safe, one-command upgrade that adds hybrid memory (FTS5 + sqlite-vec embeddings + relational pre-filtering) to Hermes Agent.
Primary Entry Point for Agents
Run this single command to perform the full upgrade in an isolated snapshot:
python replicate.py --auto-snapshot
Key Files Agents Should Know About
| File | Purpose |
|---|---|
replicate.py |
Master replication + snapshot orchestrator |
SKILL.md |
Hermes skill metadata (frontmatter required) |
README.md |
Human + agent installation instructions |
install.sh |
One-line curl installer |
docs/snapshot-discipline.md |
Core safety rules for working in snapshots |
Important Constraints
- All development and testing must happen inside an isolated snapshot
- Never run migration or embedding scripts directly against a live
/root/.hermes - Always maintain a verified backup + tested backout script before any promotion
- This upgrade is designed to be fully reversible
Recommended Agent Workflow
- Clone or install as skill
- Run
replicate.py --auto-snapshot - Validate using the test suite inside the snapshot
- Only promote to production after full validation
Contact / Maintainers
Maintained via this repository. Issues and pull requests welcome.
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.
- 9d ago First seen · 43 lines · 317 tokens per session scan A d2b68d6472c7
hermes-memory-hybrid AGENTS.md is an instructions file published in the GitHub repository neilshermes-project/hermes-memory-hybrid (2 stars, last pushed 3mo ago), licensed MIT. It adds 317 tokens to every session, about $0.0016 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.