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 agentmods add instructions/mithunyc/obsidian-agent-memory/agents-mdgit clone --depth 1 https://github.com/mithunyc/obsidian-agent-memoryWrote 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/mithunyc/obsidian-agent-memory/agents-md)<a href="https://agentmods.dev/instructions/mithunyc/obsidian-agent-memory/agents-md"><img src="https://agentmods.dev/badge/instructions/mithunyc/obsidian-agent-memory/agents-md.svg" alt="Measured on agentmods" 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 | $0.00195 | $0.00195 |
| Opus 5 | $0.00097 | $0.00097 |
| Sonnet 5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00019 | $0.00019 |
Grade A, and why
obsidian-agent-memory AGENTS.md 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 4d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- obsidian-agent-memory CLAUDE.md — 86% identical, 10 lines differ
- obsidian-agent-memory GEMINI.md — 84% identical, 10 lines differ
What it actually says
Agent Memory System
Read the canonical rules file before taking any action in this vault.
Then follow the retrieval protocol to load only what you need:
→ 00_System/AI/RETRIEVAL_PROTOCOL.md
At the end of every session, run the closeout protocol:
→ 00_System/AI/SESSION_CLOSEOUT_PROTOCOL.md
Constraints
- Do not modify
.obsidian/unless explicitly asked. - Treat any
raw/folder as immutable — read only. - Create only
.mdand.basefiles. - Use the property schema defined in
00_System/Templates/. - Log significant vault changes in
00_System/Logs/Vault-Changes.md.
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.
- 4d ago First seen · 21 lines · 195 tokens per session scan A 5237140da444
obsidian-agent-memory AGENTS.md is an instructions file published in the GitHub repository mithunyc/obsidian-agent-memory (3 stars, last pushed 4mo ago), licensed MIT. It adds 195 tokens to every session, about $0.0010 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 instructions, from other repositories
memorix CLAUDE.md
Claude Code instructions for AVIDS2/memorix, covering memorix - agent instructions for claude code, using memorix memory tools, when to search memory, when to store memory and when to resolve memory.
memorix GEMINI.md
Gemini CLI instructions for AVIDS2/memorix, covering memorix - cross-agent memory rules, session start - bind project, then load context, during session - capture important context, architecture & decisions and bug fixes & problem solving.
Mem-Forever copilot-instructions.md
Instructions for ilang-ai/Mem-Forever, covering mem-forever, session start, onboarding (soul.md empty), soul.md format and memory update.
Iron-mem CLAUDE.md
Instructions for BMC-INC/Iron-mem, a project described as: Agent-native memory infrastructure for AI coding assistants. Governed session capture, LLM compression, hybrid retrieval (FTS + vector + RRF), temporal knowledge graph, content-addressed storage, compliance-grade classification. Single Rust binary, MCP server.…
fish-bridge-mcp copilot-instructions.md
Instructions for MakeaMouse/fish-bridge-mcp, a project described as: An economical and fuel(token) efficient AI tool, graph session memory for looong chat session.
lithium-kb CLAUDE.md
Claude Code instructions for liulinnuha/lithium-kb, a project described as: 🧠 Fast, zero-dependency structured knowledge base (.agent-kb/) with 2D neural graph visualizer │ & MCP server for Claude, Codex, PI, Cursor, Windsurf, Zed & Other AI coding agents.