Memoh is an open-source multi-agent platform that gives each AI agent a persistent computer-like workspace with a filesystem, desktop, browser, network access, and long-term memory. It is for individuals and teams running agents continuously, including built-in agents or coding agents such as Claude Code and Codex, through chat platforms and a web interface.
Borrowing it
Nothing to install: this file belongs to felinics/Memoh. 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/felinics/Memoh/main/AGENTS.mdgit clone --depth 1 https://github.com/felinics/MemohWrote 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/felinics/memoh/agents-md)<a href="https://agentmods.dev/instructions/felinics/memoh/agents-md"><img src="https://agentmods.dev/badge/instructions/felinics/memoh/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/felinics/memoh/agents-md"><img src="https://agentmods.dev/badge/instructions/felinics/memoh/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 | $0.04913 | $0.04913 |
| Opus 5.5 | $0.01965 | $0.01965 |
| Sonnet 5.5 | $0.00983 | $0.00983 |
| Haiku 4.5 | $0.00491 | $0.00491 |
Grade A, and why
Memoh 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 2d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 2d ago Changed · +55 tokens per session 82b3f1e69aef
- 5d ago Changed · +3 tokens per session dd72ada7e168
- 13d ago Changed · -5 tokens per session 6e064ea027e0
- 15d ago Changed · +14 lines · +283 tokens per session ea3b921d4ce5
- 21d ago Changed · +1 lines · +142 tokens per session 8e759366cff3
- 1mo ago Changed · +1 lines · +28 tokens per session d97e6cb6632f
- 1mo ago Changed · +1 lines · +378 tokens per session bd127072a36b
- 1mo ago Changed · -5 tokens per session 8d857243d2df
- 1mo ago Changed · +2 lines · +57 tokens per session 61f339525bbe
- 1mo ago First seen · 199 lines · 3,977 tokens per session scan A fa6bd99f4f13
Memoh AGENTS.md is an instructions file published in the GitHub repository felinics/Memoh (2,785 stars, last pushed yesterday), licensed AGPL-3.0. It adds 4,913 tokens to every session, about $0.0197 per session on Opus 5.5. 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 2026-08-30.
Memoh AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Memoh AGENTS.mdfelinics/Memoh | Instructions file | 2.8k | yesterday | AGPL-3.0 | A | 4,913 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |