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 skills/memtensor/memmy-agent/memmy-memorynpx skills add MemTensor/memmy-agent --skill memmy-memorygit clone --depth 1 https://github.com/MemTensor/memmy-agentWrote 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/memtensor/memmy-agent/memmy-memory)<a href="https://agentmods.dev/skills/memtensor/memmy-agent/memmy-memory"><img src="https://agentmods.dev/badge/skills/memtensor/memmy-agent/memmy-memory.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 | $0.00050 | $0.00674 |
| Opus 5 | $0.00025 | $0.00337 |
| Sonnet 5 | $0.00010 | $0.00135 |
| Haiku 4.5 | $0.00005 | $0.00067 |
Grade A, and why
memmy-memory 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.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memmy Memory CLI
Use this skill when the task needs persistent agent memory through the memmy-memory command.
Command Selection
- Check availability: read health.
- Create or resume a session: read session open.
- Close a session: read session close.
- Begin a turn and retrieve prompt context: read turn start.
- Finish a turn and write memory: read turn complete.
- Search memory: read search.
- Add a memory manually: read add.
- Read one memory by id: read get.
- Delete one memory by id: read delete.
- Call uncommon HTTP routes for debugging: read raw.
Common Options
--url <url>sends requests to a specific Memory HTTP service.--token <token>sends a bearer token.--config <path>loads a specific Memmy config file.--source <agent-source>identifies the calling agent/source, such ascodex,cursor, oropenclaw; use it on memory commands from installed agent skills.--body '<json>',--json '<json-or-path>', and--body-file <path>provide request body fields.
Prefer explicit CLI parameters for required fields. Use JSON body options only for extra request fields or raw debugging.
Agent Workflow
- Use
memmy-memory healthbefore relying on Memory if service state is unknown. - Use
memmy-memory session open --source <agent-source>when a conversation or task begins. - Use
memmy-memory turn start --source <agent-source>before answering when prior memory may help. - Use
memmy-memory search --source <agent-source>for direct memory lookup outside a turn lifecycle. - Use
memmy-memory turn complete --source <agent-source>after the final answer to persist the interaction. - Use
memmy-memory add --source <agent-source>only for explicit facts, preferences, decisions, or durable project notes.
What ships with it
10 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.
- 4d ago First seen · 50 lines · 50 tokens per session scan A 5b2fc876ac26
memmy-memory is a skill published in the GitHub repository MemTensor/memmy-agent (1,190 stars, last pushed 6d ago), licensed MIT. It adds 50 tokens to every session and 674 once invoked, about $0.0003 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 2026-08-30.
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