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 SteinX/mem0-oss-mcp --skill mem0-ossgit clone --depth 1 https://github.com/SteinX/mem0-oss-mcpWrote 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/steinx/mem0-oss-mcp/mem0-oss)<a href="https://agentmods.dev/skills/steinx/mem0-oss-mcp/mem0-oss"><img src="https://agentmods.dev/badge/skills/steinx/mem0-oss-mcp/mem0-oss/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/steinx/mem0-oss-mcp/mem0-oss"><img src="https://agentmods.dev/badge/skills/steinx/mem0-oss-mcp/mem0-oss.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 | $0.00036 | $0.00216 |
| Opus 5 | $0.00018 | $0.00108 |
| Sonnet 5 | $0.00007 | $0.00043 |
| Haiku 4.5 | $0.00004 | $0.00022 |
Grade A, and why
mem0-oss 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 8d 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.
What it actually says
Mem0 OSS
Use the Mem0 OSS MCP tools when memory context can help with project continuity, past decisions, user preferences, or explicit remember/search requests.
Prefer scoped calls:
- For writes, include
user_idandapp_idwhen the user or environment has a known scope. - For searches and listing, include filters with
user_idandapp_idwhen possible. - Keep saved memories concise: one decision, preference, bug fix, or task outcome per memory.
- Do not store secrets, tokens, private credentials, or raw
.envcontents.
Common tool mapping:
- Save a fact:
add_memory - Search memories:
search_memories - List recent memories:
get_memories - Update a memory by id:
update_memory - Delete one memory by id:
delete_memory
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.
- 8d ago First seen · 25 lines · 36 tokens per session scan A 8f2f32186149
mem0-oss is a skill published in the GitHub repository SteinX/mem0-oss-mcp (0 stars, last pushed 10d ago), licensed MIT. It adds 36 tokens to every session and 216 once invoked, about $0.0002 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.
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