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 forgetgit 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/forget)<a href="https://agentmods.dev/skills/steinx/mem0-oss-mcp/forget"><img src="https://agentmods.dev/badge/skills/steinx/mem0-oss-mcp/forget/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/forget"><img src="https://agentmods.dev/badge/skills/steinx/mem0-oss-mcp/forget.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 | $0.00013 | $0.00277 |
| Opus 5.5 | $0.00005 | $0.00111 |
| Sonnet 5.5 | $0.00003 | $0.00055 |
| Haiku 4.5 | $0.00001 | $0.00028 |
Grade A, and why
forget 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 7d 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
Run {{CLI}} status --json in the current workspace to obtain concrete
user_id and app_id. Use only this plugin's {{SERVER_NAME}} MCP server.
Use mcp__{{SERVER_NAME}}__get_memories with those top-level arguments to
inspect the selected memories, following pagination and completeness markers.
Do not treat a truncated listing as the whole collection.
For an explicit request to clear this user's memories in this repository, call
mcp__{{SERVER_NAME}}__delete_all_memories with both concrete identities. For selected IDs, read each
with mcp__{{SERVER_NAME}}__get_memory, verify its user/app scope, then call
mcp__{{SERVER_NAME}}__delete_memory. Explain
the deletion scope and seek clarification only if the user's request does not
identify it. Never broaden deletion to shared or other users' memories without
an explicit request. Report the actual backend result.
For a request to clear local evidence only, use {{CLI}} forget --yes.
This clears local evidence for the current repository and does not delete remote
memories. Do not use the upstream forget --remote path: its Platform listing
contract is not part of this adapter.
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.
- 7d ago First seen · 24 lines · 13 tokens per session scan A 158f8134cf22
forget is a skill published in the GitHub repository SteinX/mem0-oss-mcp (0 stars, last pushed 8d ago), licensed MIT. It adds 13 tokens to every session and 277 once invoked, about $0.0001 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 2026-10-22.
Other skills, from other repositories
knowledge-ingest
Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, source notes, and cross-links; also learn durable lessons from a set of conversations, transcripts, or past sessions (/learn), including the Learn from conversations and Learn from Memory…
mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…