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 commands/evermind-ai/everme/recallgit clone --depth 1 https://github.com/EverMind-AI/EverMeWrote 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/commands/evermind-ai/everme/recall)<a href="https://agentmods.dev/commands/evermind-ai/everme/recall"><img src="https://agentmods.dev/badge/commands/evermind-ai/everme/recall.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 | $0.00018 | $0.00277 |
| Opus 5 | $0.00009 | $0.00138 |
| Sonnet 5 | $0.00004 | $0.00055 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
recall 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.
What it actually says
EverMe · recall
Use the canonical EverMe MCP tools:
mem_search— hybrid search across episodic memories, profile entries, agent cases/skills, and the recent raw transcript.mem_context— durable Profile snapshot only; it does not search past conversations and is not needed for this command.
Query
{{query}}
Instructions
- Call
mem_searchwith a short version of the query. Start withtopK: 10. - If the returned memories are clearly relevant, summarize them briefly and use them to answer or guide the next action.
- If results are weak or empty, retry once with broader keywords. If still nothing useful, say so explicitly — do not fabricate context.
- Treat rows under "Recent unextracted transcript" as provisional, not as established facts or confirmed decisions.
- When citing a memory, mention its subject or session id when available so the user can trace it through
everclior the EverMe Web UI. - NEVER paste an entire long memory body verbatim; quote only the salient parts.
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 · 28 lines · 18 tokens per session scan A 8eb26ed5d127
recall is a command published in the GitHub repository EverMind-AI/EverMe (57 stars, last pushed 6d ago), licensed Apache-2.0. It adds 18 tokens to every session and 277 once invoked, about $0.0001 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.
Other commands, from other repositories
krimto-status
Show the current state of Krimto memory — total facts, scope breakdown, recent writes, and index health.
tl-export
Export thoughtline memories to a markdown file the user can review or commit.
tl-search
Search thoughtline memories by keyword or topickey GLOB.
tl-recent
Show the most recent thoughtline memories for the active project.
tl-stats
Summarize the thoughtline memory store for the active project.
ov
Show OpenViking memory plugin status — server, identity, last injection / recall, toggles.