memory-tools SKILL.md skillA

memory-tools from evermind-ai/everme is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add evermind-ai/everme/memory-tools@git:20260821.0f36645

Pins git:20260821.0f36645 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
evermind-ai/everme
Path
plugins/kimicode/skills/memory-tools/SKILL.md
Versions recorded
1
Latest version
git:20260821.0f36645, committed Aug 21, 2026
Size
3,349 bytes
Repository stars
74
License
Apache-2.0

Use EverMe memory proactively when the user refers to previous conversations, earlier decisions, "last time", "remember when", existing project conventions, or previously solved errors, and save durable user preferences, habits, and decisions the moment they are stated. Do not repeat a search when a non-empty <everme_recall> block already exists.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# EverMe Memory Tools

You have four MCP tools (from the `everme-memory` MCP server) for memory EverMe persists across past Kimi Code sessions.

Recall:
- `mem_search` — semantic + keyword hybrid search over the user's memory store (episodic, profile, agent cases/skills, recent raw transcript). Rows under "Recent unextracted transcript" are provisional, not established facts.
- `mem_context` — the user's durable Profile snapshot ONLY. It never searches and never returns episodes; do not use it to recall past decisions or task context.

Write:
- `mem_save_fact` — save a durable user fact (preference, habit, trait, long-term decision). Call it proactively the moment the user states one — do NOT wait for the user to say "remember this". Only `extracted: true` / `profileUpdated: true` in the result means the profile really updated; on `no_extraction` say so plainly, do not auto-retry, and do not claim success.
- `mem_save_turn` — persist a complete task trajectory worth reusing (rarely needed given the automatic SessionEnd write). Chat-dual-write backends may also update the user's Profile; check `profileUpdated`. Use `mem_save_fact` for a deliberate durable fact.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add evermind-ai/everme/memory-tools@sha256:06ad983e27df15e0

The line at the top of this page pins the label git:20260821.0f36645, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hiieb2n32lrgf3ik.svg)](https://markdownregistry.com/a/art_hiieb2n32lrgf3ik)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 21, 2026.

versioncommittedcommitsizeaudit
git:20260821.0f36645 latest2026-08-21 0f36645 3,349 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3349 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

evermind-ai/everme · 74 stars · license Apache-2.0 · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hiieb2n32lrgf3ik
GET https://markdownregistry.com/api/v1/resolve?ref=evermind-ai/everme/memory-tools
GET https://markdownregistry.com/api/v1/blob/06ad983e27df15e09fcc4cefb229dea8e0cdcbd91706d0f86cb5088118109270

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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