memobase

memobase is a skill for Claude Code, Codex from maximskorohod/memobase. It costs 25 tokens per session (2,313 once invoked), scanned A, original, MIT.

A Russian-language skill for searching a local knowledge base built from documents and other sources such as web pages, YouTube, audio, and Obsidian notes.

In plain words
What is it for?
Loading sources, finding information, answering with citations, reviewing the knowledge base, and managing collections, access, quotas, or quarantined items.
Why use it?
It keeps answers tied to the stored sources, provides checked direct quotations when available, and refuses honestly when the sources do not support an answer.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Loading sources, finding information, answering with citations, reviewing the knowledge base, and managing collections, access, quotas, or quarantined items.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/maximskorohod/memobase/memobase
Install

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.

Any agent
npx skills add maximskorohod/memobase --skill memobase
Clone the repo
git clone --depth 1 https://github.com/maximskorohod/memobase

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for memobase

README.md
[![agentmods](https://agentmods.dev/badge/skills/maximskorohod/memobase/memobase/github.svg)](https://agentmods.dev/skills/maximskorohod/memobase/memobase)
Your own site
<a href="https://agentmods.dev/skills/maximskorohod/memobase/memobase"><img src="https://agentmods.dev/badge/skills/maximskorohod/memobase/memobase/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.

agentmods 80×15 button for memobase

Your own site · 80×15
<a href="https://agentmods.dev/skills/maximskorohod/memobase/memobase"><img src="https://agentmods.dev/badge/skills/maximskorohod/memobase/memobase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,313 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00025 $0.02313
Opus 5.5 $0.00010 $0.00925
Sonnet 5.5 $0.00005 $0.00463
Haiku 4.5 $0.00003 $0.00231

Measured 8d ago against content hash 7ccdc2524bbe, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memobase 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.

skill/memobase/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MemoBase

Скилл учит, как пользоваться плагином memobase: локальной базой знаний по загруженным источникам (файлы, веб-страницы, YouTube, аудио, Obsidian) с гибридным поиском и ответами строго по базе — с проверенными дословными цитатами или честным отказом. Подробная методичка — в references/guide.md, читай её при любой неочевидной ситуации (все параметры инструментов, чтение ответа, типы источников, диагностика). Здесь — репертуар инструментов и жёсткие правила.

В hermes 0.22+ инструменты плагинов могут быть скрыты за tool_search. Если memobase_* нет среди доступных инструментов — найди их через tool_search по запросу «memobase» и вызывай по точному имени.

Когда применять этот скилл

Применяй, когда пользователь:

  • спрашивает про содержимое своих документов/базы знаний («что в договоре сказано про...», «по моим документам...», «найди в базе»);
  • просит ответить «по документам, без выдумок», «только по базе», «с цитатами»;
  • просит загрузить источник: файл, ссылку, YouTube-видео или целый канал, аудио/голосовое/видео, заметку или vault Obsidian («добавь в базу...», «загрузи канал...», «расшифруй и сохрани...»);
  • спрашивает, что вообще лежит в базе, про её статус или расходы;
  • просит карту/обзор базы («что у меня там по темам», «как связаны документы»);
  • просит дать другому человеку доступ к коллекции, настроить квоты гостя или разобрать карантин;
  • хочет настроить базу с нуля (мастер /memobase setup в Telegram или hermes memobase setup в терминале — один и тот же сценарий).

Репертуар инструментов

Главные инструменты модели — kb_*. Пользователю доступны те же операции как /memobase ... в чате и hermes memobase ... в терминале (полные таблицы — в guide.md).

memobase_ask — ответ по базе

Единственный правильный способ ответить на вопрос по содержимому базы.

memobase_ask(query="Какой срок действия договора?", collection="docs")

Возвращает либо ответ с дословными проверенными цитатами (источник + страница/раздел/таймкод) и списком «чего не хватает» (gaps), либо честный отказ («в базе этого нет»). Оба исхода — штатные.

Read the full file on GitHub · 167 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 8d ago Changed · +4 lines 7ccdc2524bbe
  2. 1mo ago First seen · 163 lines · 25 tokens per session scan A e89d7d9d693a

Subscribe to this mod's changes

memobase is a skill published in the GitHub repository maximskorohod/memobase (22 stars, last pushed 6d ago), licensed MIT. It adds 25 tokens to every session and 2,313 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 2026-08-30.

Related

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Local-first agent memory and knowledge service (RAG) installed from PyPI. Use when a task needs to store or recall long-term user preferences, project decisions, facts, documents or web pages, when different projects need separate memories, or when the user mentions "kb memory", "kb", or a local MCP memory service.…

fish827-08/rag-kb · 112 tokens

llmwiki

Build and use a persistent, citation-traceable knowledge wiki from documents, research papers, notes, or project documentation. Use for llmwiki projects, retrieving reusable evidence for an agent task, or compiling a corpus for repeated questions. A one-off file read or live web search does not need a wiki.

atomicstrata/llm-wiki-compiler · 66 tokens

gno

Search local documents, files, notes, and knowledge bases. Index directories, search with BM25/vector/hybrid, get AI answers with citations. Use when user wants to search files, find documents, query notes, look up information in local folders, index a directory, set up document search, build a knowledge base, needs…

gmickel/gno · 86 tokens

karpathy-llm-wiki

Use when building or maintaining a personal LLM-powered knowledge base. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki quality, 'add to wiki', 'what do I know about', or any mention of 'LLM wiki' or 'Karpathy wiki'.

Astro-Han/karpathy-llm-wiki · 67 tokens

ingest

Populate the gnosis-mcp knowledge base — from local files, git history, or a crawled website. Handles the full matrix of flags (--force, --prune, --wipe, --embed, --include-crawled) in one place.

nicholasglazer/gnosis-mcp · 54 tokens

setup

First-time setup wizard for Gnosis MCP. Install, init the database, ingest a docs folder, wire your editor — in that order.

nicholasglazer/gnosis-mcp · 30 tokens