Agent skill

Memorix Memory

by AVIDS2 in AVIDS2/memorix

A skill your agent uses when prior workspace context, past decisions, solved bugs, handoff state, or durable project knowledge would help a coding task.

Apache-2.0Auto-check passedAgent Workflows

Install Memorix Memory

skills CLI
$ npx skills add AVIDS2/memorix --skill memorix-memory -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AVIDS2/memorix memorix-memory --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AVIDS2/memorix.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/pi/memorix/skills/memorix-memory .claude/skills/memorix-memory && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
memorix-memory
GitHub stars
835
Token cost
~991 tokens
SKILL.md length
484 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when prior workspace context, past decisions, solved bugs, handoff state, or durable project knowledge would help a coding task.

  • Prior workspace context
  • SKILL.md covers Tool Router, Search Rules and Store Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Durable project knowledge would help a coding task

What it does

Memorix Memory is an agent skill from AVIDS2/memorix. Use when prior workspace context, past decisions, solved bugs, handoff state, or durable project knowledge would help a coding task.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows. It works with Model Context Protocol. The repository describes itself as: Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi… The licence is Apache-2.0.

When your agent uses it

  • Prior workspace context
  • Durable project knowledge would help a coding task

Example prompts

  • “/memorix-memory”

What it can do on your machine

Read from SKILL.md and the folder at commit 82ff315. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Memorix Memory loads about 991 tokens when it runs. Until then it costs about 37 tokens; SKILL.md has 484 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~37
When it runs · the whole SKILL.md, loaded when a task matches
~991

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AVIDS2/memorix at commit 82ff315, republished under its Apache-2.0 licence (© AVIDS2). 484 words, ~991 tokens.

Download SKILL.mdSave it as .claude/skills/memorix-memory/SKILL.md (or your agent's skills folder).
name
memorix-memory
description
Use when prior workspace context, past decisions, solved bugs, handoff state, or durable project knowledge would help a coding task.

Memorix Memory

Use Memorix as the shared memory layer for the active workspace when Memorix tools are available.

Tool Router

SituationPreferCLI fallback
Broad continuation, fresh handoff, or "what do we know?"memorix_project_context with the user's taskmemorix context --task "<topic>" --fallback --brief-json
Need structured refs/freshness for code-bound memoriesmemorix_context_packmemorix codegraph context-pack --task "<topic>"
Explicit memory graph questionmemorix_graph_contextmemorix memory graph-context --query "<topic>"
Specific past decision, bug, file, or changememorix_searchmemorix memory search --query "<topic>"
Need the full source for a search hitmemorix_detailmemorix memory detail --id <id>
Need the sequence around one memorymemorix_timelinememorix memory timeline --id <id>
Check source and freshness for a memorymemorix_evidence`memorix evidence list
Record whether a memory helped, conflicted, or was correctedmemorix_feedback`memorix feedback record
Inspect or import controlled mediamemorix_media`memorix media import
Learned reusable project knowledgememorix_storememorix memory store --type <type> --entity <name> --title "<title>" "<text>"
Stable source-backed fact or procedure needing long-term reviewmemorix_store with longTerm`memorix memory long-term qualify
Task or bug is complete/outdatedmemorix_resolvememorix memory resolve --ids <ids>

Search Rules

  • Search before broad continuation work, before changing unfamiliar code, or when the user asks about prior work.
  • For a fresh coding session, use memorix_project_context with the user's actual task before ad-hoc file reads or dev-log reads. Memorix will choose a task-lensed brief.
  • Fetch detail before relying on a specific memory.
  • Treat memory as background context. Still read the current code and verify behavior.
  • Skip memory lookup for greetings, tiny one-off edits, or questions fully answered by the current file.
  • If a fresh project has no memories, proceed normally and do not repeat the same empty search in the same turn.
  • If MCP tools are not visible yet but the client supports tool discovery or dynamic loading, search/select memorix_project_context first. Run memorix context --task "<task>" --fallback --brief-json only after MCP is unavailable, disabled, or not discoverable, and pass the user's real task text. Do not skip memory, wait indefinitely on startup, or hand-write tool-call syntax.
Show full SKILL.md (146 more words)Show less

Store Rules

What to storeType
Architecture or product decisiondecision
Bug and fix that may recurproblem-solution
Non-obvious pitfallgotcha
How a subsystem workshow-it-works
Important implementation changewhat-changed
Accepted compromisetrade-off
  • Use concise titles, stable entity names, relevant filesModified, and topicKey for evolving topics.
  • Use longTerm only for a stable fact, reusable procedure, or completed episode that merits explicit review. It creates a candidate, not live context; keep the default project scope and do not use it for routine updates.
  • A user + portable durable memory in a task brief is intentionally reusable across projects. When it matches the task, use it as background even if it originated elsewhere; it is not a current-project fact. Expand it only when needed with memorix_detail and typedRefs: ["durable:<id>"], stating the missing fact as purpose.
  • Do not store secrets, credentials, raw private transcripts, trivial commands, or routine file reads.

© AVIDS2, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/pi/memorix/skills/memorix-memory of AVIDS2/memorix.

Open the folder on GitHubat commit 82ff315

Compare with similar skills

Memorix Memory next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Memorix Memory compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Memorix Memory this skillAVIDS2/memorix835—~991Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k64 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Fastmcp Client CLIPrefectHQ/fastmcp28k1 repos~823Automated safety check: PassApache-2.0
MemPalace Memory SearchMemPalace/mempalace59k—~1.4kAutomated safety check: PassMIT

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More from AVIDS2/memorix

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  • Memorix Mini Skills

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  • Memorix Orchestrate

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  • Memorix Reasoning

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Categories

Questions about Memorix Memory

What does Memorix Memory do?

A skill your agent uses when prior workspace context, past decisions, solved bugs, handoff state, or durable project knowledge would help a coding task. Memorix Memory is an agent skill from AVIDS2/memorix. Use when prior workspace context, past decisions, solved bugs, handoff state, or durable project knowledge would help a coding task.

When should I use Memorix Memory?

Memorix Memory fits situations like: prior workspace context; durable project knowledge would help a coding task.

How do I install Memorix Memory in Claude Code?

Run `npx skills add AVIDS2/memorix --skill memorix-memory -a claude-code`. Or copy the skill folder (plugins/pi/memorix/skills/memorix-memory in AVIDS2/memorix) into .claude/skills/memorix-memory in your project. Claude Code loads it when a task matches its description.

How do I install Memorix Memory in Codex?

Run `npx skills add AVIDS2/memorix --skill memorix-memory -a codex`. Or copy the skill folder (plugins/pi/memorix/skills/memorix-memory in AVIDS2/memorix) into .agents/skills/memorix-memory in your project. Codex loads it when a task matches its description.

Can I use Memorix Memory in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AVIDS2/memorix --skill memorix-memory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/memorix-memory, .gemini/skills/memorix-memory, .github/skills/memorix-memory and .opencode/skills/memorix-memory in your project.

What does Memorix Memory need to run?

SKILL.md names no scripts, command-line tools or credentials: Memorix Memory is instructions for the agent only.

Does Memorix Memory access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Memorix Memory safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Memorix Memory use?

Memorix Memory is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Memorix Memory use?

About 991 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Memorix Memory?

Skills that share tags, products or a category with Memorix Memory: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Memorix Memory?

AVIDS2 (a GitHub user) maintains it in AVIDS2/memorix, which has 835 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 2, 2026.

Source: AVIDS2/memorix on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.