Agent skill

Supermemory

by Anil-matcha in Anil-matcha/awesome-muse-connectors

Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings.

MITAuto-check passedAI & LLM Engineering

Install Supermemory

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill supermemory -a claude-code

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

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors supermemory --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/supermemory .claude/skills/supermemory && 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/

Paste into Claude Code

Install the "supermemory" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/supermemory into .claude/skills/supermemory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supermemory", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/supermemory

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill supermemory -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors supermemory --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/supermemory .agents/skills/supermemory && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "supermemory" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/supermemory into .agents/skills/supermemory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supermemory", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill supermemory -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors supermemory --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/supermemory .cursor/skills/supermemory && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "supermemory" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/supermemory into .cursor/skills/supermemory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supermemory", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Anil-matcha/awesome-muse-connectors.git --path connectors/supermemory

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill supermemory -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors supermemory --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/supermemory .gemini/skills/supermemory && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "supermemory" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/supermemory into .gemini/skills/supermemory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supermemory", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors supermemory

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill supermemory -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/supermemory .github/skills/supermemory && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "supermemory" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/supermemory into .github/skills/supermemory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supermemory", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill supermemory -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors supermemory --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/supermemory .opencode/skills/supermemory && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "supermemory" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/supermemory into .opencode/skills/supermemory/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "supermemory", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: supermemory
GitHub stars: 1.3k
Token cost: ~760 tokens
SKILL.md length: 261 words
Files: 2
Skills in repo: 153
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings.

Works in 6 steps: add, upload, and settings are writes:… → Reading (search, list) needs no… → File uploads go to Supermemory's… → …
Phrases: supermemory
SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
Runs Python scripts from its folder

What it does

Supermemory is an agent skill from Anil-matcha/awesome-muse-connectors. Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings. Trigger phrases: supermemory, memory engine, remember this.

Its SKILL.md is about 760 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/supermemory.py`).

It sits in AI & LLM Engineering, covering Retrieval-augmented generation. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

Phrases: supermemory
Tasks that involve Retrieval-augmented generation

Example prompts

“/supermemory”

Requirements

Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

add, upload, and settings are writes: confirm with the user before running them, unless standing permission exists. Say which containerTag…
Reading (search, list) needs no confirmation.
File uploads go to Supermemory's storage; confirm the file and its tag first. Large or sensitive files deserve a second look.
settings changes extraction behavior for everything stored later; confirm the exact JSON payload first.
Supermemory offers a generous free tier (paid plans from ~$16/mo). A self-hosted binary mirrors the same API at http://localhost:6767…
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/supermemory.py). Do not print, log, or transmit the key…

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. 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
Ships script files (Python), which the agent can run.
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

Supermemory loads about 760 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 261 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~45
When it runs · the whole SKILL.md, loaded when a task matches: ~760

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 Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 261 words, ~760 tokens.

Download SKILL.mdSave it as .claude/skills/supermemory/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: supermemory
description: Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings. Trigger phrases: supermemory, memory engine, remember this.
metadata.includeInPrompt: true
tagline: Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings.
catalog_auth: API key via the secure credential flow
catalog_hosts: api.supermemory.ai

Supermemory

Purpose

Use Supermemory as the user's long-term memory and document store: add memories or documents (optionally isolated per user or project with containerTag), run hybrid semantic-plus-keyword search, list stored documents, upload files (PDFs, images, video, code), and tune extraction settings. Use when the user mentions Supermemory or wants to remember and recall across sessions.

Tooling

All commands go through bin/supermemory.py:

bash

bin/supermemory.py auth                                                   # verify the API key
bin/supermemory.py add --content "Michael ships on Fridays" --container-tag michael   # store a memory
bin/supermemory.py search --query "release schedule" --container-tag michael          # hybrid search
bin/supermemory.py list --container-tag michael --limit 25                 # list stored documents
bin/supermemory.py upload --file ./notes.pdf --container-tag michael      # upload a file
bin/supermemory.py settings --json '{"chunkSize": 512}'                   # tune extraction/chunking

containerTag isolates memory per user or project (max 100 chars); use one consistently for the user's personal memory.

Auth

Provider id: supermemory (credential is collected as custom.supermemory)
Collection: API key via the secure credential flow (credentials.request_api_access); minted at console.supermemory.ai (keys start with sm_)
Scheme: Authorization: Bearer <key> via surrogate placement
Allowed hosts: api.supermemory.ai
Status check: bin/supermemory.py auth (must return "ok": true)

Operating Rules

add, upload, and settings are writes: confirm with the user before running them, unless standing permission exists. Say which containerTag the write targets.
Reading (search, list) needs no confirmation.
File uploads go to Supermemory's storage; confirm the file and its tag first. Large or sensitive files deserve a second look.
settings changes extraction behavior for everything stored later; confirm the exact JSON payload first.
Supermemory offers a generous free tier (paid plans from ~$16/mo). A self-hosted binary mirrors the same API at http://localhost:6767; this connector targets the cloud host unless a self-host variant is requested.
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/supermemory.py). Do not print, log, or transmit the key value.

Files

SKILL.md
bin/supermemory.py

Maturity

🧪 Draft: written from Supermemory's public API docs; not yet live-tested end-to-end.

Files

SKILL.md and 1 other file in connectors/supermemory of Anil-matcha/awesome-muse-connectors.

SKILL.md
bin/supermemory.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Supermemory 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.

Supermemory compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Supermemory this skillAnil-matcha/awesome-muse-connectors	1.3k	—	~760	Automated safety check: Pass	MIT	3 days ago
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs	13k	8 repos	~2.3k	Automated safety check: Pass	MIT	3 mo ago
LLM Application DevMoizIbnYousaf/ai-agent-skills	1.1k	2 repos	~1.3k	Automated safety check: Pass	MIT	17 days ago
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit	260	4 repos	~1.4k	Automated safety check: Pass	Custom licence	7 mo ago
MCP Local RAGshinpr/mcp-local-rag	407	—	~4.4k	Automated safety check: Pass	MIT	today
Ms Agent Framework RAGshuyu-labs/WebCode	278	—	~1.1k	Automated safety check: Pass	Custom licence	3 mo ago

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Questions about Supermemory

What does Supermemory do?

Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings. Supermemory is an agent skill from Anil-matcha/awesome-muse-connectors. Store and recall with Supermemory: add memories and documents, hybrid search, upload files, tune settings.

When should I use Supermemory?

Supermemory fits situations like: phrases: supermemory; tasks that involve Retrieval-augmented generation.

How do I install Supermemory in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill supermemory -a claude-code`. Or copy the skill folder (connectors/supermemory in Anil-matcha/awesome-muse-connectors) into .claude/skills/supermemory in your project. Claude Code loads it when a task matches its description.

How do I install Supermemory in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill supermemory -a codex`. Or copy the skill folder (connectors/supermemory in Anil-matcha/awesome-muse-connectors) into .agents/skills/supermemory in your project. Codex loads it when a task matches its description.

Can I use Supermemory 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 Anil-matcha/awesome-muse-connectors --skill supermemory -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/supermemory, .gemini/skills/supermemory, .github/skills/supermemory and .opencode/skills/supermemory in your project.

What does Supermemory need to run?

Going by SKILL.md and its folder, Supermemory needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Supermemory 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 Supermemory 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 Supermemory use?

Supermemory is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Supermemory use?

About 760 tokens (SKILL.md is roughly 3k 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 Supermemory?

Skills that share tags, products or a category with Supermemory: Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars), Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and MCP Local RAG (shinpr/mcp-local-rag, 407 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Supermemory?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,338 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Supermemory

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Supermemory

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Files

Compare with similar skills

Similar skills

More from Anil-matcha/awesome-muse-connectors

Related

Questions about Supermemory