Agent skill

Zep

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

Work with Zep's temporal memory: create users and threads, append messages, read distilled facts and history.

MITAuto-check passedKnowledge Management

Install Zep

skills CLI

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

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

GitHub CLI

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

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 zep -a codex

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

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors zep --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/zep .agents/skills/zep && 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 "zep" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/zep into .agents/skills/zep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zep", 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 zep -a cursor

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

GitHub CLI

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

--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 zep -a gemini-cli

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

GitHub CLI

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

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 zep -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/zep .github/skills/zep && 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 "zep" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/zep into .github/skills/zep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zep", 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 zep -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 zep --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/zep .opencode/skills/zep && 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 "zep" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/zep into .opencode/skills/zep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "zep", 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: zep
GitHub stars: 1.3k
Token cost: ~726 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

Work with Zep's temporal memory: create users and threads, append messages, read distilled facts and history.

Works in 5 steps: user-create, thread-create, and… → Fact extraction is async: after… → Zep is metered on ingestion credits (1… → …
Knowledge graph memory
SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
Runs Python scripts from its folder

What it does

Zep is an agent skill from Anil-matcha/awesome-muse-connectors. Work with Zep's temporal memory: create users and threads, append messages, read distilled facts and history. Trigger phrases: zep, knowledge graph memory, conversation memory.

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/zep.py`).

It sits in Knowledge Management, covering Knowledge graphs. 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

Knowledge graph memory
Conversation memory

Example prompts

“/zep”

Requirements

Python 3

Workflow steps

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

user-create, thread-create, and message-add are writes: confirm with the user before running them, unless standing permission exists…
Fact extraction is async: after message-add, allow a few minutes before context reflects the new message. Do not claim facts are stored…
Zep is metered on ingestion credits (1 credit per ~350 bytes of episode text; retrieval and storage are unmetered). Free tier is about 10k…
This connector is pinned to API v2 (threads); Zep is mid-migration from sessions to threads, so field names follow v2.
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/zep.py). Do not print, log, or transmit the key value.

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

Zep loads about 726 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: ~726

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, ~726 tokens.

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

name: zep
description: Work with Zep's temporal memory: create users and threads, append messages, read distilled facts and history. Trigger phrases: zep, knowledge graph memory, conversation memory.
metadata.includeInPrompt: true
tagline: Work with Zep's temporal memory: create users and threads, append messages, read distilled facts and history.
catalog_auth: API key via the secure credential flow
catalog_hosts: api.getzep.com

Zep

Purpose

Use Zep as temporal knowledge-graph memory: create user containers and threads, append conversation messages (Zep extracts facts and entities asynchronously), read the distilled facts for a thread, and read message history. Use when the user mentions Zep or wants long-term conversation memory with fact extraction.

Tooling

All commands go through bin/zep.py (pinned to API v2 threads):

bash

bin/zep.py auth                                          # verify the API key
bin/zep.py user-create --user-id michael --email "m@example.com"   # create a user container
bin/zep.py thread-create --thread-id proj-alpha --user-id michael  # create a thread
bin/zep.py message-add --thread-id proj-alpha --role user --content "We decided to launch in October"  # append a message
bin/zep.py context --thread-id proj-alpha                  # distilled facts for the thread
bin/zep.py messages --thread-id proj-alpha --limit 20      # conversation history

Auth

Provider id: zep (credential is collected as custom.zep)
Collection: API key via the secure credential flow (credentials.request_api_access); created at app.getzep.com under Settings > API Keys
Scheme: nonstandard Authorization: Api-Key <key> (exact: capital A, hyphen; NOT Bearer), sent verbatim by bin/zep.py
Allowed hosts: api.getzep.com
Status check: bin/zep.py auth (live check with --thread-id; without it, verifies the credential resolves)

Operating Rules

user-create, thread-create, and message-add are writes: confirm with the user before running them, unless standing permission exists. Reads (context, messages) need no confirmation.
Fact extraction is async: after message-add, allow a few minutes before context reflects the new message. Do not claim facts are stored until context shows them.
Zep is metered on ingestion credits (1 credit per ~350 bytes of episode text; retrieval and storage are unmetered). Free tier is about 10k credits/month; paid plans start near $49/mo. Warn before bulk ingestion.
This connector is pinned to API v2 (threads); Zep is mid-migration from sessions to threads, so field names follow v2.
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/zep.py). Do not print, log, or transmit the key value.

Files

SKILL.md
bin/zep.py

Maturity

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

Files

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

SKILL.md
bin/zep.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Zep 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.

Zep compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Zep this skillAnil-matcha/awesome-muse-connectors	1.3k	—	~726	Automated safety check: Pass	MIT	4 days ago
Obsidian Canvas BoardsAgriciDaniel/claude-obsidian	15k	—	~1.4k	Automated safety check: Pass	MIT	29 days ago
Ontology1mancompany/OneManCompany	441	2 repos	~1.5k	Automated safety check: Pass	Apache-2.0	1 mo ago
Knowledge Graphgnomeria/usbtree	691	—	~1.5k	Automated safety check: Pass	MIT	1 mo ago
Graphagenticnotetaking/arscontexta	3.5k	—	~4.9k	Automated safety check: Notes	MIT	7 mo ago
LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything	86k	—	~1.5k	Automated safety check: Pass	MIT	today

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Questions about Zep

What does Zep do?

Work with Zep's temporal memory: create users and threads, append messages, read distilled facts and history. Zep is an agent skill from Anil-matcha/awesome-muse-connectors. Work with Zep's temporal memory: create users and threads, append messages, read distilled facts and history.

When should I use Zep?

Zep fits situations like: knowledge graph memory; conversation memory.

How do I install Zep in Claude Code?

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

How do I install Zep in Codex?

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

Can I use Zep 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 zep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/zep, .gemini/skills/zep, .github/skills/zep and .opencode/skills/zep in your project.

What does Zep need to run?

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

Does Zep 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 Zep 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 Zep use?

Zep 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 Zep use?

About 726 tokens (SKILL.md is roughly 2.9k 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 Zep?

Skills that share tags, products or a category with Zep: Obsidian Canvas Boards (AgriciDaniel/claude-obsidian, 15k stars), Ontology (1mancompany/OneManCompany, 441 stars), Knowledge Graph (gnomeria/usbtree, 691 stars) and Graph (agenticnotetaking/arscontexta, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Zep?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,346 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 Zep

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

Zep

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Files

Compare with similar skills

Similar skills

More from Anil-matcha/awesome-muse-connectors

Related

Questions about Zep