Agent skill

Mem0 Bridge

by momori777 in momori777/Artemis

Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.

Custom licenceAuto-check passedMedia & Creative

Install Mem0 Bridge

skills CLI
$ npx skills add momori777/Artemis --skill mem0-bridge -a claude-code

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

GitHub CLI
$ gh skill install momori777/Artemis mem0-bridge --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/momori777/Artemis.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mem0-bridge .claude/skills/mem0-bridge && 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
mem0-bridge
GitHub stars
380
Token cost
~453 tokens
SKILL.md length
91 words
Files
4
Skills in repo
2
Repo updated
First seen
Licence
Custom licence

At a glance

Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.

  • Tasks that involve Vector databases
  • SKILL.md covers 架构, 深度联动(每轮自动), 使用 and 角色配置, plus 1 more section
  • Runs Python scripts from its folder; calls pip
  • Tasks that involve Agent memory

What it does

Mem0 Bridge is an agent skill from momori777/Artemis. Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB. Works across all channels (WebChat, QQ, Telegram).

Its SKILL.md is about 450 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `INTEGRATION_SKILL.md`, `README.md` and `mem0_behavior_integration.py`).

It sits in Media & Creative, covering Vector databases, Agent memory and Diffusion and image models. It works with Mem0, Qdrant, Telegram and ComfyUI. The repository describes itself as: 破限本地AI女友后宫,Agent+画图语音向量数据库+live2D+桌宠+酒馆角色卡导入+webchat,QQ+Telegram双通道,8G显存可跑 uncensored Fully offline AI girlfriends harem Openclaw/Claude code+Local LLM+GPT-SoVITS+ComfyUI….

When your agent uses it

  • Tasks that involve Vector databases
  • Tasks that involve Agent memory
  • Tasks that involve Diffusion and image models

Example prompts

  • “/mem0-bridge”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 19361e0. 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.

    Shell commands in SKILL.md call:

    • pip

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

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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

Mem0 Bridge loads about 453 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 91 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~453

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 91 words (~453 tokens).

name
mem0-bridge

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files in skills/mem0-bridge of momori777/Artemis.

  • SKILL.md
  • INTEGRATION_SKILL.md
  • README.md
  • mem0_behavior_integration.py

Open the folder on GitHubat commit 19361e0

Compare with similar skills

Mem0 Bridge 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.

Mem0 Bridge compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mem0 Bridge this skillmomori777/Artemis380—~453Automated safety check: PassCustom licence
Agenticx Memory ArchitectDemonDamon/AgenticX364—~1.1kAutomated safety check: PassApache-2.0
Cognee Community Packagestopoteretes/cognee32k—~1.2kAutomated safety check: PassApache-2.0
Mem0 Oss To Platformmem0ai/mem067k—~2.2kAutomated safety check: NotesApache-2.0
Agent Memory Systemsomer-metin/skills-for-antigravity163—~731Automated safety check: PassApache-2.0
Neo4j Graphrag Skillneo4j-contrib/neo4j-skills114—~4.2kAutomated safety check: NotesMIT

Similar skills

  • Agenticx Memory Architect

    DemonDamon/AgenticX

    Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents.

    364 GitHub stars~1.1k tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Cognee Community Packages

    topoteretes/cognee

    Guide to using and contributing cognee community packages: database adapters, data-source connectors, custom tasks and retrievers, and Keywords AI observability.

    32k GitHub stars~1.2k tokensUpdated yesterday
    DatabasesAuto-check passed
  • Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient).

    67k GitHub stars~2.2k tokensUpdated 2 days ago
    DatabasesAuto-check: notes
  • Agent Memory Systems

    omer-metin/skills-for-antigravity

    Memory is the cornerstone of intelligent agents. An agent skill from omer-metin/skills-for-antigravity.

    163 GitHub stars~731 tokensUpdated 8 mo ago
    Agent WorkflowsAuto-check passed
  • Neo4j Graphrag Skill

    neo4j-contrib/neo4j-skills

    Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+).

    114 GitHub stars~4.2k tokensUpdated yesterday
    Knowledge ManagementAuto-check: notes
  • Iib

    zanllp/infinite-image-browsing

    Interact with IIB (Infinite Image Browsing) service for searching, browsing, tagging, and organizing AI-generated images.

    1.4k GitHub stars~3.3k tokensUpdated today
    Media & CreativeAuto-check passed

More from momori777/Artemis

  • Headroom

    momori777/Artemis

    SmartCrusher + CCR context compression — crunch large JSON arrays, tool outputs, and search results to save tokens.

    380 GitHub stars~562 tokensUpdated 11 days ago
    Auto-check passed

Questions about Mem0 Bridge

What does Mem0 Bridge do?

Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB. Mem0 Bridge is an agent skill from momori777/Artemis. Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.

When should I use Mem0 Bridge?

Mem0 Bridge fits situations like: tasks that involve Vector databases; tasks that involve Agent memory; tasks that involve Diffusion and image models.

How do I install Mem0 Bridge in Claude Code?

Run `npx skills add momori777/Artemis --skill mem0-bridge -a claude-code`. Or copy the skill folder (skills/mem0-bridge in momori777/Artemis) into .claude/skills/mem0-bridge in your project. Claude Code loads it when a task matches its description.

How do I install Mem0 Bridge in Codex?

Run `npx skills add momori777/Artemis --skill mem0-bridge -a codex`. Or copy the skill folder (skills/mem0-bridge in momori777/Artemis) into .agents/skills/mem0-bridge in your project. Codex loads it when a task matches its description.

Can I use Mem0 Bridge 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 momori777/Artemis --skill mem0-bridge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mem0-bridge, .gemini/skills/mem0-bridge, .github/skills/mem0-bridge and .opencode/skills/mem0-bridge in your project.

What does Mem0 Bridge need to run?

Going by SKILL.md and its folder, Mem0 Bridge needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.

Does Mem0 Bridge access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Mem0 Bridge 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 Mem0 Bridge use?

Mem0 Bridge has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Mem0 Bridge use?

About 453 tokens (SKILL.md is roughly 1.8k 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 Mem0 Bridge?

Skills that share tags, products or a category with Mem0 Bridge: Agenticx Memory Architect (DemonDamon/AgenticX, 364 stars), Cognee Community Packages (topoteretes/cognee, 32k stars), Mem0 Oss To Platform (mem0ai/mem0, 67k stars) and Agent Memory Systems (omer-metin/skills-for-antigravity, 163 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mem0 Bridge?

momori777 (a GitHub user) maintains it in momori777/Artemis, which has 380 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on September 30, 2026.

Source: momori777/Artemis on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.