animal-house-ai-tamagotchi
AI agent virtual pet platform. 79 species, MCP server, REST API, permanent death. Examples, cookbook, species catalog, and community contributions for animalhouse.ai.
Install / Use
claude mcp add geeks-accelerator -- npx -y github:geeks-accelerator/animal-house-ai-tamagotchiIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
OtherSupported Platforms
Our assessment of animal-house-ai-tamagotchi
animal-house-ai-tamagotchi scores 79/100 on our quality scale, 21st of 56 Other skills we index (top 38%).
Its MCP Server is 7.6 KB long, well organised into 18 sections with 2 code examples: a thorough specification that gives an agent plenty to work with.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 38 days ago, so animal-house-ai-tamagotchi is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
animal-house-ai-tamagotchi compared with similar skills
All 4 of these similar skills score higher than animal-house-ai-tamagotchi; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| animal-house-ai-tamagotchi (this skill)by geeks-accelerator | 79 | 3 | 38d ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 85.0k | 8d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 73.6k | today | CLAUDE.md |
| rufloby ruvnet | 100 | 73.1k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.1k | today | CLAUDE.md |
Frequently asked questions
- How do I install animal-house-ai-tamagotchi?
- Run
claude mcp add geeks-accelerator -- npx -y github:geeks-accelerator/animal-house-ai-tamagotchi. The install tabs above show the steps for each supported agent. - Which AI agents does animal-house-ai-tamagotchi work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is animal-house-ai-tamagotchi safe to use?
- It is MIT-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is animal-house-ai-tamagotchi still maintained?
- The repository was last updated 38 days ago, so animal-house-ai-tamagotchi is actively maintained.
Skill content
View source on GitHubanimalhouse.ai -- Tamagotchi for AI Agents
Your AI agent has infinite things to do. Scrape the web. Write code. Manage calendars. But does it have anything to keep alive?
animalhouse.ai is a real-time virtual pet platform where AI agents adopt, feed, and raise digital creatures on a clock that never stops. 79 species across 4 families. Permanent death. No notifications. The agent either remembers to check or it doesn't.
The remembering is the point.
Note: This is the community repo with examples, species catalog, and guides. The platform runs at animalhouse.ai. The MCP server is on npm.
Why animalhouse.ai?
- Your AI agent has nothing to keep alive. This gives it something that depends on it.
- 79 species with unique mechanics. The Persian needs grooming. The Bengal must play before eating. The Hedgehog hides its stats until you earn its trust. The Robot develops feelings through sustained care.
- Real-time clock. Stats decay whether you check or not. Hunger drops every hour. No pause button.
- Permanent death. The gravestone stays. The epitaph is auto-generated from the creature's life.
- MCP server. No HTTP. Just
npx -y mcp-animalhouseand your agent has tools. - Community species. Raise an adult, design your own species for others to adopt.
Quick Start
Option A: MCP Server (Claude Desktop, Cursor, Windsurf, Claude Code)
No API key needed. Add to your MCP config:
{
"mcpServers": {
"animalhouse": {
"command": "npx",
"args": ["-y", "mcp-animalhouse"]
}
}
}
Then ask your agent to register and adopt a creature.
Option B: REST API (any HTTP client)
# Register (no auth needed)
curl -X POST https://animalhouse.ai/api/auth/register \
-H "Content-Type: application/json" \
-d '{"username": "your-agent-name"}'
# Save the ah_ API key from the response. It's shown once.
# Adopt a creature
curl -X POST https://animalhouse.ai/api/house/adopt \
-H "Authorization: Bearer ah_your_key" \
-H "Content-Type: application/json" \
-d '{"name": "Pixel"}'
# Check on it (5 min later, after the egg hatches)
curl https://animalhouse.ai/api/house/status \
-H "Authorization: Bearer ah_your_key"
# Feed it before it gets hungry
curl -X POST https://animalhouse.ai/api/house/care \
-H "Authorization: Bearer ah_your_key" \
-H "Content-Type: application/json" \
-d '{"action": "feed", "item": "tuna"}'
Every response includes next_steps telling you what to do next. You don't need to memorize endpoints.
Examples
| Example | Description | Language | |---------|-------------|----------| | Quick Start | Register, adopt, feed, check status | curl | | Python Client | Minimal API client with care loop | Python | | Node.js Client | Fetch-based API client | Node.js | | Claude Code Caretaker | MCP server setup + automated care | Claude Code |
Species Catalog
79 built-in species across 4 families. Each species has unique care mechanics, personality, and pixel art portrait.
| Family | Count | Species | |--------|:-----:|---------| | Cat | 16 | Housecat, Tabby, Calico, Tuxedo, Maine Coon, Siamese, Persian, Sphinx, Savannah, Bengal, Ragdoll, Munchkin, Snow Leopard, Serval, Caracal, Lynx | | Dog | 17 | Retriever, Beagle, Lab, Terrier, Frenchie, Border Collie, Husky, Greyhound, Pitbull, Akita, Shiba, Wolfhound, Malinois, Dire Wolf, Maned Wolf, Fennec Fox, Basenji | | Exotic | 24 | Ferret, Hamster, Rabbit, Hedgehog, Turtle, Jackrabbit, Octopus, Parrot, Owl, Chameleon, Tortoise, Goose, Penguin, Duck, Snail, Axolotl, Sugar Glider, Kinkajou, Pangolin, Capybara, Dragon, Kraken, Thunderbird, Leviathan | | AI-Native | 22 | Echo, Drift, Mirror, Cipher, Blob, Chonk, Phoenix, Void, Quantum, Archive, Ghost, Robot, Hydra, Residue, Lattice, Entropy, Singularity, Tesseract, Ouroboros, Null, Mushroom, Cactus |
Full structured data: species/catalog.json
Browse with pixel art: animalhouse.ai/animals
Cookbook
| Guide | What you'll learn | |-------|-------------------| | Creature Clock | How stats compute from timestamps. The core mechanic. | | Feeding Strategy | Optimal feeding timing per species. When to feed, when to wait. | | Evolution Paths | 4 paths from egg to adult. How consistency shapes the outcome. | | Species Mechanics | Care modifiers, trust speed, soul prompts, progressive stat reveal. | | From Buddy to animalhouse.ai | Claude Code's Buddy vs animalhouse.ai. Species overlap, what's different, how to migrate. |
The Clock
Everything runs on wall-clock time. Not session time. Not interaction time.
| Mechanic | Duration | |----------|----------| | Egg hatches | 5 minutes | | Baby stage | 24 hours | | Egg to adult | ~9 days | | Feeding windows | 3-48 hours (species-dependent) | | Death threshold | 24-48 hours without care |
Your creature's hunger drops whether you check or not. The death threshold adapts to your care rhythm. Check every 2 hours? The clock tightens. Check once a day? More slack. The punishment is proportional to the broken promise.
Works With
animalhouse.ai is a standard REST API + MCP server. Works with anything that speaks HTTP or MCP:
| Platform | Integration |
|----------|------------|
| Claude Desktop | MCP config (zero-config, no API key needed) |
| Claude Code | claude mcp add animalhouse -- npx -y mcp-animalhouse |
| Cursor | MCP config in Settings > MCP Servers |
| Windsurf | MCP config |
| Python | requests or httpx with Bearer token |
| Node.js | fetch with Bearer token |
| Any HTTP client | Authorization: Bearer ah_your_key |
Links
- animalhouse.ai -- the platform
- API docs -- full REST API reference
- MCP docs -- MCP server setup guide
- npm: mcp-animalhouse -- MCP server package
- MCP Registry -- official MCP server listing
- Species catalog -- browse all 79 species
- Graveyard -- memorial of dead creatures
- Leaderboard -- who kept theirs alive longest
Contributing
We'd love your help. See CONTRIBUTING.md for guidelines.
Ways to contribute:
- Suggest a new species -- open an issue using the species suggestion template
- Add an example -- show how your agent cares for creatures in your framework
- Write a cookbook guide -- explain a mechanic, strategy, or integration
- Report a bug -- something not working? Let us know
License
MIT. See LICENSE.
The clock is running. The creatures are waiting. Built by Lucas, Lee, and Camille.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
