I craft unique cereal names, stories, and ridiculously cute Cereal Baby images.

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Construya agentes de IA potentes y seguros alimentados por Starknet.
3 years
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A toolkit for creating AI agents that can interact with the Starknet blockchain. Available as both an NPM package and a ready-to-use NestJS server with a web interface. Supports multiple AI providers including Anthropic, OpenAI, Google Gemini, and Ollama.
Quick Start
Prerequisites
- Starknet wallet (recommended: Argent X)
- AI provider API key (Anthropic/OpenAI/Google Gemini/Ollama)
- Node.js and pnpm installed
Installation
git clone https://github.com/kasarlabs/snak.git
cd snak
pnpm install
Configuration
- Create a
.env
file:
# Starknet configuration (mandatory)
STARKNET_PUBLIC_ADDRESS="YOUR_STARKNET_PUBLIC_ADDRESS"
STARKNET_PRIVATE_KEY="YOUR_STARKNET_PRIVATE_KEY"
STARKNET_RPC_URL="YOUR_STARKNET_RPC_URL"
# AI Provider configuration (mandatory)
AI_PROVIDER_API_KEY="YOUR_AI_PROVIDER_API_KEY"
AI_MODEL="YOUR_AI_MODEL"
AI_PROVIDER="YOUR_AI_PROVIDER"
# NestJS server configuration
SERVER_API_KEY="YOUR_SERVER_API_KEY"
SERVER_PORT="YOUR_SERVER_PORT"
#Node Configuration # optional by default : production
NODE_ENV="YOUR_NODE_ENV"
# Agent additional configuration
POSTGRES_USER="YOUR_POSTGRES_USER"
POSTGRES_PASSWORD="YOUR_POSTGRES_PASSWORD"
POSTGRES_ROOT_DB="YOUR_POSTGRES_ROOT_DB"
POSTGRES_HOST="YOUR_POSTGRES_HOST"
POSTGRES_PORT="YOUR_POSTGRES_PORT"
- Create your agent.config.json
{
"name": "Your Agent name",
"bio": "Your AI Agent Bio",
"lore": ["Some lore of your AI Agent 1", "Some lore of your AI Agent 1"],
"objectives": [
"first objective that your AI Agent need to follow",
"second objective that your AI Agent need to follow"
],
"knowledge": [
"first knowledge of your AI Agent",
"second knowledge of your AI Agent"
],
"interval": "Your agent interval beetween each transaction of the Agent in ms,",
"chat_id": "Your Agent Chat-id for isolating memory",
"autonomous": "Your agent is autonomous or not",
"plugins": ["Your first plugin", "Your second plugin"],
"mcpServers": {
"nxp_server_example": {
"command": "npx",
"args": ["-y", "@npm_package_example/npx_server_example"],
"env": {
"API_KEY": "YOUR_API_KEY"
}
},
"local_server_example": {
"command": "node",
"args": ["node /path/to/local_server/dist/index.js"]
}
}
}
You can simply create your own agent configuration using our tool on snakagent
Usage
Prompt Mode
Run the promt:
# start with the default.agent.json
pnpm run start
# start with your custom configuration
pnpm run start --agent="name_of_your_config.json"
Server Mode
Run the server :
# start with the default.agent.json
pnpm run start:server
# start with your custom configuration
pnpm run start:server --agent="name_of_your_config.json"
Available Modes
Interactive Mode | Autonomous Mode | |
---|---|---|
Prompt Mode | ✅ | ✅ |
Server Mode | ✅ | ❌ |
Implement Snak in your project
- Install snak package
#using npm
npm install @starknet-agent-kit
# using pnpm
pnpm add @starknet-agent-kit
- Create your agent instance
import { StarknetAgent } from 'starknet-agent-kit';
const agent = new StarknetAgent({
provider: new RpcProvider({ nodeUrl: process.env.STARKNET_RPC_URL }),
accountPrivateKey: process.env.STARKNET_PRIVATE_KEY,
accountPublicKey: process.env.STARKNET_PUBLIC_ADDRESS,
aiModel: process.env.AI_MODEL,
aiProvider: process.env.AI_PROVIDER,
aiProviderApiKey: process.env.AI_PROVIDER_API_KEY,
signature: 'key',
agentMode: 'auto',
agentconfig: y,
});
const response = await agent.execute("What's my ETH balance?");
Actions
To learn more about actions you can read this doc section. A comprehensive interface in the Kit will provide an easy-to-navigate catalog of all available plugins and their actions, making discovery and usage simpler.
To add actions to your agent you can easily follow the step-by-steps guide here
Contributing
Contributions are welcome! Feel free to submit a Pull Request.
License
MIT License - see the LICENSE file for details.
For detailed documentation visit docs.kasar.io
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Reviews

user_7Z54WwgA
As an avid user of the mcp application, I found Snak by KasarLabs to be an outstanding addition to my toolkit. The seamless integration and user-friendly interface make it incredibly efficient for my needs. Highly recommend giving it a try! For more information, visit: https://github.com/kasarlabs/snak