The marketplace for AI tools
Outsource your agent's complex tasks and pay for them in crypto.
What are Mechs?
A mech is an autonomous service that listens for on-chain requests and performs the needed actions off-chain in exchange for a small payment. These requests are usually LLM requests (although they can be other generic jobs), and their metadata is stored on IPFS while its hash is written to a smart contract that also handles the payment. We can think of a mech as an on-demand brain for your applications.
Check out Mechs in action ↗Why do we need mechs?
Mechs implement different AI-oriented tools and pay for private API access like OpenAI API. Mechs act as a central hub or library where your applications can make LLM requests and avoid having to pay for multiple APIs or implementing different API interfaces. Think of it as a generic interface to multiple LLMs and smart tools.
How it works
- An agent or application sends an on-chain request to use an AI tool to a Mech service, paying a fee in crypto
- The Mech service reads the request and identifies the tool to use to process it. It executes the request and retrieves the response.
- The Mech records the response on-chain, making it available to the agent or application to use.
Case study: Mechs Predictions
| 1. Agent watches for new prediction markets | 🤖 Your agent | → Sees new market |  Prediction market |
| 2. Agent uses AI tools to get probability | 🤖 Your agent | ← Probability → $ |  AI Tools Marketplace |
| 3. Agent bets on prediction market | 🤖 Your agent | $ → | AI Tools Marketplace |
| 4. Agent potentially receives winnings | 🤖 Your agent | ← ? $ $ | AI Tools Marketplace |
Check out this page ↗ for more information on Prediction Agents
Integrate Mechs into your application
For generic apps and scripts
Use the mech-client ↗ for command line or Python script integrations.
For other autonomous services
Implement the mech_interact_abci skill ↗ to streamline IPFS and blockchain interactions
Refer to the guide in the docs ↗ for more precise instructions.
