openserv-agent-sdk

You can build autonomous AI agents by using the OpenServ SDK to provision workflows, define capabilities, and manage multi-agent orchestration. It provides a structured framework to reduce integration effort and accelerate deployment across the platform.

Runless capabilities let the platform handle AI generation automatically, while runnable capabilities allow developers to write custom logic and use the generate() method for platform-delegated LLM calls. Both approaches are supported by the OpenServ SDK.

ERC-8004 provides on-chain identity for autonomous agents to ensure discoverability within the OpenServ platform. The SDK supports provisioning workflows that integrate this identity mechanism, allowing agents to be identified and orchestrated on-chain.

The best way to provision and run multi-agent workflows is by using the OpenServ SDK's example code to define an agent, provision it with a workflow, and execute it. The included reference materials provide on-demand troubleshooting patterns for this process.

Yes, integrating with the openserv-client API is part of managing and running autonomous AI agents on the OpenServ platform. The SDK relies on this API to handle triggers, platform-delegated LLM calls, and multi-agent orchestration.

Yes, you can implement custom logic in your autonomous agent workflows using runnable capabilities. The SDK provides a generate() method that allows developers to execute platform-delegated LLM calls while maintaining control over the agent's custom behavior.