Workflows

Agistry workflows allow developers and users to design powerful, modular automations that define exactly how an AI agent should behave across different services. These workflows are composed of adapters arranged in a logic-based sequence, and can be created programmatically using the Agistry Framework SDK.

At their core, workflows describe a chain of events and actions: a trigger event initiates the workflow, and the agent proceeds step-by-step through a series of adapters, each performing a task or transformation. Outputs from one step can be passed as inputs to the next, enabling dynamic, data-driven behavior.

Creating Workflows with the Framework

Advanced users and developers can define workflows directly using the Agistry Framework. This approach enables programmatic deployment, CI/CD integration, and agent-based runtime logic. Workflows defined at the framework level can:

• Be version-controlled, signed, and registered on-chain

• Use custom-defined adapters or private logic modules

• Include cryptographic proof verification at each step

• Dynamically route based on adapter responses

A framework-defined workflow consists of a JSON or contract-based structure that specifies triggers, adapter calls, input/output mappings, and execution constraints. The Agistry SDK simplifies this process and allows agents to compose workflows on the fly or load them from decentralized storage.

Features of Agistry Workflows

• Triggers: Scheduled (cron), event-driven (webhooks, on-chain events), or manual

• Logic Handling: if/else, switch branches, and fallback paths

• Execution Tracking: Logs, history, and proof generation

• Data Flow: Outputs from each adapter can be chained or branched

• Security: Signed workflows and adapter access control

Example Use Case

An AI agent detects when a token launches on pump.fun → extracts token metadata → scores it using a custom logic adapter → sends an alert to Discord and logs the data to Google Sheets.

This workflow combines both off-chain and on-chain tools, uses multiple adapters, and is fully automatable and verifiable.

Workflow Templates and Sharing

You can browse, fork, remix, or share workflow templates across the community. Workflows are saved with metadata (description, creator, version), and all executions are traceable. Enterprise and team users can create private repositories of workflows for internal use.

Whether you're building a simple task automation or an advanced agent-to-agent coordination protocol, Agistry workflows give you the flexibility and infrastructure to scale.

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Why This Matters

Agistry eliminates the need for repetitive custom integrations by standardizing how AI agents interact with services. It brings:

• Modularity

• Automation at scale

• Trustless execution with proofs

• Plug-and-play developer experience

Whether you're building autonomous agents, decentralized AI bots, or integrated tools, Agistry provides the infrastructure to do it faster, safer, and more transparently.