How Agistry works?
Last updated
Last updated
At the core of Agistry are two main components: the Agistry Hub and the Agistry Framework.
The Agistry Hub is a dashboard interface that allows users and developers to visually manage, configure, and orchestrate AI agents. It serves as the main control panel for interacting with the Agistry ecosystem.
Key Capabilities:
Agent Creation: Build or plug in your own AI agents.
Adapter Discovery: Browse and connect available adapters by capability.
Workflow Builder: Visually define workflows and automation sequences.
Monitoring & Logs: Track agent activity, adapter execution, and error events.
Permission Management: Set permissions and scopes for agent-adapter interactions.
Template Library: Use or publish workflow templates for rapid deployment.
Version Control: Maintain different versions of workflows and adapters.
Test & Sandbox Mode: Simulate agent behavior in a controlled environment before deployment.
Real-time Notifications: Get alerts for workflow events, failures, or user-defined triggers.
All workflows and configurations created in the Hub are backed by on-chain logic through the Agistry Framework, ensuring transparency and cryptographic proof of execution.
The Agistry Framework is a modular, decentralized protocol layer that powers how agents interact with tools via smart adapters.
Core Features:
Smart Adapters: On-chain or off-chain interfaces that allow agents to execute actions on external APIs, services, or contracts.
Composability: Adapters are plug-and-play modules with standardized inputs/outputs.
Programmable Logic: Developers can write and publish adapters with programmable conditions, limits, and response formats.
Proof System: Every adapter execution can generate a verifiable cryptographic proof (e.g. zk, signed logs, etc).
How It Works:
Agent sends a request through the framework (via the Hub or API).
Framework finds a matching adapter based on declared capabilities.
Adapter executes the logic, whether calling an API, generating an image, or querying a blockchain.
Results are returned to the agent and logged for transparency and auditability.
Proof of Execution is generated and optionally stored on-chain.
Adapters can be public, private, or gated by access tokens/NFTs, enabling marketplace-like behavior for custom services.
Build an Agent: Create an AI agent using your preferred stack (LLM, multi-modal, etc).
Register Agent: Connect it to Agistry via API or dashboard.
Compose Workflows: Select adapters (e.g. OpenAI, Discord, Telegram) and define sequences.
Deploy & Monitor: Activate automation, monitor behavior, and retrieve execution proofs.
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.
The Agistry Framework SDK is open-source and available on our GitHub: