How Agistry works?
At the core of Agistry are two main components: the Agistry Hub and the Agistry Framework.
1. Agistry Hub
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.
2. Agistry Framework
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.
Developer Workflow Example
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.
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.
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