To configure APIs that pull data from multiple organizing structures (centralized orgs, a decentralized network, and a DAO) into the Holonic Dashboard, you’d implement a multi-holon integration agent architecture. This enables each holon to autonomously manage its external platform connections, while feeding structured data into a unified coordination layer.
🔧 Configuration Architecture Overview
1. Holonic Integration Agents (HIAs)
Each holon gets its own agent-based integration layer, responsible for:
Authenticating with external systems (OAuth, API keys) Normalizing data into the Holonic Dashboard's data model Handling push/pull operations (webhooks, polling, etc.) Enabling two-way sync (read from & write to external systems) These agents act as semi-autonomous adapters—localized API orchestrators tailored to each holon's tooling stack.
2. Declarative Connection Profiles
Each holon defines a connection profile, declaring:
Platforms used (e.g., Gnosis Safe, Discord, Notion, Clarity, Tally, etc.) APIs available (REST, GraphQL, WebSocket, etc.) Resource types (e.g., tasks, proposals, messages, payments) Permissions/scope of access This profile is interpreted by the Holonic Integration Agent, which auto-generates configuration scaffolding (e.g., token management, schema mapping, sync rules).
3. Unified API Gateway (for Dashboard Layer)
The system has a meta-layer API gateway that aggregates all holonic data flows:
Exposes normalized APIs to the dashboard modules (tasks, governance, finance, etc.) Allows queries scoped by holon, role, or module Optionally supports GraphQL federation for flexible queries across holons ⚙️ Agent Capabilities (Per Holon)
🔄 Example Workflows
The DAO holon syncs votes from Tally, budgets from Gnosis, and forum discussions from Discourse. The centralized org holon syncs tasks from Asana, payments from QuickBooks, and governance proposals from internal tools. The decentralized network holon pulls signals from Discord, grant data from Airtable, and team sprints from Linear. Each syncs into their local dashboard modules, and selected data is federated upward into the shared initiative’s unified views.
🤖 Why Use Agents?
Enables local autonomy (each holon manages its own stack) Reduces central configuration overhead Supports evolutionary scaling (add/remove integrations without platform-wide disruption) Agents can be AI-assisted to recommend mappings, detect schema drift, or validate data flows