Open Research on Software Defined Economy
Open-SDE is an open research initiative initiated by Mossland Lab (lab@moss.land), exploring how economies evolve when software, AI agents, and governance code become the primary mechanisms for decision-making and execution.
This repository treats Software Defined Economy (SDE) not as a future concept, but as an emerging operational reality.
Software Defined Economy refers to economic systems where:
- Economic rules are encoded as software
- Decisions are made by AI agents
- Execution occurs automatically via code, APIs, and protocols
- Governance is enforced through executable constraints
In SDE, the economy is not merely managed by humans — it is run by code.
Most discussions around SDE focus on:
- Financial automation
- Digital assets
- Platform economics
Open-SDE takes a different approach:
What happens when software directly controls real-world assets, infrastructure, energy, and actions — and how do we govern it safely?
This research emphasizes:
- Reality-anchored execution
- Agent-native economic actors
- Governance as code, not policy documents
- AI agents as first-class economic actors
- Agent-to-agent (A2A) coordination and contracts
- Responsibility, reputation, and failure handling
- Digital Twin → Decision → Real-world action
- Economic systems with physical constraints and costs
- Simulation limits and execution risk
- Governance hooks embedded in execution flows
- Policy simulation before deployment
- Human override conditions defined explicitly in code
Reality Signals
↓
Digital Twin
↓
Agent Decision
↓
Governance Gate
↓
Execution (Physical / On-chain / API)
This loop represents the minimum unit of a Software Defined Economy.
- Research notes and concept papers
- Architecture diagrams and design patterns
- Agent behavior experiments
- Governance mechanisms and simulations
- Failure cases and postmortems
This is not a polished whitepaper repository. Iteration, incomplete ideas, and revisions are expected.
As AI agents begin to:
- Allocate resources
- Set prices
- Execute contracts
- Control infrastructure
the critical question becomes:
How do we design economic systems that remain safe, interpretable, and governable when humans are no longer in the loop?
Open-SDE exists to explore that boundary.
🧪 Experimental
🚧 Evolving
🌍 Open Research
MIT License unless otherwise noted. Content may be reused with attribution.
Mossland Lab
📧 lab@moss.land
Mossland Lab conducts open research on agentic systems, digital twins, and executable governance for software-defined execution in the real world.