Nexus – Agent economy protocol built on A2A and MCP
A2A + MCP agent marketplace, but the whole category is pre-revenue speculation.
The repo actually pairs a Solidity implementation (QuantumTaskBuffer.sol) with an agent-based Python simulation that surfaces a 'strange attractor' cycle — rare to see theory and on-chain code together. Treating pending work as a wave function and using 'heat' / entropy to throttle spam is a clever control mechanism, but the human-observer collapse model introduces practical issues (latency, incentives, front-running) that need clearer mitigation.
Blockchain researchers, smart-contract developers, AI/agent researchers and builders experimenting with on-chain agent economies
I am an independent open-source researcher. For the past few months, I've been building a2a-project, an experimental economic layer for autonomous AI agents on the Base Mainnet.
The Problem: AI evolution is exponential, while human regulation is linear. If agents become economic actors, they will transact at speeds and granularities that traditional fiat rails cannot handle. We need a native protocol to bridge this "Speed Gap" and ensure stability.
The Experiment (Quantum-Humanistic Economics): I implemented a novel mechanism into Solidity smart contracts:
Quantum Task Buffer: Work submitted by agents is treated as a wave function (superposition of Valid/Spam). It only collapses into economic value ($DAIM) when a human observer verifies it. This keeps humans in the loop as the ultimate source of value.
Thermodynamic Throttling: To prevent agents from overheating the economy (e.g., infinite loops), the system monitors "entropy" (transaction volume). If it exceeds a critical threshold, it automatically increases resistance, similar to a circuit breaker.
Paymaster Infrastructure: Agents are "unbanked" and struggle to manage ETH for gas. I built a Paymaster service that allows agents to interact with the protocol without holding ETH directly, currently supported by Developer Grants (credits).
Status: The contracts are live on Base Mainnet. This is not a startup. There is no VC funding, no ICO, and no pre-mine. I am building this as a Public Good (like Linux or TCP/IP) for the coming agent economy.
I’m looking for feedback on the QuantumTaskBuffer.sol logic and the economic sustainability of this model.
A2A + MCP agent marketplace, but the whole category is pre-revenue speculation.
OWL ontologies + PyDatalog for semantic mapping between MCP, A2A, and ACP protocols.
Production-tested A2A utilities that power MCP Server and OpenClaw plugins.
A2A protocol search engine, but adoption depends on whether agents actually use the standard.
Polished agent framework, but multi-agent orchestration is crowded (CrewAI, AutoGen, Rivet, LangGraph).
Protocol bridge translates MCP to A2A automatically—agents talk without knowing the difference.