Grant Proposal – EOSAI: Decentralized AI Agents

applications/eosai-decentralized-ai-agents.md

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+---
+PR_ID: 263
+Project_Name: EOSAI – Decentralized AI Agents for On-Chain Automation
+Team_Name: EOSAI Core
+Website: https://github.com/mikeseos/eosai
+Legal_Entity: EOSAI Labs Ltd
+Legal_Address: Ireland
+Grant_Amount: 90000
+Grant_Level: Company-level Grant
+Contact_Name: Michael Scanlon
+Contact_Email: [email protected]
+Github_Account: mikeseos
+Open_Source: MIT
+Token_Sale: No
+---
+# EOS Network Foundation Grant Application
+
+## Project Name
+EOSAI – Decentralized AI Agents for On-Chain Automation
+
+## Project Description
+EOSAI is an open-source framework that enables the creation and deployment of decentralized AI agents designed to autonomously interact with smart contracts on the EOS blockchain. These lightweight agents are capable of executing deterministic rule-based logic, integrating off-chain AI inference where needed, and enabling next-generation automation for DeFi, NFTs, DAOs, and governance processes on EOS.
+
+EOSAI’s core goal is to empower developers and dApp creators to build intelligent, self-operating systems that drive engagement, reduce overhead, and enhance the utility of the EOS ecosystem.
+
+## Team Members & Contact
+- **Name**: Michael Scanlon  
+- **Email**: [email protected]  
+- **Telegram**: @mikespop  
+- **Location**: Ireland  
+- **GitHub**: github.com/mikeseos
+
+**Contact Name:** Michael Scanlon  
+**Contact Email:** [email protected]  
+**Project Name:** EOSAI – Decentralized AI Agents for On-Chain Automation  
+**Team Name:** EOSAI Core
+
+## Relevant Experience
+Lead developer with experience in AI integration, blockchain infrastructure, and open-source tools. Former media tech entrepreneur with a history of delivering lightweight developer SDKs and smart contract automation tools. Contributor to crypto-related automation projects and backend AI workflows.
+
+## Project Goals
+- Provide an SDK for building EOS-compatible decentralized agents (TypeScript + Python)
+- Deploy an EOS smart contract that registers, manages, and schedules agent operations
+- Enable optional integration with external AI APIs (e.g. OpenAI, open models) via secure off-chain oracles
+- Launch a minimal frontend dashboard to configure and deploy agents
+- Deliver working sample agents (e.g. auto-yield switcher, NFT market monitor, DAO voter)
+
+## Milestones & Funding
+
+### Milestone 1 – EOSAI SDK + Documentation
+- TypeScript and Python bindings
+- EOS-compatible template agents
+- CLI deployment tool
+- Developer docs and tutorials  
+**Timeline**: 4 weeks  
+**Funding**: $20,000 in EOS
+
+---
+
+### Milestone 2 – Smart Contract + On-chain Agent Registry
+- EOS smart contract for agent registration
+- Permissioned execution and scheduling logic
+- eosio.token integration for agent-funding  
+**Timeline**: 4 weeks  
+**Funding**: $20,000 in EOS
+
+---
+
+### Milestone 3 – Frontend DApp + Hosted Demo
+- React-based dashboard
+- Agent setup and monitoring UI
+- Deployed test agents interface  
+**Timeline**: 4 weeks  
+**Funding**: $25,000 in EOS
+
+---
+
+### Milestone 4 – Sample Agents + DevRel
+- Auto-yield farming agent (DeFi)
+- Governance auto-voter agent (DAO)
+- NFT market sniping agent
+- Publish onboarding guides and community content  
+**Timeline**: 4 weeks  
+**Funding**: $25,000 in EOS
+
+---
+
+## Total Requested Funding
+$90,000 in EOS, released over 4 milestones
+
+## Licensing
+MIT License – fully open-source
+
+## Grant Category
+Company-level Grant (Infrastructure, Tooling, AI Innovation)
+
+## Value to EOS
+- Brings AI-native tooling to the EOS ecosystem
+- Encourages developer onboarding via accessible SDKs
+- Demonstrates EOS performance via automated smart agents
+- Builds reusable infrastructure for future AI-blockchain applications
+
+## Future Vision
+EOSAI can evolve into a modular platform enabling agent-based trading, governance, and content creation. By anchoring agent coordination and execution on-chain, EOSAI showcases EOS as a high-performance, future-ready blockchain for AI-driven applications.