Incarra

Program ID: 9cPZ5PjWUmL9g3os5d7xqsy9XSSKP2ekMNiYRNRYyV1

Solscan SVM: https://solscan.io/account/9cPZ5PjWUmL9g3os5d7xqsy9XSSKP2ekMNiYRNRYyV1?cluster=custom&customUrl=https://rpc.carv.testnet.soo.network/rpc/carv-McPrlbfMcW0ggpkvr07Tjs2YfviwpHaI

🎯 What is INCARRA?

INCARRA is a native AI Agent on CARV's SVM Chain that acts as your long-term interactive companion, research collaborator, and game-integrated NPC. It's the fusion of:

• 🧠 AI Pet (Tamagotchi + Gemini memory + Sci-Fi evolution)

• 🔬 DeSci Data Assistant (ArXiv, GitHub, Research APIs)

• 🎮 GameFi Dynamic NPC (Level up, achievements, reputation)

• 🆔 Modular Identity (CARV ID ERC-7231 integration)

• 🔗 Self-improving AAS (Autonomous Agent System on SVM)

🏆 Track Coverage - Winning All 4!

✅ Track 2.1: AI Agent Infrastructure (SVM Chain)

• On-chain execution: Actions stored in shared memory on CARV SVM

• Autonomous Agent System: Self-governing task loop with persistent state

• Dynamic behavior: Agent personality evolves based on user interactions

✅ Track 2.2: Decentralized Data with D.A.T.A.

• Real-time DeSci crawler: ArXiv + GitHub dataset integration

• Embeddings pipeline: Converts research data to queryable knowledge

• Verifiable processing: D.A.T.A. orchestration for transparent data flow

✅ Track 2.3: Modular Identity (CARV ID)

• ERC-7231 integration: Every agent bound to user via CARV ID

• Reputation evolution: On-chain reputation affects agent behavior

• Credential system: Academic achievements and research credentials

✅ Track 2.4: Open Innovation (AI + Web3)

• Real-world utility: Science education + DeSci research assistant

• Mass-market reach: Web interface + potential Telegram bot

• Extensible platform: Framework for AI agents in research community

🤖 AI Agent Features

Core Capabilities

• Natural Conversation: Context-aware chat with personality evolution

• Research Assistant: ArXiv paper search, analysis, and recommendations

• Data Analysis: Statistical guidance and methodology suggestions

• Problem Solving: Structured approach to research challenges

GameFi Elements

• Leveling System: Gain XP through interactions

• Reputation Scoring: CARV-based reputation affects responses

• Knowledge Evolution: Agent learns user's research interests

• Achievement System: Unlock credentials and accomplishments

DeSci Integration

• Paper Discovery: Real-time ArXiv and academic database search

• Research Tracking: Monitor user's research projects and progress

• Collaboration Suggestions: Connect with researchers in similar fields

• Citation Analysis: Track impact and relevance of research

🔮 Use Cases & Demo Scenarios

1. Research Student

"I'm working on my PhD in quantum computing. INCARRA helps me discover relevant papers, track my reading progress, and suggests new research directions based on my interests."

2. DeSci Researcher

"As a blockchain researcher, INCARRA aggregates the latest papers from ArXiv, connects me with GitHub repositories, and helps analyze trends in decentralized science."

3. Academic Institution

"Our university deploys INCARRA agents for students. Each agent evolves with the student's research journey, becoming a personalized academic companion."

4. GameFi Community

"INCARRA agents become NPCs in our science-themed metaverse. Their knowledge and personality affect gameplay, creating unique research quests."

🙏 Acknowledgments

• CARV Protocol: For the amazing SVM Chain and identity infrastructure

• Solana Foundation: For the robust blockchain platform

• Google: For the powerful Gemini AI API

• ArXiv: For open access to research papers

• DeSci Community: For inspiration and research direction

🎉 Hackathon Achievement

INCARRA successfully covers all 4 CARV Hackathon tracks:

✅ AI Agent Infrastructure: Native SVM agent with autonomous behavior
✅ Decentralized Data: D.A.T.A. framework integration with research APIs
✅ Modular Identity: Full CARV ID ERC-7231 implementation
✅ Open Innovation: Real-world DeSci utility with mass-market potential

Built with ❤️ for the future of decentralized science and AI agents.