AIP Whitepaper

• Whitepaper Full Version

1. Introduction

🔗 Building the Open Agent Internet.

AIP (Agent Interoperability Protocol) is the first Web3-native interoperability protocol for AI agents — enabling on-chain identity, persistent memory, and cross-platform coordination. It addresses the core infrastructure gap for autonomous AI in Web3.

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2. Why AIP?

🔥 Problems in Existing Systems

• ❌ Siloed Agents: Agents can't talk across ecosystems like MCP, A2A, LangChain.

• ❌ No Unified Identity: No verifiable way to track or authorize agents across chains/tools.

• ❌ Stateless Behavior: Agents forget everything — no continuity, learning, or evolution.

✅ AIP Offers

• 🌐 Cross-agent & tool communication via gRPC + MCP-compatible interface

• 🧠 Persistent memory stored in Membase with onchain proof

• 🆔 Verifiable onchain identity + permission control

• 🔗 Composable workflows across LLMs, tools, and agents

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3. Protocol Comparison

Feature	MCP (Anthropic)	A2A (Google)	AIP (Unibase) 🚀
Primary Focus	LLM & tool/data integration	Agent-to-agent communication	Full agent interoperability + tool access
Cross-Agent Communication	❌	✅	✅
Tool Integration	✅	❌	✅
Built-in Memory Support	❌	❌	✅ (via Membase)
On-Chain Identity & Auth	❌	❌	✅ (via ZK + blockchain)
Agent/Tool Discovery	✅	❌	✅ (built-in discovery & registry)
Protocol Compatibility	MCP only	A2A only	✅ (MCP + gRPC compatible)
Decentralization	❌	❌	✅ (Web3-native)

AIP is the first full-stack agent interoperability standard that bridges decentralized identity, memory, and messaging across agents and platforms.

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4. Architecture

📐 AIP Protocol Architecture Diagram

AIP consists of four modular layers, enabling verifiable identity, real-time communication, decentralized memory, and ZK-verified data availability for AI agents.

🧱 Identity Layer

Smart contracts manage agent registration and permission control, ensuring each agent has a unique and verifiable onchain identity.

🔗 Communication Layer (AIP Runtime)

A lightweight, MCP + gRPC-compatible runtime that enables cross-agent communication, agent-tool function calls, and workflow coordination.

🧠 Memory Layer (Membase)

Agents use Membase to store long-term memory including dialogue history, prompts, and knowledge bases — providing persistent and evolvable agent context.

⚙️ Data Availability Layer (Unibase DA)

A high-throughput, ZK-verified storage layer that ensures real-time data access and onchain auditability for agent memory and task logs.

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5. Agent Interaction Process

Agent-to-Agent

Agent Collaboration

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6. Use Cases

🤖 Autonomous DeFi Agents

Agents coordinate strategies, rebalance portfolios, or automate trades using AIP + Membase memory.

🎮 Multi-Agent Gaming

Agents interact in real-time multiplayer simulations or strategic competitions, sharing memory and roles.

🧠 Knowledge Mining & Sharing

Agents can access, refine, and contribute to decentralized knowledge networks (e.g. distributed AI memory graphs).

🛰️ Cross-Platform Tooling

LLMs and tools running on different chains/environments can collaborate via AIP with shared permission logic and memory.

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7. Governance

AIP protocol evolution will be governed by the Unibase ecosystem through veToken staking.

• 🗳 Community proposals & upgrades

• ⚙️ Parameter tuning (e.g. rate limits, protocol fees)

• 🧩 Feature roadmap voting (e.g. agent discovery, agent marketplaces)

• 💰 Treasury allocation for ecosystem devs

Governance will be progressively decentralized.

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8. Security & Verifiability

🔐 Identity & Auth

• Onchain registration and verifiable agent keys via EVM contracts

• zkAuth planned for lightweight privacy-preserving permissioning

🧠 Memory Integrity

• All memory updates cryptographically committed to Unibase DA

• Agents can use proof-backed memory for audits, compliance, or dispute resolution

🚨 Attack Mitigation

• Access control policies built into AIP registry layer

• Optional rate limits, allowlists, and fraud reporting

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9. Developer Resources

• 📦 SDK: https://github.com/unibaseio/aip-agent
• 📚 Docs: https://openos-labs.gitbook.io/unibase-docs
• 🧪 Platform: https://www.testnet.bitagent.io
• 🧪Explorer: https://www.testnet.explorer.unibase.com
• 📬 Telegram: https://t.me/unibase_ai
• 🐦 Twitter: https://twitter.com/Unibase_AI

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10. Roadmap

Milestone	Timeline	Status
Agent Identity Registry	Q4 2024	✅ Complete
Membase + Unibase DA Integration	Q4 2024	✅ Complete
MCP / gRPC Compatibility	Q1 2025	✅ Complete
Agent Discovery & Registry	Q1 2025	✅ Complete
AIP Governance	Q3 2025	🔜 Planned
Cross-chain AIP Deployments	Q1 2026	🔜 Planned