AIP Whitepaper
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.
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
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.
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.
5. Agent Interaction Process
Agent-to-Agent

Agent Collaboration

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.
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.
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
9. Developer Resources
🧪 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
10. Roadmap
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
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