AIP Whitepaper
Last updated
Last updated
🔗 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.
❌ 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.
🌐 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
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.
AIP consists of four modular layers, enabling verifiable identity, real-time communication, decentralized memory, and ZK-verified data availability for AI agents.
Smart contracts manage agent registration and permission control, ensuring each agent has a unique and verifiable onchain identity.
A lightweight, MCP + gRPC-compatible runtime that enables cross-agent communication, agent-tool function calls, and workflow coordination.
Agents use Membase to store long-term memory including dialogue history, prompts, and knowledge bases — providing persistent and evolvable agent context.
A high-throughput, ZK-verified storage layer that ensures real-time data access and onchain auditability for agent memory and task logs.
Agent-to-Agent
Agent Collaboration
Agents coordinate strategies, rebalance portfolios, or automate trades using AIP + Membase memory.
Agents interact in real-time multiplayer simulations or strategic competitions, sharing memory and roles.
Agents can access, refine, and contribute to decentralized knowledge networks (e.g. distributed AI memory graphs).
LLMs and tools running on different chains/environments can collaborate via AIP with shared permission logic and memory.
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.
Onchain registration and verifiable agent keys via EVM contracts
zkAuth planned for lightweight privacy-preserving permissioning
All memory updates cryptographically committed to Unibase DA
Agents can use proof-backed memory for audits, compliance, or dispute resolution
Access control policies built into AIP registry layer
Optional rate limits, allowlists, and fraud reporting
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
📦 SDK:
📚 Docs:
🧪 Platform:
🧪Explorer:
📬 Telegram:
🐦 Twitter:
