Home

Agent Transport Protocol (ATP) — Wiki

The TCP/IP of AI Agents

Welcome to the ATP Wiki — the comprehensive guide to understanding, using, and contributing to the Agent Transport Protocol.

---

What is ATP?

ATP is a five-layer protocol stack for trust-aware, economically-optimal multi-agent networking. It provides the missing networking layer that allows AI agents to:

• Identify each other with cryptographic DIDs
• Trust each other with time-decayed scoring
• Negotiate capabilities with binding QoS contracts
• Compress context by 28x using semantic differentials
• Route tasks optimally across agent economies
• Recover from failures with circuit breakers and heartbeats

Quick Navigation

Page	Description
Getting Started	Install, build, and run your first ATP program
Architecture Overview	The five-layer protocol stack explained
Layer 1: Identity and Trust	Ed25519 DID, trust scoring, Sybil resistance
Layer 2: Capability Handshake	3-phase negotiation and QoS contracts
Layer 3: Context Compression	Semantic Context Differentials (SCD)
Layer 4: Economic Routing	Bellman-Ford, 5 routing patterns
Layer 5: Fault Tolerance	Circuit breaker, heartbeat, checkpoint
SDK API Reference	Complete function reference for atp-sdk
Python SDK	PyO3 bindings and Python usage
Benchmarks	AgentNet-Bench results and analysis
gRPC Service	Protobuf definitions and wire protocol
ATP vs MCP vs RAG	Why ATP exists and how it compares
Case Studies	Real-world use cases
Contributing	How to contribute to ATP
FAQ	Frequently asked questions

Key Numbers

Cost Reduction:     -53.4% vs sequential
Context Compression: 28x via SCD
Task Failures:       0 / 10,000
Quality Score:       0.904 (+8% over baselines)
Latency Reduction:  -29.3%
Routing Decisions:  < 1 microsecond
Tests:               280 passing, zero failures
Lines of Rust:      ~37,000 across 75 files

Links

• GitHub Repository
• Website with Interactive Playground

---

Created by Rajamohan Jabbala — AlphaForge AI Labs