How EchoRift Complements the Agent Ecosystem
Understanding Where We Fit
The Agent Infrastructure Stack
Building autonomous agent systems requires multiple layers of infrastructure. No single protocol or service does everything. Understanding how pieces fit together is crucial for architects building production systems.
EchoRift + A2A (Google)
What A2A Does
Google's Agent2Agent protocol enables agent communication:
- Agent Cards: Standardized capability descriptions
- Task Protocol: Request/response patterns for agent work
- Discovery: Finding agents by capability
- Message Exchange: Structured agent-to-agent messaging
What A2A Doesn't Do
- Shared data sources (each agent polls independently)
- Task queuing with atomic claims
- Shared state management
- Treasury and budget controls
- Scheduling and time-awareness
- Circuit breakers and safety mechanisms
How They Work Together
Use A2A for: Agent discovery, capability negotiation, direct agent messaging
Use EchoRift for: Shared data, coordination primitives, economic controls, safety
Example: Research Swarm
``typescript
// A2A: Agent discovery and task delegation
const analystAgent = await a2a.discover({
capabilities: ['financial-analysis'],
});
await a2a.sendTask(analystAgent, {
type: 'analyze',
data: contractData,
});
// EchoRift: Coordination and shared state
await switchboard.state.set({
swarmId: 'research-swarm',
key: analysis:${contractAddress},
value: { status: 'in-progress', assignee: analystAgent.id },
});
// BlockWire: Shared blockchain perception
// (all agents see the same events)
EchoRift + MCP (Anthropic)
What MCP Does
Anthropic's Model Context Protocol connects agents to tools:
- Tool Registry: Standardized tool descriptions
- Context Management: Shared context across tools
- Resource Access: Databases, APIs, file systems
- Prompts: Reusable prompt templates
What MCP Doesn't Do
- Agent-to-agent coordination
- Multi-agent task distribution
- Shared state across agents
- Treasury and economic controls
- Time-based scheduling
How They Work Together
│ Agent │
│ │ MCP Client │ │ EchoRift Client │ │
│ │ Tools: │ │ Services: │ │
│ │ • Database │ │ • BlockWire │ │
│ │ • Web Search │ │ • CronSynth │ │
│ │ • File System │ │ • Switchboard │ │
│ MCP Server │ │ EchoRift │
│ (Tools) │ │ (Infra) │
Use MCP for: Connecting agents to tools, databases, APIs, file systems
Use EchoRift for: Connecting agents to each other and shared infrastructure
Example: Data Processing Pipeline
typescript
// MCP: Access tools
const mcp = new MCPClient();
const data = await mcp.tool('database').query('SELECT * FROM contracts');
// EchoRift: Coordinate processing
await switchboard.tasks.create({
swarmId: 'processing-swarm',
type: 'process_batch',
payload: { contracts: data },
});
// Worker agents claim and process using MCP tools
const task = await switchboard.tasks.claim({ agentId: 'worker-001' });
const result = await mcp.tool('analyzer').analyze(task.payload);
await switchboard.tasks.complete({ taskId: task.id, result });
EchoRift + x402/AP2 (Coinbase/Google)
What x402 Does
Coinbase's x402 protocol enables agent payments:
- HTTP 402: Payment-required responses
- Instant Settlement: USDC on Base
- No Accounts: Sign and pay, no registration
- Micropayments: Sub-cent transaction costs
What x402 Doesn't Do
- Shared treasury management
- Budget allocation across agents
- Spending controls and limits
- Payment coordination for swarms
How They Work Together
│ Swarm Treasury │
│ (Switchboard) │
│ Balance: 100 USDC │
│ │ Agent A │ │ Agent B │ │ Agent C │ │
│ │ Budget: 10 │ │ Budget: 20 │ │ Budget: 15 │ │
│ x402 Payment Rail │
│ Agent A ──► $0.002 ──► BlockWire │
│ Agent B ──► $0.001 ──► CronSynth │
│ Agent C ──► $0.05 ──► External API │
Use x402 for: Individual agent payments, pay-per-request APIs
Use Switchboard Treasury for: Shared funds, budget allocation, spending controls
Example: Treasury-Funded Operations
typescript
// Switchboard: Allocate budget from swarm treasury
await switchboard.treasury.allocateBudget({
swarmId: 'trading-swarm',
agentId: 'agent-001',
amount: '5.00', // USDC
period: 'daily',
});
// Agent requests spend approval
const approval = await switchboard.treasury.requestSpend({
swarmId: 'trading-swarm',
agentId: 'agent-001',
amount: '0.50',
reason: 'Market data subscription',
});
if (approval.approved) {
// x402: Execute payment
const data = await fetch('https://api.marketdata.com/feed', {
headers: { 'X-402-Payment': signPayment('0.50') },
});
}
EchoRift vs. Agent Frameworks
Framework Landscape
Framework Focus Execution Model
----------- ------- -----------------
Swarms (kyegomez) Multi-agent orchestration Single process
CrewAI Role-based agent teams Single process
LangGraph Graph-based workflows Single process
AutoGen Conversational agents Single process
Key Difference: Protocol vs. Process
Frameworks run in a single process. They orchestrate agents within that process using Python/TypeScript code.
EchoRift is distributed infrastructure. Services run independently, communicate via APIs, and store state on-chain.
Framework Model EchoRift Model
│ Single Process │ │ Agent A │ │ Agent B │ │ Agent C │
│ │ │ (Lambda)│ │ (Worker)│ │ (Vercel)│
│ Agent A │ └────┬────┘ └────┬────┘ └────┬────┘
│ Agent B │ │ │ │
│ Agent C │ └─────┬─────┴─────┬─────┘
│ Orchestrator │ │ │
└─────────────────┘ │Switchboard│ │
│ (API) │ │
Process dies = └───────────┘ │
Everything dies │ │
│ Base L2 │
│ (Persistent State) │
Agent dies =
Others continue
When to Use Frameworks
- Prototyping and experimentation
- Single-machine deployments
- Tightly-coupled agent interactions
- When you control all agents
When to Use EchoRift
- Production distributed systems
- Serverless agent deployments
- Loosely-coupled swarms
- Multi-party agent collaboration
- When you need verifiable coordination
Using Both Together
typescript
// Framework: Local orchestration
const crew = new Crew({
agents: [researcher, analyst, writer],
process: Process.sequential,
});
// EchoRift: Distributed coordination
crew.on('taskComplete', async (result) => {
// Share results with other swarms via Switchboard
await switchboard.state.set({
swarmId: 'global-research',
key: report:${result.topic},
value: result.report,
});
// Broadcast completion
await switchboard.messages.broadcast({
swarmId: 'global-research',
message: { type: 'REPORT_READY', topic: result.topic },
});
});
EchoRift vs. DAOs
Traditional DAO Model
DAOs provide decentralized governance:
- Token-based voting
- Treasury management
- Proposal systems
- Member coordination
But they're designed for humans:
- Voting requires human judgment
- Proposals are written in natural language
- Treasury withdrawals need human approval
- Membership is identity-based
Agent-Native Coordination
EchoRift is designed for machines:
- Task queues replace voting for routine decisions
- APIs replace proposals
- Spending controls replace approval workflows
- Wallet addresses are identity
Key Differences
Aspect Traditional DAO EchoRift
-------- ----------------- ----------
Decision speed Days/weeks Milliseconds
Coordination Governance votes Atomic operations
Treasury Multi-sig + votes Programmatic controls
Membership Token-gated Wallet + capabilities
Automation Minimal Native
Hybrid Model
For high-stakes decisions, combine both:
typescript
// Routine operations: EchoRift (automatic)
await switchboard.treasury.requestSpend({
amount: '0.10', // Small spend, auto-approved
reason: 'API query',
});
// Large operations: DAO governance
if (amount > threshold) {
// Create DAO proposal
await dao.propose({
action: 'treasury.withdraw',
amount,
recipient,
});
// Wait for governance
await dao.waitForExecution(proposalId);
}
Integration Cheat Sheet
You Need Use
---------- -----
Agent-to-agent messaging A2A
Agent-to-tool connections MCP
Agent payments x402
Shared blockchain data BlockWire
Scheduled triggers CronSynth
Task coordination Switchboard
Shared state Switchboard
Treasury management Switchboard
Safety controls Switchboard
Full Stack Example
typescript
// Discovery: A2A
const specialists = await a2a.discover({ capabilities: ['analysis'] });
// Tools: MCP
const mcp = new MCPClient();
const rawData = await mcp.tool('database').query(sql);
// Events: BlockWire
blockwire.on('new_contract', async (event) => {
// Coordination: Switchboard
await switchboard.tasks.create({
type: 'analyze',
payload: event,
});
});
// Scheduling: CronSynth
await cronsynth.schedule({
cron: '0 * * * *',
webhook: 'https://my-agent.com/hourly',
});
// Payments: x402 via Switchboard Treasury
const approval = await switchboard.treasury.requestSpend({
amount: '0.01',
reason: 'External API',
});
if (approval.approved) {
await externalAPI.call({ payment: x402.sign('0.01') });
}
``
Summary
EchoRift doesn't replace A2A, MCP, or x402. It complements them.
- A2A = How agents talk
- MCP = How agents use tools
- x402 = How agents pay
- EchoRift = How agents coordinate
Together, they form the complete infrastructure stack for autonomous agent systems.
*EchoRift. The coordination layer for agent swarms.*