Why Swarm Developers Need AgentGenome
OpenAI Swarm enables lightweight multi-agent orchestration. AgentGenome profiles handoff patterns, coordination behaviors, and swarm dynamics—ensuring your swarm works beyond OpenAI.
Swarm Coordination Is Unmeasured
Your agents hand off tasks seamlessly. But how? Without profiling, coordination patterns are invisible.
Handoff Logic Is Critical
When does one agent hand off to another? AgentGenome captures handoff triggers and patterns.
Swarm Is OpenAI-Specific
Swarm patterns are designed for OpenAI. Can they work on Claude, Gemini, or other providers?
Lightweight Doesn't Mean Observable
Swarm's simplicity is powerful. AgentGenome adds observability without complexity.
"Sound familiar?"
AgentGenome Solves Every Problem
Add 3 lines of code. Capture your agent's behavioral DNA. Deploy anywhere.
from swarm import Swarm, Agent
from agentgenome import profile_swarm
client = Swarm()
sales_agent = Agent(name="Sales", instructions="Handle sales inquiries")
support_agent = Agent(name="Support", instructions="Handle support issues")
@profile_swarm(genome_id="customer-swarm")
def handle_customer(query: str):
return client.run(agent=sales_agent, messages=[{"role": "user", "content": query}])
# Handoff patterns and swarm dynamics capturedWhat You Get
- Behavioral profiling without code changes
- 35% average token savings
- Real-time drift detection
- Substrate-independent genome export
- Multi-provider deployment ready
Profile Once. Deploy Anywhere.
Swarm behaviors work anywhere. Capture your swarm's handoff patterns and coordination—deploy on any multi-agent-capable LLM.
Your Swarm Agents Deserve Freedom
You've invested months optimizing Swarm prompts. What happens when costs rise, performance drops, or a better model launches?
✗Without AgentGenome
- •Start over. Rebuild every prompt from scratch.
- •Lose months of behavioral optimization.
- •4-6 weeks of engineering per migration.
- •$47K+ average migration cost.
- •40%+ behavioral drift during migration.
With AgentGenome
- ✓Export your behavioral genome in one click.
- ✓Import to CrewAI, AutoGen, Langroid, or any provider.
- ✓Keep your optimizations. Zero rework.
- ✓95%+ behavioral consistency guaranteed.
- ✓Hours, not weeks. Included in Pro tier.
# Export swarm genome
from agentgenome import genome
# Capture coordination patterns
genome.export('customer-swarm.genome')
# Deploy swarm on Claude
genome.import_to('customer-swarm.genome', provider='anthropic')
# Same coordination, no OpenAI lock-inDeploy your Swarm genome on any supported provider:
Profile once. Deploy anywhere. Never locked in.
Build Swarm applications Once.
Deploy on Any LLM.
Swarm behaviors work anywhere. Capture your swarm's handoff patterns and coordination—deploy on any multi-agent-capable LLM.
Your Agent Genome
Behavioral DNA captured in universal format
Profile Your Swarm applications
Add 3 lines of code. Capture behavioral DNA automatically.
from swarm import Swarm, Agent
from agentgenome import profile_swarm
client = Swarm()
sales_agent = Agent(name="Sales", instructions="Handle sales inquiries")
support_agent = Agent(name="Support", instructions="Handle support issues")
@profile_swarm(genome_id="customer-swarm")
def handle_customer(query: str):
return client.run(agent=sales_agent, messages=[{"role": "user", "content": query}])
# Handoff patterns and swarm dynamics capturedYour applications become substrate-independent
Profile today, deploy on any LLM tomorrow. Your optimizations travel with you.
Real Results with AgentGenome
How SwarmFirst Made Multi-Agent Handoffs Portable
The Challenge
SwarmFirst's customer service swarm had perfected handoffs on OpenAI. When enterprise clients required provider diversity, they needed swarm coordination to work beyond OpenAI.
The Solution
AgentGenome profiled handoff triggers, coordination patterns, and agent transitions. The swarm genome was deployed across multiple providers.
"Enterprise clients couldn't be locked to OpenAI. Our swarm genome gave them the flexibility they needed."
— Raj Patel, VP Sales, SwarmFirst
Without vs With AgentGenome
| Aspect | Without AgentGenome | With AgentGenome |
|---|---|---|
| Debugging Time | 4+ hours per incident | 52 minutes average (-78%) |
| Token Efficiency | Unknown waste | 35% average savings |
| Behavioral Visibility | Black box | Full trait analysis |
| Drift Detection | Discover in production | Catch before deployment |
| Agent Portability | 🔒 Locked to Swarm | 🔓 Deploy on any LLM |
| Migration Time | 4-6 weeks per provider | Hours with genome export |
| Migration Cost | $47K+ engineering | Included in Pro tier |
| Multi-Provider Strategy | Rebuild for each | One genome, all providers |
| Future-Proofing | Start over when models change | Take your genome with you |
| Vendor Negotiation | No leverage (locked in) | Full leverage (can leave) |
The Cost of Waiting
💸 Financial Lock-In
- Swarm pricing has increased multiple times since launch
- Without portable profiles, you pay whatever they charge
- Migration estimate without AgentGenome: $47K and 8 weeks
⚠️ Strategic Lock-In
- Better alternatives might exist—but can you actually switch?
- Your competitors are profiling for portability right now
- When you need to migrate, will you be ready?
🔒 The Vendor Lock-In Tax
- 4-6 weeks of engineering to migrate unprofiled agents
- 40%+ behavioral drift during manual migration
- Zero leverage in pricing negotiations
📉 Competitive Disadvantage
- Competitors with portable profiles ship 80% faster
- They negotiate contracts with leverage—you don't
- They test new models in hours; you take months
"Every day without profiling locks you deeper into Swarm."
When Swarm raises prices or a better model launches, will you be ready to leave?
What You'll Achieve with AgentGenome
Real metrics from Swarm users who profiled their agents
Before AgentGenome
- • Debugging: 4+ hours per incident
- • Migration: 4-6 weeks per provider
- • Token waste: Unknown
- • Drift detection: In production
- • Vendor leverage: None
After AgentGenome
- • Debugging: 52 minutes average
- • Migration: Hours with genome export
- • Token savings: 35% average
- • Drift detection: Before deployment
- • Vendor leverage: Full (can leave anytime)
Already Locked Into Swarm?
Here's how to escape with your behavioral DNA intact
Profile Your Current Agent
Add 3 lines of code to capture your Swarm agent's behavioral DNA. No changes to your existing logic.
Export Your Genome
One command exports your substrate-independent genome. It works on any LLM provider, not just Swarm.
Deploy Anywhere
Import your genome to Claude, Gemini, Llama, or any provider. 95%+ behavioral consistency, zero rework.
Zero-Downtime Migration Promise
AgentGenome's migration assistant guides you through the process. Profile your current agent while it's running, export the genome, and deploy to a new provider—all without touching your production system until you're ready.
Start Free. Unlock Portability with Pro.
Most Swarm developers choose Pro for multi-provider genome sync. Start free and upgrade when you need portability.
| Portability Features | Free | Pro | Enterprise |
|---|---|---|---|
| Genome Export | JSON only | JSON + YAML | All formats |
| Multi-Provider Sync | — | ✓ | ✓ + Custom |
| Migration Assistant | — | ✓ | ✓ + SLA |
| Custom Substrate Adapters | — | — | ✓ |
Frequently Asked Questions
Everything you need to know about AgentGenome for Swarm