Why CrewAI Developers Need AgentGenome
CrewAI makes multi-agent collaboration easy. AgentGenome captures crew dynamics so your entire team can migrate together—same coordination, any LLM.
Multi-Agent Coordination Is Invisible
Your 5-agent crew collaborates beautifully. But why? Without profiling, crew dynamics are a black box.
Crew Optimization Is Trial and Error
Adjusting roles, tasks, or agent order is guesswork. AgentGenome shows which changes actually improve crew performance.
Switching LLMs Breaks Crew Chemistry
Your crew learned to collaborate on GPT-4. Move to Claude and coordination patterns might break.
Migrating Crews Takes Months
Industry estimate: 3 weeks per agent × 5 agents = 15 weeks. AgentGenome migrates entire crews in hours.
"Sound familiar?"
AgentGenome Solves Every Problem
Add 3 lines of code. Capture your agent's behavioral DNA. Deploy anywhere.
from crewai import Crew, Agent, Task
from agentgenome import profile_crew
researcher = Agent(role="Researcher", goal="Find information")
writer = Agent(role="Writer", goal="Create content")
reviewer = Agent(role="Reviewer", goal="Ensure quality")
crew = Crew(
agents=[researcher, writer, reviewer],
tasks=[research_task, write_task, review_task]
)
@profile_crew(genome_id="content-crew")
def run_crew(topic: str):
return crew.kickoff({"topic": topic})
# Crew coordination captured automaticallyWhat 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.
Migrate crews to any substrate. Capture how your agents work together—role dynamics, task handoffs, communication patterns—and deploy on any LLM.
Your CrewAI Agents Deserve Freedom
You've invested months optimizing CrewAI 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 AutoGen, MetaGPT, SuperAGI, or any provider.
- ✓Keep your optimizations. Zero rework.
- ✓95%+ behavioral consistency guaranteed.
- ✓Hours, not weeks. Included in Pro tier.
# Export entire crew genome
from agentgenome import genome
# Capture crew coordination patterns
genome.export('content-crew.genome')
# Deploy crew on Claude
genome.import_to('content-crew.genome', provider='anthropic')
# Same crew chemistry, new substrateDeploy your CrewAI genome on any supported provider:
Profile once. Deploy anywhere. Never locked in.
Build CrewAI applications Once.
Deploy on Any LLM.
Migrate crews to any substrate. Capture how your agents work together—role dynamics, task handoffs, communication patterns—and deploy on any LLM.
Your Agent Genome
Behavioral DNA captured in universal format
Profile Your CrewAI applications
Add 3 lines of code. Capture behavioral DNA automatically.
from crewai import Crew, Agent, Task
from agentgenome import profile_crew
researcher = Agent(role="Researcher", goal="Find information")
writer = Agent(role="Writer", goal="Create content")
reviewer = Agent(role="Reviewer", goal="Ensure quality")
crew = Crew(
agents=[researcher, writer, reviewer],
tasks=[research_task, write_task, review_task]
)
@profile_crew(genome_id="content-crew")
def run_crew(topic: str):
return crew.kickoff({"topic": topic})
# Crew coordination captured automaticallyYour applications become substrate-independent
Profile today, deploy on any LLM tomorrow. Your optimizations travel with you.
Real Results with AgentGenome
How ContentLab Migrated a 5-Agent Crew in 48 Hours
The Challenge
ContentLab's content creation crew (Researcher, Writer, Reviewer, Editor, Publisher) was built on GPT-4. When costs doubled, they needed Claude—but crew coordination patterns were GPT-specific. Manual migration estimate: 15 weeks.
The Solution
AgentGenome profiled each agent's role behaviors and inter-agent communication, capturing the crew coordination genome. The entire crew was deployed to Claude 3.5.
"We didn't migrate 5 agents. We migrated one crew genome. Two days, not four months."
— Jordan Hayes, VP Engineering, ContentLab
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 CrewAI | 🔓 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
- CrewAI 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 CrewAI."
When CrewAI raises prices or a better model launches, will you be ready to leave?
What You'll Achieve with AgentGenome
Real metrics from CrewAI 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 CrewAI?
Here's how to escape with your behavioral DNA intact
Profile Your Current Agent
Add 3 lines of code to capture your CrewAI 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 CrewAI.
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 CrewAI 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 CrewAI