Why MetaGPT Developers Need AgentGenome
MetaGPT creates multi-agent software development teams. AgentGenome profiles code quality patterns, architecture decisions, and collaboration behaviors—portable across any code-capable LLM.
Dev Agents Lack Code Quality Metrics
Your MetaGPT team writes code. But how good is it? Without profiling, code quality is subjective.
Architecture Decisions Are Opaque
Why did your agent choose microservices? RESTful APIs? AgentGenome captures architecture decision patterns.
Code Patterns Vary By LLM
GPT-4 writes different code than Claude. Can you maintain code quality standards across providers?
Dev Team Coordination Is Complex
Product Manager, Architect, Engineer, QA—each role has learned patterns. Can those patterns migrate together?
"Sound familiar?"
AgentGenome Solves Every Problem
Add 3 lines of code. Capture your agent's behavioral DNA. Deploy anywhere.
from metagpt.team import Team
from metagpt.roles import ProductManager, Architect, Engineer
from agentgenome import profile_team
team = Team()
team.hire([ProductManager(), Architect(), Engineer()])
@profile_team(genome_id="dev-team")
async def develop(requirement: str):
return await team.run(requirement)
# Dev team behaviors and code patterns 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.
Dev genomes work cross-LLM. Capture how your MetaGPT team codes, architects, and collaborates—deploy on any code-capable provider.
Your MetaGPT Agents Deserve Freedom
You've invested months optimizing MetaGPT 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 ChatDev, AutoGPT, GPT Engineer, or any provider.
- ✓Keep your optimizations. Zero rework.
- ✓95%+ behavioral consistency guaranteed.
- ✓Hours, not weeks. Included in Pro tier.
# Export dev team genome
from agentgenome import genome
# Capture code quality patterns
genome.export('dev-team.genome')
# Deploy on Claude for coding
genome.import_to('dev-team.genome', provider='anthropic')
# Same code quality, new LLMDeploy your MetaGPT genome on any supported provider:
Profile once. Deploy anywhere. Never locked in.
Build MetaGPT applications Once.
Deploy on Any LLM.
Dev genomes work cross-LLM. Capture how your MetaGPT team codes, architects, and collaborates—deploy on any code-capable provider.
Your Agent Genome
Behavioral DNA captured in universal format
Profile Your MetaGPT applications
Add 3 lines of code. Capture behavioral DNA automatically.
from metagpt.team import Team
from metagpt.roles import ProductManager, Architect, Engineer
from agentgenome import profile_team
team = Team()
team.hire([ProductManager(), Architect(), Engineer()])
@profile_team(genome_id="dev-team")
async def develop(requirement: str):
return await team.run(requirement)
# Dev team behaviors and code patterns capturedYour applications become substrate-independent
Profile today, deploy on any LLM tomorrow. Your optimizations travel with you.
Real Results with AgentGenome
How CodeFactory Made Dev Agents Portable
The Challenge
CodeFactory's MetaGPT dev team had learned optimal code patterns on GPT-4 over 8 months. When exploring Claude for its reasoning capabilities, they needed to preserve code quality standards.
The Solution
AgentGenome profiled code generation patterns, architecture decisions, and team collaboration. The dev genome was deployed on Claude 3.5.
"Eight months of learning good code patterns shouldn't disappear with a provider switch. Now they don't."
— Daniel Lee, CTO, CodeFactory
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 MetaGPT | 🔓 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
- MetaGPT 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 MetaGPT."
When MetaGPT raises prices or a better model launches, will you be ready to leave?
What You'll Achieve with AgentGenome
Real metrics from MetaGPT 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 MetaGPT?
Here's how to escape with your behavioral DNA intact
Profile Your Current Agent
Add 3 lines of code to capture your MetaGPT 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 MetaGPT.
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 MetaGPT 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 MetaGPT