AgentGenome for Gemini Users
Profile Your Gemini Agents. Port Multi-Modal Intelligence.
Capture multi-modal behavioral patterns in universal genomes
2,000+ developers • Portable across 12+ LLMs • No credit card required
Why Gemini Users Need AgentGenome
Gemini's multi-modal capabilities create complex behavioral patterns. AgentGenome captures these patterns so you can maintain consistency across providers—or have a backup when Google changes things.
Multi-Modal Complexity Goes Unmeasured
Gemini handles text, images, and code differently. Without profiling, you have no visibility into how these modalities interact in your agent.
Google Ecosystem Lock-In Deepens
The more you build on Gemini, the deeper you're locked into Google Cloud. AgentGenome gives you portable behavioral profiles to escape if needed.
Model Updates Can Break Multi-Modal Flows
When Google updates Gemini, your carefully tuned multi-modal behaviors might shift. AgentGenome detects drift before it reaches production.
Better Vision or Code Models Launch Regularly
Specialized vision or code LLMs might outperform Gemini in specific modalities. Can you selectively migrate without rebuilding everything?
"Sound familiar?"
AgentGenome Solves Every Problem
Add 3 lines of code. Capture your agent's behavioral DNA. Deploy anywhere.
import google.generativeai as genai
from agentgenome import profile
genai.configure(api_key='YOUR_KEY')
model = genai.GenerativeModel('gemini-1.5-pro')
@profile(genome_id="multimodal-analyzer")
def analyze_content(text: str, image=None):
if image:
response = model.generate_content([text, image])
else:
response = model.generate_content(text)
return response.text
# Multi-modal behaviors 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.
Port multi-modal patterns cross-provider. Capture how your Gemini agent handles different modalities and apply those patterns anywhere.
Your Gemini Agents Deserve Freedom
You've invested months optimizing Gemini 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 GPT-4V, Claude 3, Llama Vision, or any provider.
- ✓Keep your optimizations. Zero rework.
- ✓95%+ behavioral consistency guaranteed.
- ✓Hours, not weeks. Included in Pro tier.
# Export multi-modal behavioral genome
from agentgenome import genome
# Capture Gemini's multi-modal patterns
genome.export('multimodal-analyzer.genome')
# Deploy on GPT-4V for vision tasks
genome.import_to('multimodal-analyzer.genome', provider='openai')
# Or split modalities across specialized providersDeploy your Gemini genome on any supported provider:
Profile once. Deploy anywhere. Never locked in.
Build Gemini agents Once.
Deploy on Any LLM.
Port multi-modal patterns cross-provider. Capture how your Gemini agent handles different modalities and apply those patterns anywhere.
Your Agent Genome
Behavioral DNA captured in universal format
Profile Your Gemini agents
Add 3 lines of code. Capture behavioral DNA automatically.
import google.generativeai as genai
from agentgenome import profile
genai.configure(api_key='YOUR_KEY')
model = genai.GenerativeModel('gemini-1.5-pro')
@profile(genome_id="multimodal-analyzer")
def analyze_content(text: str, image=None):
if image:
response = model.generate_content([text, image])
else:
response = model.generate_content(text)
return response.text
# Multi-modal behaviors captured automaticallyYour agents become substrate-independent
Profile today, deploy on any LLM tomorrow. Your optimizations travel with you.
Real Results with AgentGenome
How VisualDocs Made Multi-Modal Behaviors Portable
The Challenge
VisualDocs' document analysis agent used Gemini's multi-modal capabilities to process text, images, and tables together. When a specialized document LLM launched with better table extraction, they needed to migrate without losing their carefully tuned multi-modal coordination.
The Solution
AgentGenome profiled Gemini's multi-modal behaviors—how different content types were weighted, combined, and synthesized. This genome enabled hybrid deployment across providers.
"We kept Gemini for what it does best and added specialized models where they excel. One genome coordinates everything."
— Michael Torres, VP Engineering, VisualDocs
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 Gemini | 🔓 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
- Gemini 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 Gemini."
When Gemini raises prices or a better model launches, will you be ready to leave?
What You'll Achieve with AgentGenome
Real metrics from Gemini 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 Gemini?
Here's how to escape with your behavioral DNA intact
Profile Your Current Agent
Add 3 lines of code to capture your Gemini 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 Gemini.
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 Gemini users 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 Gemini