AgentGenome for AutoGPT Developers
Profile AutoGPT Agents. Safe Autonomy on Any Substrate.
Autonomous behaviors with safety guarantees that travel
2,000+ developers • Portable across 12+ LLMs • No credit card required
Why AutoGPT Developers Need AgentGenome
AutoGPT enables autonomous agents that work independently. AgentGenome profiles safety boundaries and task patterns—ensuring autonomous behaviors are safe and portable across any LLM.
Autonomous Agents Mean Autonomous Failures
AutoGPT agents work without supervision. Without profiling, you can't predict or prevent unsafe autonomous actions.
Safety Boundaries Need Documentation
What will your autonomous agent do? What won't it do? AgentGenome documents boundaries for compliance and safety review.
Autonomy Patterns Are LLM-Specific
Your agent's autonomous decision-making works on GPT-4. Different LLMs might make different decisions.
Testing Autonomous Behavior Is Hard
How do you test what an autonomous agent might do? AgentGenome creates behavioral baselines for comprehensive testing.
"Sound familiar?"
AgentGenome Solves Every Problem
Add 3 lines of code. Capture your agent's behavioral DNA. Deploy anywhere.
from autogpt.agents import Agent
from autogpt.config import Config
from agentgenome import profile_autonomous
config = Config()
agent = Agent(config)
@profile_autonomous(genome_id="task-agent")
def run_task(goal: str):
return agent.run(goal, max_iterations=20)
# Autonomous behaviors and safety boundaries 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.
Safe autonomy across substrates. Capture your AutoGPT agent's boundaries, decision patterns, and safety behaviors—deploy them on any LLM with confidence.
Your AutoGPT Agents Deserve Freedom
You've invested months optimizing AutoGPT 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 BabyAGI, SuperAGI, AgentGPT, or any provider.
- ✓Keep your optimizations. Zero rework.
- ✓95%+ behavioral consistency guaranteed.
- ✓Hours, not weeks. Included in Pro tier.
# Export autonomous agent genome
from agentgenome import genome
# Capture safety boundaries and decision patterns
genome.export('task-agent.genome')
# Deploy autonomy safely on Claude
genome.import_to('task-agent.genome', provider='anthropic')
# Same safety boundaries, new substrateDeploy your AutoGPT genome on any supported provider:
Profile once. Deploy anywhere. Never locked in.
Build AutoGPT applications Once.
Deploy on Any LLM.
Safe autonomy across substrates. Capture your AutoGPT agent's boundaries, decision patterns, and safety behaviors—deploy them on any LLM with confidence.
Your Agent Genome
Behavioral DNA captured in universal format
Profile Your AutoGPT applications
Add 3 lines of code. Capture behavioral DNA automatically.
from autogpt.agents import Agent
from autogpt.config import Config
from agentgenome import profile_autonomous
config = Config()
agent = Agent(config)
@profile_autonomous(genome_id="task-agent")
def run_task(goal: str):
return agent.run(goal, max_iterations=20)
# Autonomous behaviors and safety boundaries capturedYour applications become substrate-independent
Profile today, deploy on any LLM tomorrow. Your optimizations travel with you.
Real Results with AgentGenome
How TaskMaster Made Autonomous Agents Enterprise-Safe
The Challenge
TaskMaster's autonomous task completion agent was too risky for enterprise deployment. Without behavioral documentation, security teams couldn't approve autonomous AI in production environments.
The Solution
AgentGenome profiled all autonomous behaviors—decision boundaries, action limits, safety triggers. This documentation satisfied security review and enabled multi-provider deployment.
"Security couldn't approve "autonomous AI" without knowing what it might do. Now we can show them."
— Chris Anderson, CEO, TaskMaster
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 AutoGPT | 🔓 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
- AutoGPT 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 AutoGPT."
When AutoGPT raises prices or a better model launches, will you be ready to leave?
What You'll Achieve with AgentGenome
Real metrics from AutoGPT 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 AutoGPT?
Here's how to escape with your behavioral DNA intact
Profile Your Current Agent
Add 3 lines of code to capture your AutoGPT 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 AutoGPT.
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 AutoGPT 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 AutoGPT