Your agent's personality is a hardcoded string

Stop Prompt Engineering.
Start Genome Seeding.

Hardcoded prompts are fragile, unverifiable, and stuck on one LLM.Agent Genome gives your agent cryptographic DNA that evolves and ports anywhere.

seed.py
1from agentgenome import seed
2
3genome = seed("support-agent", {
4 "patience": 0.9,
5 "empathy": 0.85
6})
7
8# Returns: genome.entropy_proof = "sha256:7f2e9c..."
9# Works on GPT-4, Claude, Llama, Gemini—any LLM
The Problem

Prompt Engineering is a Dead End

You've been managing AI behavior with strings. Here's why that doesn't scale.

The Old Way

Hardcoded prompts, system messages, YAML configs

Hardcoded Strings

System prompts buried in code, impossible to version

No Verification

No way to prove your agent behaves as intended

Copy-Paste Drift

Prompts mutate as they move between environments

Vendor Lock-in

Rewrite everything when you switch LLMs

No Observability

Can't track how behavior changes over time

Static Forever

Manual prompt tweaking for every improvement

# config.py (the old way)

SYSTEM_PROMPT = """You are a helpful
assistant. Be concise and friendly.
"""
# Good luck switching to Claude...

Agent Genome

Cryptographic behavioral DNA

Signed Manifest

Cryptographically signed .rna file, tamper-proof

Entropy Proof

SHA-256 proof verifies exact behavioral state

Portable Across LLMs

Same genome works on GPT-4, Claude, Llama, Gemini

Verifiable Identity

Mathematically prove your agent is who it claims

Drift Detection

Real-time alerts when behavior deviates

Auto Evolution

Genome adapts to KPIs without manual rewrites

# genome.rna (the new way)

entropy_proof: "sha256:7f2e9c..."
baseline: { patience: 0.9, empathy: 0.85 }
portable: true  # GPT, Claude, Llama, Gemini
5-Minute Migration

Replace Your Prompts in 3 Lines

No architecture changes. Drop in and go.

migrate.py
# Before: hardcoded prompt (fragile)
SYSTEM_PROMPT = "You are helpful..."
# After: portable genome (3 lines)
from agentgenome import seed
genome = seed("my-agent", {"helpful": 0.9})
llm.chat(genome.prompt_prefix + user_message)
How It Works

4 Steps to Portable AI Identity

01

Seed

Define behavioral traits as numbers. patience: 0.9, curiosity: 0.7. No prompt engineering.

02

Sign

Get a cryptographic entropy_proof. SHA-256 hash locks the behavioral state.

03

Deploy

Use genome.prompt_prefix with any LLM. GPT-4, Claude, Llama, Gemini—same genome.

04

Evolve

Genome adapts to your KPIs automatically. No manual prompt rewrites.

Pricing

Simple, Predictable Pricing

Start free. Scale when you're ready.

Free

For experimentation

$0
  • 1,000 API calls/month
  • 3 genomes
  • Community support
Most Popular

Pro

For production agents

$49/month
  • 100,000 API calls/month
  • Unlimited genomes
  • Evolution engine
  • Drift alerts
  • Priority support

Enterprise

For fleet management

Custom
  • Unlimited API calls
  • SSO & RBAC
  • SLA guarantee
  • Dedicated support
  • Custom integrations

Your Agent Deserves Better Than a String

Stop managing prompts. Start managing identity.

pip install agentgenome