agentome 0.1.0b1

Genome-based context compression for AI agents — thin wrapper around Helix Context

Agentome

Genome-based context compression for AI agents.

Agentome is a framework for treating AI agent context like a biological genome — compressing, storing, and selectively expressing knowledge instead of stuffing raw text into context windows.

This package is a thin wrapper around Helix Context, the reference implementation.

Install

pip install agentome

This installs helix-context as a dependency and re-exports its entire public API.

Quick Start

from agentome import AgentomeManager, load_config

config = load_config()
manager = AgentomeManager(config)

# Ingest content into the genome
manager.ingest("Your codebase documentation here")

# Query compressed context (7x smaller than raw files)
window = manager.build_context("How does auth work?")
print(window.expressed_context)
print(window.context_health.status)  # aligned | sparse | denatured

# Learn from exchanges (automatic replication)
manager.learn("How does auth work?", "JWT middleware validates tokens...")

What is an Agentome?

An Agentome is the complete set of compressed, structured knowledge that an AI agent carries as persistent memory. Like a biological genome:

• Genes store compressed knowledge units (code, docs, conversations)
• Promoter tags enable fast retrieval by topic
• Chromatin state controls accessibility (fresh vs stale)
• Co-activation builds associative memory over time
• Replication grows the genome from every conversation

The concept is described in the research paper: The Agentome

Agentome vs Helix Context

	Agentome	Helix Context
What	The concept/framework	The implementation
Analogy	"Genome"	"Human Genome Project"
Package	pip install agentome	pip install helix-context
API	Re-exports Helix Context	The actual engine

Full Documentation

See the Helix Context README for complete documentation including:

• 6-step expression pipeline
• Delta-epsilon health monitoring
• Horizontal Gene Transfer (genome export/import)
• Claude Code skill integration
• Continue IDE integration
• ScoreRift divergence detection bridge

License

Apache 2.0