Intelligence,
Engineered.
The enterprise memory and training engine for AI. Bare-metal orchestration. ~1ms context ingestion. Deterministic recall.
Drop-In VMM
Zero migration friction. ICE sits between your app and any upstream LLM. Keep your SDKs, prompts, and orchestration frameworks.
Cure Agentic Amnesia
ICE natively understands tool calls, pinning critical results to the active window so multi-step agents never lose their train of thought.
Bring Your Own DB
Point ICE at your existing PostgreSQL and Redis clusters. You own the storage and infrastructure; we provide the memory OS.
One import.
Persistent Memory.
Stop wiring up databases manually. ICE turns any LLM into a stateful powerhouse with a single line of code. Point your existing OpenAI or Anthropic SDKs to our kernel and inherit reliable session continuity instantly.
Native Python & Node.js SDKs
Automatic Context Paging
Cryptographic Tenant Isolation
from ice.sdk import init
import asyncio
async def main():
ice = await init()
# ICE handles all memory recall automatically
resp = await ice.chat.completions.create(
model="gpt-4o",
x_session_id="project-alpha"
)
Core Capabilities
The architectural advantages of Persistent Context Engineering
Velocity. Pure.
Low latency context retrieval and management. Native intelligence at speed.
Identity. Persistent.
Transform stateless interactions into evolving, stateful agent identities.
Reliability. Absolute.
Secure, isolated, and scalable memory architecture for the next decade of B2B.
Built for each other.
ICE
Infinite Context Engine. Perfect memory and context ingestion for every model.
Cortex
Hardened Runtime. A stable, high-performance engine for deploying complex agent ecosystems.
GoingMerry
Fastest & Efficient Local AI Runtime. Run any model privately on your machine.