Continuity.
Within reach.
The enterprise memory and training engine for AI. Bare-metal orchestration. ~1ms context ingestion. Deterministic recall.
Pipelines.
Orchestrate your complex Data Engineering pipelines. Seamlessly ingest, chunk, and manage raw datasets under secure tenant boundaries.
Bare-Metal.
Bare-metal speed. Compile and execute with hardware-optimized binary kernels, enabling ingestion within ~1ms, 228x memory efficiency, and extremely high-concurrency model training.
Inference.
Stateful inference. Natively govern active model state, ensuring zero token window leakage and persistent memory recall across thousands of concurrent steps.
Persistent Memory.
Reliable Recall.
Standard LLMs forget everything once the context window fills up. ICE creates a permanent, searchable memory fabric tied to a Session ID.
ICE Response: "Based on our previous discussion in May, your preferred region is us-east-1."
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 initimport 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" )What ICE handles under the hood.
Zero migration friction. 100% API compatible. Just change your base URL and keep your existing orchestration frameworks.
Cures Agentic Amnesia
ICE natively understands tool calls. It pins critical, recent tool-results to the active window and safely archives older steps. Agents never lose their train of thought.
BYODB (Bring Your Own Database)
Point ICE at your existing PostgreSQL (pgvector) and Redis clusters. You own the storage and infrastructure; we just provide the memory OS.
Precision Paging
No dumb summarization. ICE dynamically pages raw, high-signal context into the prompt exactly when needed, keeping physical token count ruthlessly low.
Kernel-Level Multi-Tenancy
Isolation isn't an app-level afterthought. ICE enforces multi-tenancy at the database layer via PostgreSQL Row-Level Security (RLS).
Sovereign / VPC Deployment
Built for regulated enterprises where your data and memory state cannot leave your own boundary. Cross-tenant leakage is prevented via kernel-level isolation.
Seamless Integration.
Deploy ICE exactly how your stack demands. Compiled for maximum performance.
ICE for Node.js
Pre-compiled package for JS/TS agents.
ICE for Python
Compiled SDK for AI engineering and LangChain.
Flexible Licensing for Every Scale
Choose the deployment model that fits your scaling needs. From individual developers to full enterprise sovereign exclusivity.
🧊 Community Edition
Free memory stack for any AI software. A fully unrestricted, robust, open-source memory engine for developers worldwide.
- Fully Open Source (ICE OS)
- Uncapped, unrestricted node deployments
- Uncapped concurrent sessions and data streams
- Free integration with any AI software and SDKs
🛡️ Enterprise Edition
High-performance regulatory, compliance, and training toolkit optimized for Data Science, Data Engineering, and production workloads.
- Atomic Provenance (ICE Audit): Cryptographically signed GPU token-traces for auditability
- Zero-Leak Training (ICE Guard): GPU memory-level sentinel blocking unauthorized data threads
- Optimized Compiler: Compile PyTorch/TensorFlow graph structures into hardware-optimized binary states
- Dedicated SLAs & 24/7/365 production architecture support
Built for Production.
If you are shipping persistent enterprise copilots or multi-tenant AI products, stop rebuilding brittle Postgres/Redis memory workarounds. Drop ICE into your stack today.