Agents That
Remember.
Context Engine is the persistent memory backbone for autonomous agents. Cross-session continuity, cross-platform awareness — the intelligent infrastructure that lets your agents learn, adapt, and evolve.
Built by Island Development Crew LLC — engineering the foundational layer of the agent economy.
The Memory Layer
Your Agents Deserve
Category-defining infrastructure designed for the next generation of autonomous systems. Not bolt-on — built from the ground up for agent workloads.
Cross-Session Persistence
Every conversation, decision, and learned behavior is encoded, compressed, and persisted across agent sessions. Your agents don't start from zero — they start from where they left off, with full context integrity.
Cross-Platform Continuity
Deploy the same agent across cloud, edge, mobile, or embedded systems. Context Engine maintains a unified memory layer that travels with your agents — platform-agnostic, environment-aware, always coherent.
Adaptive Memory Weighting
Not all memories are equal. Context Engine applies intelligent weighting algorithms — recency, relevance, and frequency signals — to surface the right context at the right moment, without overwhelming the agent's active window.
Tiered Memory Architecture
Active working memory, intermediate episodic storage, and deep semantic archives — all managed automatically. Context Engine intelligently promotes and demotes memories based on access patterns and agent behavior signals.
Vector-Native Storage
Under the hood, every memory is encoded as high-dimensional vectors. Retrieval happens through semantic similarity — agents recall not just exact facts, but conceptually related context, enabling truly intelligent recall.
Real-Time Sync & Replication
Memory writes propagate in sub-5ms across your agent fleet. Multi-region replication ensures that whether your agents are running in us-east or ap-southeast, they share a coherent, consistent view of the world.
Built for Production Scale
A layered, composable architecture designed to handle millions of memory operations per second without compromising on consistency or retrieval precision.
Three Types of Agent Memory
Inspired by cognitive science. Engineered for scale. Context Engine implements the complete memory taxonomy that autonomous agents need to truly learn and evolve.
Episodic Memory
Episodic memory captures the temporal narrative of an agent's experience — sequences of events, interactions, and outcomes, indexed by time and context. When an agent needs to recall 'what happened during session 47 with user X', episodic memory answers.
Stored as time-ordered event graphs with context embeddings. Supports temporal range queries, session boundary detection, and causal chain traversal.
Simple API. Infinite Memory.
Three lines to give your agent memory. A full SDK for when you need fine-grained control. Designed for engineers building next-generation autonomous systems.
import { ContextEngine } from '@idc/context-engine';
// Initialize client
const ce = new ContextEngine({
agentId: 'my-agent-v2',
apiKey: process.env.CE_API_KEY!,
});
// Write episodic memory
await ce.memory.write({
type: 'episodic',
content: 'User prefers concise responses',
metadata: { session: 's_8x9z', weight: 0.92 },
});
// Query with semantic search
const ctx = await ce.memory.query({
query: 'user communication preferences',
topK: 5,
memoryTypes: ['episodic', 'semantic'],
});
// Use in agent loop
for (const memory of ctx.results) {
console.log(memory.content, memory.relevanceScore);
}Give Your Agents
Memory.
Context Engine is entering closed beta. We're onboarding a select group of infrastructure engineers and autonomous system builders first. Request API access below.