Ship high-signal context to intelligent systems.
Context infrastructure for AI agents, orchestration, memory flows, and intelligent workflows. The backbone of next-generation agent architecture.
AI agents require structured context, deterministic routing, and dynamic memory to operate at scale. ContextShip provides the infrastructure.
Modern AI agents collapse without reliable context. ContextShip engineers the pipeline between knowledge, memory, and execution—delivering precisely the right context at precisely the right moment.
From retrieval-augmented generation to multi-step agent workflows, context is the critical infrastructure layer that determines whether AI systems produce coherent, actionable output.
Purpose-built primitives for routing context, coordinating agents, and maintaining state across distributed AI systems.
Intelligent memory routing that delivers contextually relevant information to agents based on task state, historical patterns, and semantic proximity. Zero-copy memory sharing across agent boundaries.
Composable execution pipelines that orchestrate multi-step agent workflows with built-in checkpointing, rollback, and deterministic replay. Define complex behaviors through declarative pipeline graphs.
Real-time bidirectional context streams that flow between agents, tools, and external systems. Supports backpressure, windowing, and adaptive rate limiting for production workloads.
Distributed consensus protocols for multi-agent systems. Coordinate shared state, resolve conflicts, and maintain coherence across hundreds of concurrent agent instances.
First-class developer experience with SDKs, APIs, and tooling designed for building production-grade context infrastructure.
Type-safe SDK for defining, routing, and managing context across your AI stack. Works with any LLM provider.
import { ContextPipeline } from '@contextship/sdk'
Persistent memory layer with vector indexing, temporal queries, and automatic garbage collection for stale context.
const memory = new MemoryEngine({ ttl: '24h' })
Open protocol for agent-to-agent communication with built-in context negotiation and capability discovery.
agent.connect({ protocol: 'contextship/v2' })
Real-time stream processing for context events with exactly-once delivery semantics and sub-millisecond latency.
stream.pipe(transform).sink(agent)
Full-stack observability for context flows. Trace every token, measure retrieval quality, and debug agent decisions.
ctx.trace({ spans: true, metrics: true })
Edge-native deployment with automatic geo-routing. Run context infrastructure wherever your agents execute.
contextship deploy --region=global
Visualize how context moves through your agent architecture—from ingestion to memory to execution.
ContextShip.com is available for acquisition. Own the defining brand for AI context infrastructure.
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