Know exactly what your AI agents are doingΒ β€” and why

Context engineering for AI agents in production. Open source infrastructure for teams that need context that persists, adapts, and stays reliable.

Features

What we do?

Context

Context

Persistent, portable context. Enables hyper-personalization (agents that remember every user) without agents starting from scratch.

Trace

Trace

Full trace of tool calls, reasoning steps, and context used. Covers auditability, explainability, and transparency β€” one integration does the job.

Control

Control

Set guardrails before agents run, not after they break. Policy enforcement and pre-deploy validation built into the execution loop.

Why Us

Why Ekai?

Without Ekai
With Ekai
Agent decision visibility
Blackbox
Full trace
Memory across runs & users
✘
βœ”
Error prevention
After failure
Before failure
Context portability
Locked to one provider
Portable across providers

Ekai Featured in Forbes

Why Portable AI memory matters

Read article β†—

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Creative Destruction Lab
OASIS
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FAQs

Got questions?

Ekai is infrastructure for running AI agents in production. It provides persistent memory, controlled execution, and full observability inside the agent loop.

Ekai connects to your current models, tools, and workflows without replacing them. It sits in the execution path to capture context, enforce policies, and monitor every run.

Your data stays within your infrastructure or approved environment. Ekai is designed for full ownership, auditability, and enterprise security requirements.

Teams usually start with a small pilot on one workflow. After validation, Ekai expands across agents, environments, and production systems in stages.