Know exactly what your AI agents are doing — and why

Observability, memory, and control for AI agents in production. Open source infrastructure for teams that need to trust what their agents are doing.

Features

What we do?

Memory

Memory

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

Observability

Observability

Full trace of tool calls, reasoning steps, and context used. Covers auditability, explainability, and transparency — one word 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
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 ↗

Supported by

Creative Destruction Lab
OASIS
Early Access

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Make your agent production ready

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.