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.
What we do?

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

Observability
Full trace of tool calls, reasoning steps, and context used. Covers auditability, explainability, and transparency — one word does the job.

Control
Set guardrails before agents run, not after they break. Policy enforcement and pre-deploy validation built into the execution loop.
Why Ekai?
Ekai Featured in Forbes
Why Portable AI memory matters
Supported by
Join our early design partners
Make your agent production ready
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.