Memory for every intelligence

One shared memory for you, your AI agents, and your robots. Capture everything, recall anything, stay in control.

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Working Memory

Live
ACTIVE TASKS
BACKGROUND TASKS

How it works

From raw activity to intelligent memory

Everything you experience, every conversation your agents have, every sensor reading from your robots — Ziada captures it, filters the noise, and builds memory that all of them share.

1

Capture

Desktop activity, speech, quick facts, cloud accounts, agent conversations, robot sensors — all feeding one pipeline.

2

Process

Sensory memory filters 80% of noise. Working memory organizes what matters. Long-term memory stores it permanently.

3

Recall

Ask anything, get answers with context. Every intelligence you operate draws from the same shared memory.

For humans

Your memory, amplified

You context-switch constantly and lose track. Ziada captures what you experience and gives you perfect recall — on your phone, your desktop, and the web.

human-memory.pen visual goes here — inputs (desktop, speech, facts, cloud, chrome) → Ziada → outputs (working memory, long-term retrieval, chat)

For AI agents

Your agents forget everything. Ziada fixes that

Every session starts from zero. The context window is their only memory, and it vanishes when the conversation ends. Ziada gives agents persistent, shared memory through a simple API.

Coming soon

agent-memory.pen visual goes here — code editor with AI conversation, tool calls, file diffs → memory forming → agent querying Ziada via MCP

For robots

Robots need memory too. Ziada gives them one

Robots generate rich sensory data but have nowhere meaningful to store it. Ziada gives them episodic, semantic, and procedural memory — and connects it to everything you and your agents already know.

Future vision

robot-memory.pen visual goes here — robot with sensor inputs (vision, audio, proprioception, tactile) → memory → episodic / semantic / procedural retrieval

The memory pipeline

Biologically inspired, computationally efficient

Raw input flows through a three-tier pipeline modeled after how human memory actually works. Most noise is discarded. What survives becomes permanent, retrievable knowledge.

memory-pipeline.pen visual goes here — sensory (filter 80%) → working (L1 active + L2 background) → long-term (episodic, semantic, procedural)

Early access

Give every intelligence you operate a shared memory

Ziada is in private beta. Join the waitlist to get early access and shape the future of personal AI memory.