Memori

Agents that learn from their mistakes

Agents that learn from their mistakes

Memori considers every tool call, constraint, and decision your agent makes as context. Other systems only look at the conversation.

How it works

A few concepts worth understanding before you run through the demo.

Agent trace

The full sequence of tool calls, reads, and writes an agent makes to complete a task, including failed attempts.

Memory creation

After each interaction, Memori converts raw session data into structured, reusable memories asynchronously.

Intelligent recall

Memori retrieves relevant memories from past sessions and automatically injects it into the agent's working context. Memori also facilitates precise agent-controlled recall.

Compounding value

Each completed task creates new memory. Your agent remembers how to execute, so every task makes the next one smarter.

Three numbers. One clear picture.

Most teams only measure token cost, we measure token cost plus overall efficiency.

Watch the difference

Select a task and watch both agents in real time. See how the agent equipped with Memori outperforms.

Memori demo

Begin demo

Watch both agents complete the same task in real time.

For each genre, identify the single best-selling track by total units sold on invoice lines, joining Track to Genre. If two tracks tie on units sold, pick the one with higher total line revenue (sum UnitPrice × Quantity). Return genre name, track name, units sold, and line revenue.

Give your agent memory

Integrate Memori in minutes. Your agents keep working the same way, they just stop forgetting.