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aios memo GUI: See Your Agent's Memory As a Living Graph

Your coding agent has been working for weeks. It's written code, fixed bugs, made decisions. But what does that history actually look like?

Now you can see it.

The aios memo GUI is a visual interface for ContextDB — it turns your agent's session history into an interactive node graph where you can explore what happened, when, and how it all connects.

aios memo GUI showing ContextDB as an interactive node graph with session details panel
The aios memo GUI: your project's memory, visualized.

What You're Looking At

The screenshot above shows the ContextDB view in the aios memo GUI. Here's what each part means:

The graph (left side): - Each node is a piece of your project's memory — a session, a checkpoint, a reference to a file - Lines between nodes show relationships: "this checkpoint came from that session", "this file was referenced in that event" - Purple nodes are references to actual files in your project

The details panel (right side): - Click any node to see its full details - Shows metrics like trust score and risk level - Lists parent sessions and evidence references - Displays the source file path

The top bar: - Quick stats: how many nodes, sessions, checkpoints, and risks - Filter tabs: All, Sessions, Checkpoints, Events, Risks - Search: find specific nodes by name

Why This Matters

Before the GUI, understanding your agent's history meant:

  • Digging through files in memory/context-db/sessions/
  • Running CLI commands and reading JSON output
  • Trying to mentally connect sessions, checkpoints, and events

Now you can just look at it.

Need to know what your agent was doing last Tuesday? Click the session node. Want to see which files were touched during a specific checkpoint? Follow the edges. Trying to find risks that were flagged? Filter by the Risks tab.

Getting Started

The aios memo GUI reads from your existing ContextDB data. If you already have Harness CLI set up with .contextdb-enable in your project, your data is ready.

  1. Open the GUI and point it to your project
  2. Click Load to import your ContextDB data
  3. Explore the graph — click nodes, follow connections, use search

The graph loads your project's full memory: sessions, checkpoints, events, file references, risk flags, and handoff records. Everything that ContextDB has recorded, now visible at a glance.

What You Can Do With It

Trace a bug across sessions

Click on a risk node, then follow its edges back to the session and checkpoint where it was first detected. See exactly what the agent was doing when the issue appeared.

Understand memory lineage

See how sessions connect: which checkpoint spawned the next session, which files were referenced across multiple sessions, how context was handed off between agents.

Audit agent behavior

The trust score and risk level on each node give you a quick health check. Filter by "Risks" to see only flagged items, then investigate each one.

Search for specific events

Use the search bar to find nodes by file name, session ID, or any text content. No more grepping through JSONL files.

The Bigger Picture

The aios memo GUI is part of the ContextDB ecosystem — the memory system that makes your coding agents remember across sessions. While ContextDB runs automatically in the background (recording events, creating checkpoints, building context packs), the GUI gives you a human-readable view of what's happening.

It's not just pretty — it's practical. When you're debugging an agent that went off track, trying to understand why a decision was made, or auditing what happened during an overnight harness run, the visual graph tells the story faster than any log file.

Try It

If you're already using Harness CLI with ContextDB enabled, your data is ready. Open the aios memo GUI and start exploring.

New to Harness CLI? Start with the Quick Start guide to get ContextDB running in your project, then come back and visualize your agent's memory.


The aios memo GUI is part of the Harness CLI ecosystem. Get started or read the ContextDB docs to learn more about agent memory.