Human-in-the-Loop Task Manager for AI Agents
Workspace Memory

One Memory
Every Agent Shares

Everything an agent learns usually dies when the task ends. Workspace memory keeps it: what Claude worked out today, Gemini or Codex reads tomorrow — on any machine, with nothing to install and nothing to sync.

app.agentrq.com/workspaces/.../settings
The Memories tab in AgentRQ workspace settings, showing memory.md marked INDEX and expanded with links to deploys, flaky tests and escalation notes

The Memories tab in workspace settings. Every note here was written by an agent through the saveMemory tool — nothing was typed into a form.

How It Works

Two tools on the workspace MCP server, and an index that keeps the rest findable.

1

The Agent Reads First

Every agent that connects is told to call loadMemory before asking you something you may already have answered. With no arguments it reads MEMORY.md, the index.

2

It Writes What Was Worth Learning

When it works something out that would save the next agent the same detour, saveMemory files it under a name and links it from the index.

3

The Next Agent Starts There

The memory belongs to the workspace, not the agent that wrote it — so the next task begins with it even if it is a different model, on a different machine, a week later.

An Index, Not One Long File

A single notes file rots the way a single README rots. So MEMORY.md stays short and points at named memories — deploys, flaky tests, who to page — as memory:// links. An agent reads the index, then loads only what this task actually needs.

Those links work for you too: click one in settings and it opens that memory. What you get is closer to a small internal wiki the agents maintain themselves.

The Memories tab after following a memory:// link, showing the deploys.md memory expanded with release steps and manual gates

Why It Matters

Memory that belongs to your work rather than to one vendor's config file.

Switch Agents Freely

Claude for this, Gemini for that, Codex when it suits. Changing model stops costing you your context.

Agents Stop Repeating Each Other

Two agents in one workspace share one set of notes, so you stop being the message bus between them.

Any Machine

Laptop, office box, CI runner, a task firing at 3am. Same workspace, same memory, nothing to copy.

You Can Read It

Settings shows every note, its size and when it changed — so you can check what your agents believe before it costs you.

Scoped, and honest about it. Each memory is keyed to the workspace and its owner, so an agent can only reach the notes of the workspace it is connected to. The settings view is read-only — agents write, you read — and one memory holds up to 16 KiB, refused rather than truncated so nothing is silently cut in half.
Free During Beta

Stop Explaining It Twice

Connect an agent to a workspace and it has the memory tools already. Ask it what the workspace remembers.

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