AI Agent · Remembers and retrieves

Memory Agent

Manages short-term, long-term, and compressed memory; controls storage and retrieval.

What the Memory Agent Does

The Memory Agent manages short-term, long-term, and compressed memory. It controls what the system stores and what it retrieves when needed.

Why It Matters

Memory is what lets a loop start smarter than the last. It turns scattered runs into institutional knowledge.

Flow

Inputs and Outputs

Inputs

  • Session context and decisions
  • Outcomes and results
  • Retrieval requests
  • Retention rules

Outputs

  • Stored decisions and context
  • Relevant retrieved memory
  • Session summaries
  • Compressed long-term knowledge

Example

Example Use Cases

Where it shows up

  • Summarizing long sessions
  • Storing decisions for later
  • Retrieving user preferences
  • Carrying context across missions

Common Failure Modes

When this agent breaks

  • Storing everything, retrieving nothing useful
  • Losing context between sessions
  • Stale memory that misleads
  • Retrieval that returns noise

In the Hierarchy

Parent Layer

Layer 03

Memory + Recursive Learning Layer

The Memory and Recursive Learning Layer remembers context, decisions, and lessons, and feeds them back so every loop starts smarter than the last.

Swarm Loop

Stages It Works In

Stage 1

Define Stage

Clarify the goal, constraints, and definition of done.

Stage 8

Learn Stage

Store lessons so the next loop starts smarter.

Nearby

Agents It Works With

Critiques and improves

Evaluator Agent

Critiques outputs and improves them through feedback loops.

Models outcomes first

Simulation Agent

Models possible outcomes and tests strategies before execution.

See the Memory Agent in Action

Run a live mission to watch this agent coordinate with the rest of the swarm, or browse every agent type in the index.

Launch Simulator All Agent Types
Manager AgentEvaluator Agent