The layer / Memory and knowledge
Agent memory, live
AgentBrain
Agents that remember, and improve with every run.
AgentBrain gives AI agents three complementary kinds of memory. Working memory holds the context of the current day. Episodic memory records significant events across sessions. Lessons capture rules learned from experience and are applied automatically at the start of every new session.
Why it matters.
Without memory, every agent session starts from zero and repeats yesterday's mistakes. AgentBrain turns individual runs into accumulated operational knowledge, shared by every agent that works for you.
Working memory
Short-lived context that persists for 24 hours across tools and sessions.
Episodic memory
A searchable record of what happened, when, and with what outcome.
Lessons
Durable rules distilled from experience, loaded automatically into new sessions.
Agent-neutral
Works with Claude Code, Gemini CLI and any agent that supports MCP.
Where teams use AgentBrain.
Operational consistency
A deployment pitfall discovered once is avoided by every agent afterwards.
Team continuity
Several agents share one memory of the project and its decisions.
Self-improvement
Review candidate lessons before they become permanent rules.
How AgentBrain connects.
AgentBrain relies on the shared foundations of the layer and works alongside the services below. See the full architecture.
Takes part in: an agent completes a ticket.
More in memory and knowledge.
Let's build it together.
Whether you want to run your own agents on the layer, discuss one of our products, or need a partner for an AI, Java or enterprise project, we respond within one working day.