Warp Launches Agent Memory System That Lets AI Agents Share Knowledge Across Teams and Machines
Summary
Warp launches Agent Memory, a persistent cross-machine system enabling AI agents like Claude Code and Codex to retain and share knowledge, decisions, and workflows across entire teams without consuming tokens or adding latency.
Key Points
- Warp's Agent Memory is a persistent, cross-harness memory system that allows agents — including the built-in Warp Agent, Claude Code, and Codex — to retain and share durable facts, decisions, and outcomes across conversations, machines, and teammates.
- Memory is organized into personal, agent-owned, and team stores that can be attached to one or more agents with read-only or read-write access, enabling teams to share knowledge like deployment runbooks or code review conventions across multiple agents simultaneously.
- Memory creation and retrieval run asynchronously in the background after conversations end, consuming no tokens and adding no latency, while upcoming features include a programmatic API and self-hosting support for compliance requirements.