Kairos is an always-on background agent (daemon) within Claude Code's architecture that autonomously prunes, merges, and resolves contradictions in the system's working memory while the user is idle.
Revealed through an accidental source code leak of Claude Code v2.1.88 in late March 2026, Kairos (internally codenamed "autoDream") represents one of the first known implementations of autonomous memory management in a production AI coding tool.
Why It Matters
As agentic AI systems operate over longer sessions and accumulate context from many files, conversations, and tool interactions, their working memory becomes cluttered with stale facts, duplicate entries, and contradictory information. Kairos addresses this fundamental challenge by running background "housekeeping" without interrupting the user's workflow. It is an early example of the infrastructure required for truly long-running, persistent AI agents—a problem every agentic system will eventually need to solve.
How It Works
Kairos activates during idle periods in a Claude Code session. It scans the agent's accumulated memory (stored context, file summaries, TODO lists, and speculative notes) and performs three operations: (1) pruning outdated or irrelevant entries, (2) merging duplicate memories about the same entity or concept, and (3) resolving contradictions where later information supersedes earlier assumptions. The result is a continuously optimized memory state that keeps the primary coding agent fast and accurate even during extended sessions.
Example
During a long coding session, a developer refactors a database module from PostgreSQL to SQLite. The primary Claude Code agent updates its memory with the new database driver details, but earlier memories still reference PostgreSQL connections. When the developer pauses to review code, Kairos activates in the background, detects the conflicting database references, removes the outdated PostgreSQL entries, and merges the SQLite context into a single coherent memory—so the next time the developer asks a question, the agent responds without confusion.