Developers using multiple AI tools face a common frustration: context doesn't carry between different agents. Hippo-memory, a new open-source project, solves this by providing a biologically-inspired memory system that works across Claude Code, Cursor, Codex, and other AI development tools. The tool implements decay mechanisms and retrieval strengthening to help agents learn from mistakes while filtering out noise.

Built with SQLite as its backbone and zero runtime dependencies, Hippo uses markdown/YAML mirrors for git-trackable storage. Recent updates include a working memory layer, session handoffs for continuity, and explainable recall functionality. The tool automatically consolidates memories, can import existing configurations from ChatGPT, Claude, and Cursor, and provides automatic sleep functionality on session exit.

Hippo aims to reduce repetitive mistakes, with benchmarks showing a drop from 78% trap rate to 14% over 50 tasks. Multi-tool developers benefit from portable memories that aren't locked into specific platforms. Teams can maintain structured, decaying instruction sets separate from stale workarounds.