Hippo Memory: A Cross-Tool AI Memory System

Hippo Memory is a sophisticated memory management system designed to address the limitations of AI agents that forget everything between sessions. Unlike traditional solutions that merely store and search data, Hippo offers a dynamic memory layer that mimics human memory processes, such as decay and consolidation. It is built for multi-tool developers and teams using various AI agents like Claude Code, Cursor, and Codex, ensuring that context and lessons are shared across tools without starting from scratch each time.

## Key Features

- **Decay by Default**: Memories have a default half-life of 7 days, encouraging the retention of only relevant information. Retrievals extend this half-life, reinforcing important memories.

- **Error Memories**: Errors are given a longer half-life, ensuring that critical mistakes are not easily forgotten.

- **Confidence Tiers**: Each memory is tagged with a confidence level, helping agents discern between verified facts and inferred patterns.

- **Cross-Tool Import and Export**: Hippo allows seamless import and export of memories across different tools and formats, preventing vendor lock-in.

- **Explainable Recall**: Users can see why certain memories are recalled, with details on matching terms and sources.

## Advanced Capabilities

Hippo introduces a working memory layer for managing current-state notes, separate from long-term memory. It supports session handoffs, allowing seamless transitions between sessions by preserving summaries and next actions. The system also includes a hybrid search mechanism combining BM25 keywords with cosine embedding similarity, enhancing recall quality.

## Integration and Automation

Hippo is framework-agnostic and integrates automatically with agent frameworks like Claude Code and Codex. It sets up hooks for context injection and error handling, and can auto-learn from git commit histories, capturing lessons from code changes. The system is designed to be zero-config, requiring minimal setup effort.

## Neuroscience-Inspired Design

The architecture of Hippo is inspired by the human hippocampus, employing mechanisms like fast buffer storage and slow pattern extraction to optimize memory retention. This design ensures that only the most valuable memories are consolidated over time, reducing interference from outdated information.

Hippo Memory is a powerful tool for developers seeking a robust, cross-tool memory solution that emulates the nuanced processes of human memory, ensuring that AI agents can learn and adapt more effectively over time.