gordonkjlee/facthouse

Overview

A local memory engine designed for AI tools, providing persistent storage and retrieval of context or facts. It runs locally, allowing AI applications to access shared memory without relying on external services.

Best for

Best for
Developers experimenting with local memory for AI tools who prioritize privacy and simplicity over mature ecosystem support.

Use cases

• Give AI assistants persistent memory across sessions
• Store and retrieve contextual facts for AI agents
• Build local-first AI tools with shared knowledge

Notes

A local memory engine designed for AI tools, providing persistent storage and retrieval of context or facts. It runs locally, allowing AI applications to access shared memory without relying on external services.

2 stars on GitHub. Last updated 2026-09-08. Licensed MIT.

Use cases

• Give AI assistants persistent memory across sessions
• Store and retrieve contextual facts for AI agents
• Build local-first AI tools with shared knowledge

Pros

• Runs locally, keeping data private and offline
• Simple integration for any AI tool or framework
• Lightweight TypeScript implementation

Cons

• Very low adoption (2 stars) suggests early-stage or unproven reliability
• Limited documentation and community support
• May lack advanced features like vector search or distributed sync

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.