Give agents persistent semantic memory with Memora
Use Memora to give MCP-compatible agents persistent semantic memory, document recall, and knowledge-graph context across sessions.
Prerequisites
Python package installed from the Memora GitHub repository; MCP-compatible client such as Claude Code, Codex, Cursor, or another MCP host; optional SQLite, S3/R2, or Cloudflare D1 storage
Installation
Use the upstream install or setup path that matches your environment:
- pip install git+https://github.com/agentic-box/memora.git
- pip install "memora[local]" @ git+https://github.com/agentic-box/memora.git
- npx wrangler d1 create memora-graph
- npx wrangler d1 execute memora-graph --file=memora-graph/schema.sql
Requirements and caveats from upstream:
Node Colors
- Node size reflects connection count.
Basic usage or getting-started notes:
Features · Install · Usage · Config · Live Graph · <...
📊 Statistics & Analytics - Tag usage, trends, and connection insights
bash
Extracted from upstream docs: https://raw.githubusercontent.com/agentic-box/memora/HEAD/README.md