Zero-cloud AI memory that works everywhere. SQLite-backed. One pure-Python dependency.
mnemosyne-oss/mnemosyne is a local AI memory layer that stores agent memories in SQLite instead of relying on cloud services. It is intended for coding agents and other agent frameworks, and can be used through MCP or a Python SDK. The catalogue skills connect agents to Mnemosyne’s memory features and related workflows.
This repository also configures its own agents. See what mnemosyne tells them →
Skill Claude CodeCodex
Hard rule override that forces Mnemosyne for all durable memory storage. The legacy memory tool is DEPRECATED for user preferences, credentials, and project conventions. Use memory ONLY for ephemeral session state.
Skill Claude CodeCodex
Persistent cross-session memory via Mnemosyne — store, recall, and consolidate facts, preferences, and context.
Skill Claude CodeCodex
Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: