deployment workflow · mnemosyne-oss/mnemosyne

Self-hosted sync deployment

Docker Compose/Caddy and Fly.io configurations for hosting the Mnemosyne sync endpoint.

Type
deployment workflow
Repository
mnemosyne-oss/mnemosyne
Readiness
Usable for local Claude Code memory with caveats; production sync, remote models, sensitive-memory retention, and benchmark claims require additional validation.
Keywords
6

Location

Repository path

deploy/sync/README.md

Invocation

Use the documented `docker compose` or `fly` deployment workflow.

Setup

Installation / activation

Deploy the supplied configuration with an API key and TLS endpoint.

Keywords

Docker ComposeCaddyFly.ioTLSself-hostedsync

Repository context

mnemosyne-oss/mnemosyne

MIT-licensed, local-first Python memory layer for AI agents that stores memories in SQLite and exposes remember, recall, and forget capabilities to Claude Code through a documented stdio MCP server; it also offers a Python SDK, CLI, optional local embeddings and consolidation, temporal triples, memory banks, import/export, and optional encrypted cross-instance sync.

AI agent memoryClaude Code integrationLocal-first infrastructureSemantic retrievalKnowledge graphsDeveloper toolingData synchronizationMulti-agent systems

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