Mnemo MCP Server
by n24q02mio.github.n24q02m/mnemov2.20.1
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.
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Active2d ago
Install Mnemo MCP server
No published package or hosted endpoint yet — see the repository README for build-from-source instructions.
Configuration
| Variable | Required | Secret | Description |
|---|---|---|---|
| API_KEYS | — | yes | Provider API keys (format: PROVIDER_API_KEY:key,...). Select models per task with EMBEDDING_MODELS / RERANK_MODELS / LLM_MODELS (CSV provider/model, order = litellm fallback); provider is inferred from the model prefix. Empty embedding/rerank chains select Fastretrieval local ONNX/GGUF models; configured cloud chains never silently fall back to local. |
Freshness
Active — last maintenance signal 2d ago. The newest of the signals below sets the band.
Last commit (default branch)
2026-10-08 · 2d ago · GitHub
Latest release
2026-10-07 · 3d ago · GitHub · v2.20.1
Package published
no data · npm/PyPI
Registry entry updated
2026-10-07 · 3d ago · official registry · v2.20.1
FAQ
›Does Mnemo require an API key?
Yes. It expects API_KEYS, of which 1 is a secret.
›Can I use Mnemo as a remote (hosted) MCP server?
Yes. It is a hosted MCP server; connect to its URL with any client that supports remote MCP.
›Is Mnemo in the official MCP registry?
Yes, as io.github.n24q02m/mnemo.
Alternatives to Mnemo
Other memory MCP servers.