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Severian

Local-first long-term memory for Hermes agents: a canonical append-only store (SQLite or PostgreSQL+pgvector) with five-dimensional tenant/profile/collection/agent/session scope, hybrid BM25+vector retrieval with a re-ranker, memories that cite the observations they came from, per-turn user facts, real dates next to relative times, truth resolution when a newer fact replaces an older one, and a conflict note when two returned memories disagree. Fully offline by default; Qwen3-Embedding-0.6B semantic embeddings opt-in, locally or in a user-owned sidecar. On OmniMemEval's public long-term-memory leaderboard (its own models, prompts and full public sets) it scores 90.6 LongMemEval (1st), 87.3 LoCoMo (2nd) and 71.6 BEAM 100K (2nd, within noise of the lead); it re-ran LCM-X to check the board's records, and per-question results, a strict second marker and scripts are published in the repo.

Good to know before installing

Stores every conversation turn in one SQLite database under the Hermes root (`<hermes root>/severian`) shared by all profiles with rows scoped per profile, or in the PostgreSQL database named by `SEVERIAN_DSN`; the opt-in Qwen/Granite embeddings download a model from Hugging Face on first use, and the opt-in embedding sidecar sends memory text to the URL you configure.

From the plugin's catalog listing.

How to install

  1. Install it. Hermes asks for any API keys it needs (this one needs SEVERIAN_DSN), then asks whether to turn it on.
    hermes plugins install severian
  2. Said no? Turn it on later:
    hermes plugins enable severian
  3. Restart Hermes so it loads the plugin.

Some plugins also need a sign-in or settings: see Full setup & settings. Memory plugins ask whether to become your memory provider instead. Steps follow the official plugins guide (opens in a new tab).

Category
Memory & notes · AI models & providers
Maintained by
Sahil-SS9 (Community)
Needs
SEVERIAN_DSN API key
Version
0.3.13
In the catalog
2026-10-28

Full setup & settings ↗Source code ↗

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