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19 lines
1.7 KiB
YAML
19 lines
1.7 KiB
YAML
name: severian
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repo: https://github.com/Sahil-SS9/Severian
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sha: bdb14b04ffa014148d4665f239688ca0856561da
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subdir: "plugins/hermes/severian"
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version: "0.3.13"
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description: "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. Disclosure — 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."
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maintainer: Sahil-SS9
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tier: community
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category: memory
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docs_url: https://github.com/Sahil-SS9/Severian#readme
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readme: true
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platforms: []
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capabilities:
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provides_tools: []
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provides_hooks: []
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provides_middleware: []
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requires_env:
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- SEVERIAN_DSN
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