Persistent, adaptive vector memory for agents on a ruOS desktop — a Rust-native vector database with local semantic embeddings, HNSW retrieval, and graph relationships. Use to remember and recall across sessions with no database server or API key.
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
RuVector (ruvector) is a Rust-native vector database and adaptive memory
substrate for agents that need to remember across sessions. It combines local
semantic embeddings, persistent vector retrieval, graph relationships, explicit
feedback learning, and memory lifecycle controls. The default retrieval path runs
locally — no database server or API key required.
npx ruvector@latest --help
# Remember and recall run locally, no server/key needed — see the ruvector
# README for the current verb set on your installed version:
# https://www.npmjs.com/package/ruvector
RuVector's CLI/MCP verb surface evolves across versions. Run
--helpon the version you install (this repo grounded againstruvector0.3.x) rather than assuming a verb exists.
brain_*, rvf_*,
hooks_*) for attached clients.memory skill can use RuVector as its
vector substrate.RuVector — ruvector ·
docs: https://cognitum.one/ruvector.
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Self-learning pre/post-task hooks and model/task routing from the Ruflo CLI, on a ruOS desktop. Use to add coordination, formatting, and learning around Claude Code operations, or to route work by complexity/cost.
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Store and semantically search agent memory with ONNX vector embeddings on a ruOS desktop, using the Ruflo CLI. Use to persist patterns/decisions across sessions and recall them by meaning rather than exact key.
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Spin up a coordinated multi-agent swarm (hierarchical or mesh topology) to work a complex, multi-file task on a ruOS desktop. Use when a task needs 3+ agents working in parallel with anti-drift coordination; skip for single-file edits.
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