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.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Vector-backed agent memory from the Ruflo CLI (@claude-flow/cli). Entries
are stored with ONNX (all-MiniLM-L6-v2, 384-dim) embeddings and retrieved by
semantic similarity, organized into namespaces.
# Store a value with a vector embedding
npx @claude-flow/cli@latest memory store \
--key "pattern-auth" --value "JWT with refresh tokens" --namespace patterns
# Semantic search by meaning
npx @claude-flow/cli@latest memory search --query "authentication patterns"
# List a namespace
npx @claude-flow/cli@latest memory list --namespace patterns
patterns, loop, per-project).memory_store, memory_search, memory_search_unified)
exposes the same store to an attached Claude Code session.ruvector — see that skill
for the standalone vector database.Ruflo — @claude-flow/cli.
Related: ruflo-swarm,
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。