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ruflo-rag-memory

結合 HNSW 搜尋、AgentDB 與語意檢索的 RuVector 記憶。作為外掛(ADR-445),包含防止機密進入記憶的寫入守衛、/rag-mod 命令,以及主控台顯示的狀態檔。

ruvnet@ruvnet

ruvnet/ruflo/tree/main/plugins/ruflo-rag-memory

已翻譯

關於這個 mod

ruflo-rag-memory

結合 HNSW 向量搜尋、AgentDB 持久化與 Claude Code 記憶橋接的檢索增強生成記憶。

概覽

在 AgentDB 上提供語意儲存、搜尋與回憶,並使用 HNSW 索引的向量搜尋(實測在 N=20k 時約為暴力搜尋的 1.9x,在 N=5k 時約為 3.2x–4.7x,recall@10 約為 0.99;超過索引大小交叉點後,ANN 更有優勢)。它會把 Claude Code 的原生自動記憶橋接到 AgentDB,並使用 384 維 ONNX 嵌入,提供跨工作階段的統一語意檢索。

快速開始

在不同工作階段之間儲存與擷取知識:

# Store a pattern you want to remember
npx ruflo memory store --key "oauth-flow" --value "OAuth2 with pkce for SPAs, use refresh tokens" --namespace patterns

# Search for it later (even across projects!)
npx ruflo recall "oauth single page app"

# Retrieve exact entry
npx ruflo memory retrieve --key "oauth-flow" --namespace patterns

搭配代理程式使用:

# In your Claude Code agent prompt:
const context = await memory_search({ query: "authentication patterns", limit: 3 });
// Returns top 3 semantic matches from all sessions

安裝

claude --plugin-dir plugins/ruflo-rag-memory

需求

  • ruflo-core 外掛(提供 MCP 伺服器)

代理程式

| 代理程式 | 模型 | 角色 | |-------|-------|------| | memory-specialist | sonnet | AgentDB 管理、HNSW 最佳化、記憶橋接、整合 |

技能

| 技能 | 用法 | 說明 | |-------|-------|------| | memory-search | /memory-search <query> | 跨所有命名空間的語意向量搜尋 | | memory-bridge | /memory-bridge [--all-projects] | 將 Claude Code 自動記憶匯入 AgentDB |

命令

# Store a memory entry
memory store --key "pattern-auth" --value "JWT with refresh tokens" --namespace patterns

# Semantic search (HNSW-indexed)
memory search --query "authentication patterns" --namespace patterns --limit 5

# Retrieve by key
memory retrieve --key "pattern-auth" --namespace patterns

# List entries
memory list --namespace patterns --limit 10

# Delete
memory delete --key "old-entry" --namespace patterns

# Quick semantic recall across all namespaces
recall "how did we handle rate limiting?"

架構

Claude Code Auto-Memory (~/.claude/projects/*/memory/*.md)
        │
        ▼ (ONNX all-MiniLM-L6-v2, 384-dim)
    Memory Bridge
        │
        ▼
    AgentDB (SQLite + vector_indexes)
        │
        ├── patterns namespace
        ├── tasks namespace
        ├── solutions namespace
        ├── feedback namespace
        ├── security namespace
        └── claude-memories namespace
        │
        ▼ (HNSW ANN index)
    Semantic Search (HNSW ANN — measured ~1.9x at N=20k vs brute force; see docs/reviews/intelligence-system-audit-2026-05-29.md)

靜態加密(ruflo 3.6.25+)

此外掛寫入的 AgentDB SQLite 資料塊(.swarm/memory.db)支援依照 ADR-096 選用 AES-256-GCM 靜態加密。設定 CLAUDE_FLOW_ENCRYPT_AT_REST=1 與 CLAUDE_FLOW_ENCRYPTION_KEY 後:

  • 每次寫入 .swarm/memory.db 都會使用新的 12 位元組 IV 加密(writeFileRestricted({encrypt:true}))。
  • 讀取使用 readFileMaybeEncrypted(path, null) ——透過魔數偵測(RFE1),因此遷移期間舊的明文 memory.db 檔案仍能照常運作。
  • 嵌入會與 SQLite 資料塊的其餘部分一起加密,第一階段不需要個別的欄位級加密。
  • 翻轉一個位元組會使 GCM 驗證失敗並產生解密錯誤,而不是靜默損壞。

使用 ruflo doctor -c encryption 驗證閘門狀態。預設關閉;開啟它不需要遷移步驟(讀取時會偵測舊的明文字節,啟用後第一次寫入會將資料庫改寫為加密形式)。

記憶命名空間

| 命名空間 | 用途 | 範例金鑰 | |-----------|------|--------| | patterns | 成功的程式碼/設計模式 | pattern-auth-jwt | | tasks | 工作階段內容與結果 | task-refactor-api | | solutions | 錯誤修正與解決方案 | fix-race-condition | | feedback | 使用者回饋與更正 | feedback-style-test | | security | 漏洞模式 | vuln-sql-injection | | claude-memories | 橋接的 Claude Code 記憶 | auto-imported |

Claude 記憶橋接

在 AgentDB 工作階段開始時,會自動從 Claude Code 原生的 ~/.claude/projects/*/memory/*.md 檔案匯入記憶,並使用 ONNX 向量嵌入。

# Manual import (current project)
/memory-bridge

# Import all projects
/memory-bridge --all-projects

# Check bridge health
# Via MCP: memory_bridge_status({})

結果會包含來源歸屬:claude-code、auto-memory 或 agentdb。

SmartRetrieval(ADR-090)

用於跨工作階段提升檢索品質的 5 個階段:

  1. 查詢擴充 ——以範本產生變體(無 LLM)
  2. 多查詢扇出 + RRF ——跨變體進行倒數排名融合
  3. 新近度加權 ——根據中繼資料時間戳指數衰減
  4. MMR 多樣性 ——使用 token-Jaccard 最大邊際相關性重新排序
  5. 工作階段輪詢 ——交錯回傳來自不同工作階段的結果
# CLI
npx @claude-flow/cli@latest memory search --query "auth patterns" --smart --limit 10

# MCP
mcp__plugin_ruflo-core_ruflo__memory_search({ query: "auth patterns", smart: true, limit: 10 })

適合多工作階段搜尋、時間查詢(「上週我們如何處理速率限制?」)和多樣化結果。

統一搜尋

同時查詢所有命名空間,並使用 MMR 多樣性重新排序:

# Via MCP: memory_search_unified({ query: "auth security", limit: 5 })
# Via CLI:
npx @claude-flow/cli@latest memory search --query "auth security" --limit 5

HNSW 效能

實測資料來自 docs/reviews/intelligence-system-audit-2026-05-29.md 與 scripts/benchmark-intelligence.mjs:

| 操作 | 相對暴力搜尋 | 備註 | |-----------|----------------|-------| | N=5k 的向量搜尋 | 約快 3.2x–4.7x | ruvector NAPI,recall@10 約 0.99 | | N=20k 的向量搜尋 | 約快 1.9x | ANN 在交叉點以上更有優勢 | | 低於交叉點的向量搜尋 | 持平/更慢 | 小規模資料優先使用暴力搜尋 |

先前公布的「150x–12,500x」資料是暴力搜尋回退產生的結果,在稽核測試框架下無法重現。

與 ruvector 整合

同時載入 ruflo-ruvector 時,rag-memory 會將後端交給 ruvector,以取得進階功能:

  • FlashAttention-3,用於 O(N) 記憶體注意力
  • Graph RAG,用於多跳檢索
  • 使用 RRF 融合的混合搜尋(稀疏 + 稠密)
  • DiskANN,用於大型持久化索引

相容性

  • CLI: 固定使用 @claude-flow/cli 的 v3.6 大版本與小版本。
  • 驗證: bash plugins/ruflo-rag-memory/scripts/smoke.sh 是契約。

命名空間協調——claude-memories 使用者

此外掛是 [ruflo-agentdb ADR-0001 「Namespace convention」](../ruflo-agentdb/docs/adrs/0001-agentdb-optimization.md) 定義之 claude-memories` 保留命名空間的規範使用者端消費者。自動匯入流程:

Claude Code SessionStart hook
  → memory_import_claude (MCP)
  → claude-memories namespace (reserved, ruflo-agentdb owned)
  → exposed by this plugin's memory-bridge skill + memory_search_unified

此外掛不擁有 claude-memories,而是使用它。保留命名空間(pattern、claude-memories、default)不得被遮蔽。

其他命名空間(patterns、tasks、solutions、feedback、security)透過依命名空間路由的 memory_* 存取。外掛全程使用正確路由,不會使用帶有命名空間引數的 agentdb_hierarchical-* 或 agentdb_pattern-store。

驗證

bash plugins/ruflo-rag-memory/scripts/smoke.sh
# Expected: "10 passed, 0 failed"

架構決策

相關外掛

  • ruflo-agentdb ——完整的 AgentDB 控制器橋接(15 個 agentdb_* MCP 工具);命名空間慣例擁有者;擁有 claude-memories 保留命名空間
  • ruflo-ruvector ——進階向量操作(FlashAttention-3、Graph RAG、混合搜尋)
  • ruflo-rvf ——跨機器匯入/匯出的可攜式 RVF 記憶格式
  • ruflo-knowledge-graph ——對記憶執行實體擷取與圖形走訪

授權條款

MIT

作為外掛

函式勾點外掛(ADR-445,採用 ruflo-agentdb 的模式)。它從 hooks/hooks.json → hooks/register.ts 載入。

記憶寫入守衛:memory_store、agentdb_hierarchical-store 和 agentdb_pattern-store 會拒絕機密,因此憑證不會落入向量儲存。

  • 命令: /rag-mod 在本機回答,不呼叫模型。動詞:status、scan <text>(守衛會拒絕這段文字嗎?)、tools(哪些記憶工具已連線)。
  • 狀態檔: .claude-flow/rag-mod/status.json({version, updatedMs, ...counters}),在工作階段開始和計數器變更時寫入。
  • 安全性: 不連線網路,不建立程序;只使用已連線的工具。
  • 選項 guard(預設 on,設為 off 可停用):只會收緊的 tool.call 守衛。若上述其中一個工具的輸入包含金鑰、權杖、私密金鑰或密碼,就拒絕呼叫。拒絕原因不會再次顯示機密。
  • 測試: claude plugin validate plugins/ruflo-rag-memory、claude plugin test plugins/ruflo-rag-memory、bash plugins/ruflo-rag-memory/scripts/smoke.sh。

安裝

請先查看作者 README,確認 marketplace 與外掛名稱;指令可能隨儲存庫結構而變動。

claude plugin marketplace add ruvnet/ruflo
claude plugin install ruflo-rag-memory
原文 / README

ruflo-rag-memory

Retrieval-Augmented Generation memory with HNSW vector search, AgentDB persistence, and Claude Code memory bridge.

Overview

Provides semantic store/search/recall over AgentDB with HNSW-indexed vector search (measured ~1.9x at N=20k, ~3.2x–4.7x at N=5k vs brute force, recall@10 ~0.99; ANN wins above the index-size crossover). Bridges Claude Code's native auto-memory into AgentDB with 384-dim ONNX embeddings for unified cross-session semantic retrieval.

Quick Start

Store and retrieve knowledge across sessions:

# Store a pattern you want to remember
npx ruflo memory store --key "oauth-flow" --value "OAuth2 with pkce for SPAs, use refresh tokens" --namespace patterns

# Search for it later (even across projects!)
npx ruflo recall "oauth single page app"

# Retrieve exact entry
npx ruflo memory retrieve --key "oauth-flow" --namespace patterns

Use with agents:

# In your Claude Code agent prompt:
const context = await memory_search({ query: "authentication patterns", limit: 3 });
// Returns top 3 semantic matches from all sessions

Installation

claude --plugin-dir plugins/ruflo-rag-memory

Requires

  • ruflo-core plugin (provides MCP server)

Agents

| Agent | Model | Role | |-------|-------|------| | memory-specialist | sonnet | AgentDB management, HNSW optimization, memory bridge, consolidation |

Skills

| Skill | Usage | Description | |-------|-------|-------------| | memory-search | /memory-search <query> | Semantic vector search across all namespaces | | memory-bridge | /memory-bridge [--all-projects] | Import Claude Code auto-memory into AgentDB |

Commands

# Store a memory entry
memory store --key "pattern-auth" --value "JWT with refresh tokens" --namespace patterns

# Semantic search (HNSW-indexed)
memory search --query "authentication patterns" --namespace patterns --limit 5

# Retrieve by key
memory retrieve --key "pattern-auth" --namespace patterns

# List entries
memory list --namespace patterns --limit 10

# Delete
memory delete --key "old-entry" --namespace patterns

# Quick semantic recall across all namespaces
recall "how did we handle rate limiting?"

Architecture

Claude Code Auto-Memory (~/.claude/projects/*/memory/*.md)
        │
        ▼ (ONNX all-MiniLM-L6-v2, 384-dim)
    Memory Bridge
        │
        ▼
    AgentDB (SQLite + vector_indexes)
        │
        ├── patterns namespace
        ├── tasks namespace
        ├── solutions namespace
        ├── feedback namespace
        ├── security namespace
        └── claude-memories namespace
        │
        ▼ (HNSW ANN index)
    Semantic Search (HNSW ANN — measured ~1.9x at N=20k vs brute force; see docs/reviews/intelligence-system-audit-2026-05-29.md)

Encryption at rest (ruflo 3.6.25+)

The AgentDB SQLite blob written by this plugin (.swarm/memory.db) supports opt-in AES-256-GCM encryption at rest per ADR-096. When CLAUDE_FLOW_ENCRYPT_AT_REST=1 and CLAUDE_FLOW_ENCRYPTION_KEY is set:

  • Each write of .swarm/memory.db is encrypted with a fresh 12-byte IV (writeFileRestricted({encrypt:true})).
  • Reads use readFileMaybeEncrypted(path, null) — magic-byte sniff (RFE1) so legacy plaintext memory.db files keep working unchanged during the migration window.
  • Embeddings are encrypted along with the rest of the SQLite blob — no separate column-level encryption needed for Phase 1.
  • A flipped byte fails GCM auth and produces a decrypt error rather than silent corruption.

Verify gate state with ruflo doctor -c encryption. Off by default; flipping it on doesn't require a migration step (legacy plaintext bytes are sniffed on read; first write after enable rewrites the DB encrypted).

Memory Namespaces

| Namespace | Purpose | Example Key | |-----------|---------|-------------| | patterns | Successful code/design patterns | pattern-auth-jwt | | tasks | Task context and outcomes | task-refactor-api | | solutions | Bug fixes and solutions | fix-race-condition | | feedback | User feedback and corrections | feedback-test-style | | security | Vulnerability patterns | vuln-sql-injection | | claude-memories | Bridged Claude Code memories | auto-imported |

Claude Memory Bridge

Auto-imports Claude Code's native ~/.claude/projects/*/memory/*.md files into AgentDB on session start with ONNX vector embeddings.

# Manual import (current project)
/memory-bridge

# Import all projects
/memory-bridge --all-projects

# Check bridge health
# Via MCP: memory_bridge_status({})

Results include source attribution: claude-code, auto-memory, or agentdb.

SmartRetrieval (ADR-090)

5-phase retrieval pipeline for higher-quality recall across sessions:

  1. Query expansion -- template-based variant generation (no LLM)
  2. Multi-query fan-out + RRF -- Reciprocal Rank Fusion across variants
  3. Recency boost -- exponential decay from metadata timestamps
  4. MMR diversity -- token-Jaccard Maximal Marginal Relevance re-ranking
  5. Session round-robin -- interleaved results from distinct sessions
# CLI
npx @claude-flow/cli@latest memory search --query "auth patterns" --smart --limit 10

# MCP
mcp__plugin_ruflo-core_ruflo__memory_search({ query: "auth patterns", smart: true, limit: 10 })

Best for multi-session recall, temporal queries ("what did we decide last week?"), and diverse result sets.

Unified Search

Queries across all namespaces simultaneously with MMR diversity reranking:

# Via MCP: memory_search_unified({ query: "auth security", limit: 5 })
# Via CLI:
npx @claude-flow/cli@latest memory search --query "auth security" --limit 5

HNSW Performance

Measured numbers from docs/reviews/intelligence-system-audit-2026-05-29.md + scripts/benchmark-intelligence.mjs:

| Operation | vs Brute Force | Notes | |-----------|----------------|-------| | Vector search (N=5k) | ~3.2x–4.7x faster | ruvector NAPI, recall@10 ~0.99 | | Vector search (N=20k) | ~1.9x faster | ANN wins above crossover | | Vector search (below crossover) | ties/loses | brute force preferred for small N |

The previously published "150x–12,500x" figures were brute-force fallback artifacts and are not reproduced under the audit harness.

Integration with ruvector

When ruflo-ruvector is also loaded, rag-memory delegates to ruvector's backend for advanced features:

  • FlashAttention-3 for O(N) memory attention
  • Graph RAG for multi-hop knowledge retrieval
  • Hybrid search (sparse + dense) with RRF fusion
  • DiskANN for large-scale persistent indexes

Compatibility

  • CLI: pinned to @claude-flow/cli v3.6 major+minor.
  • Verification: bash plugins/ruflo-rag-memory/scripts/smoke.sh is the contract.

Namespace coordination — claude-memories consumer

This plugin is the canonical user-facing consumer of the claude-memories reserved namespace defined in ruflo-agentdb ADR-0001 §"Namespace convention". The auto-import flow:

Claude Code SessionStart hook
  → memory_import_claude (MCP)
  → claude-memories namespace (reserved, ruflo-agentdb owned)
  → exposed by this plugin's memory-bridge skill + memory_search_unified

This plugin does not own claude-memories — it consumes it. Reserved namespaces (pattern, claude-memories, default) MUST NOT be shadowed.

Other namespaces (patterns, tasks, solutions, feedback, security) are accessed via memory_* (namespace-routed). The plugin uses correct routing throughout — no agentdb_hierarchical-* or agentdb_pattern-store with namespace arguments.

Verification

bash plugins/ruflo-rag-memory/scripts/smoke.sh
# Expected: "10 passed, 0 failed"

Architecture Decisions

Related Plugins

  • ruflo-agentdb — Full AgentDB controller bridge (15 agentdb_* MCP tools); namespace convention owner; owns the claude-memories reserved namespace
  • ruflo-ruvector — Advanced vector operations (FlashAttention-3, Graph RAG, hybrid search)
  • ruflo-rvf — Portable RVF memory format for cross-machine export/import
  • ruflo-knowledge-graph — Entity extraction and graph traversal over memory

License

MIT

As a mod

Function-hook mod (ADR-445, pattern of ruflo-agentdb). It loads from hooks/hooks.json → hooks/register.ts.

A write guard for memory: memory_store, agentdb_hierarchical-store and agentdb_pattern-store refuse secrets, so credentials never land in the vector store.

  • Command: /rag-mod answers locally with no model call. Verbs: status, scan <text> (would the guard refuse this?), tools (which memory tools are connected).
  • Status file: .claude-flow/rag-mod/status.json ({version, updatedMs, ...counters}), written at session start and as counters change.
  • Safety: no network, no process spawning; it only uses tools already connected.
  • Option guard (on by default, off to disable): a tighten-only tool.call guard. A call to one of the tools above whose input holds a key, token, private key or password is denied. The reason never repeats the secret.
  • Test: claude plugin validate plugins/ruflo-rag-memory, claude plugin test plugins/ruflo-rag-memory, bash plugins/ruflo-rag-memory/scripts/smoke.sh.

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