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agentdb-query

Store and retrieve knowledge across agent sessions with AgentDB. Organize memories into tiers, search learned patterns, combine related memories into context, and record causal links to support later work.

中文简介正在准备中。当前显示英语简介。

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Query AgentDB through the controller bridge -- semantic routing, hierarchical recall, causal graphs, context synthesis, pattern store/search

查看安装方法

适用场景

  • Reuse knowledge from previous agent sessions
  • Store and search learned patterns
  • Combine related memories into context
  • Record causal links between pieces of knowledge

包含的文件(1)

  • SKILL.md4.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

AgentDB Query

Query and manage AgentDB through the controller bridge. AgentDB exposes 20 agentdb_* MCP tools; this skill enumerates the standard usage path.

When to use

When you need to store, retrieve, or search knowledge across agent sessions. AgentDB provides hierarchical storage, causal knowledge graphs, semantic routing, and context synthesis.

Steps

  1. Check health — mcp__plugin_ruflo-core_ruflo__agentdb_health. Sanity-check available: true.
  2. Start session — mcp__plugin_ruflo-core_ruflo__agentdb_session-start if not already active.
  3. Store knowledge — mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store for structured tier-keyed data (tiers: working|episodic|semantic).
  4. Recall knowledge — mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall with a query.
  5. Search patterns — mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search for learned patterns (ReasoningBank-routed).
  6. Synthesize context — mcp__plugin_ruflo-core_ruflo__agentdb_context-synthesize to combine multiple memories.
  7. Build causal graph — mcp__plugin_ruflo-core_ruflo__agentdb_causal-edge to link related knowledge.

Available controller groups

Call mcp__plugin_ruflo-core_ruflo__agentdb_controllers to list the runtime registry. Functional categories surfaced via the 20 MCP tools:

  • Hierarchical — agentdb_hierarchical-store, _recall (tier-routed)
  • Pattern — agentdb_pattern-store, _search (ReasoningBank-routed)
  • Semantic — agentdb_semantic-route, _context-synthesize
  • Causal — agentdb_causal-edge (graph-node backend with bridge fallback)
  • Lifecycle — agentdb_health, _controllers, _session-start, _session-end
  • Bulk — agentdb_batch (≤500 entries), _consolidate
  • Quality — agentdb_feedback
  • Graph reads — agentdb_graph-query (k-hop / semantic / pagerank from a domain-prefixed node id such as entity:xyz; SQL k-hop is bounded at 3 hops, check appliedDepth and truncated) and agentdb_graph-pathfinder
  • Deletes (destructive) — agentdb_hierarchical-delete, agentdb_causal-edge-delete, agentdb_causal-node-delete. Confirm the exact ids with the user before calling; they are not undoable from this plugin.

Important: namespace handling

Namespace strings apply to memory_* and embeddings_search only. The agentdb_hierarchical-*, agentdb_pattern-*, and agentdb_causal-edge tools route by tier or controller, not namespace. Don't pass namespace: 'foo' to those tools — it will be silently ignored. See plugin README "Namespace convention".

Operational fallbacks (branch on these)

  • controller: 'memory-store-fallback' — pattern persisted via memory_store --namespace pattern. NOT a failure.
  • _graphNodeBackend: true — causal-edge handled by @ruvector/graph-node.
  • success: false, error: '...Use memory_store/memory_search instead.' — bridge unavailable; switch to memory_* tools per the README replacement table.

CLI alternative

npx @claude-flow/cli@latest memory search --query "your query" --namespace patterns
npx @claude-flow/cli@latest memory store --key "key" --value "value" --namespace patterns
npx @claude-flow/cli@latest memory list --namespace patterns

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