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ruflo-knowledge-graph

Knowledge graph construction -- entity extraction, relation mapping, and pathfinder graph traversal.

Overview

Extracts entities (classes, functions, modules, types, concepts) and relations (imports, extends, implements, depends-on, calls) from source code and documentation. Builds a navigable knowledge graph stored in AgentDB with hierarchical nodes and causal edges. Traverses the graph using a pathfinder algorithm that scores paths by edge weight and semantic similarity.

Installation

claude --plugin-dir plugins/ruflo-knowledge-graph

Agents

Agent Model Role
graph-navigator sonnet Entity extraction, relation mapping, knowledge graph construction, pathfinder traversal

Skills

Skill Usage Description
kg-extract /kg-extract <path> Extract entities and relations from source files to build a knowledge graph
kg-traverse /kg-traverse <entity> [--depth N] Pathfinder traversal starting from a seed entity

Commands (5 subcommands)

kg extract <path>            # Extract entities and relations from source files
kg traverse <entity>         # Pathfinder traversal from a seed entity
kg relations <entity>        # List all direct relations for an entity
kg visualize                 # ASCII visualization of the knowledge graph
kg search <query>            # Semantic search across the graph

Entity Types

Type Examples
class UserService, AuthController
function calculateDiscount, handleRequest
module auth, payments, api
concept authentication, caching
type User, OrderStatus
config database, redis, jwt

Compatibility

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

Namespace coordination

This plugin owns the kg-graph AgentDB namespace (kebab-case, follows the convention from ruflo-agentdb ADR-0001 §"Namespace convention"). Reserved namespaces (pattern, claude-memories, default) MUST NOT be shadowed.

Entity nodes are stored via agentdb_hierarchical-store; relation edges via agentdb_causal-edge; semantic indexing via embeddings_generate (NOT embeddings_embed — that tool name doesn't exist; ADR-0001 fixes prior references).

Pathfinder Algorithm

  1. Seed -- start from the target entity node
  2. Expand -- follow causal edges outward (configurable depth, default 3)
  3. Score -- relevance = edge_weight * semantic_similarity(query, node)
  4. Prune -- remove paths below threshold (default 0.3)
  5. Rank -- return top-K paths by cumulative relevance

G7 controllers (activated in ruflo 3.6.23+ / 3.6.24)

ADR-095 closed five AgentDB controllers that this plugin's graph traversal can leverage:

  • gnnService — GNN embeddings + relational scoring over the AgentDB causal graph. Augments the pathfinder's semantic_similarity(query, node) term with structurally-aware scoring; nodes that are graph-neighbors of confirmed-relevant nodes get a boost.
  • rvfOptimizer — Quantizes + dedupes vector blocks before persistence. Knowledge-graph indexes commonly have many near-duplicate entity vectors (same class re-exported from multiple modules); rvfOptimizer collapses them transparently.
  • mutationGuard + attestationLog + GuardedVectorBackend — Proof-gated writes to the underlying vector store. Relevant when the graph spans trust boundaries (federated knowledge import) — the attestation chain at .swarm/attestation.db records every mutation for after-the-fact audit.

The yet-pending graphAdapter controller will give this plugin a first-class graph-DB backend (instead of building the graph view on top of AgentDB's flat causal-edge table). Tracked in ADR-095.

Inspect runtime status via the agentdb_controllers or agentdb_health MCP tools.

Verification

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

Architecture Decisions

Related Plugins

  • ruflo-agentdb -- The G7 controllers above ship via this plugin's runtime; install both for full graph + traversal coverage; namespace convention owner
  • ruflo-ruvector -- HNSW indexing for fast semantic search across graph nodes
  • ruflo-adr -- ADR dependency graphs share the same causal edge model

License

MIT