# Claude Code Configuration - RuFlo V3 ## Behavioral Rules (Always Enforced) - Do what has been asked; nothing more, nothing less - NEVER create files unless they're absolutely necessary for achieving your goal - ALWAYS prefer editing an existing file to creating a new one - NEVER proactively create documentation files (*.md) or README files unless explicitly requested - NEVER save working files, text/mds, or tests to the root folder - Never continuously check status after spawning a swarm — wait for results - ALWAYS read a file before editing it - NEVER commit secrets, credentials, or .env files ## File Organization - NEVER save to root folder — use the directories below - Use `/src` for source code files - Use `/tests` for test files - Use `/docs` for documentation and markdown files - Use `/config` for configuration files - Use `/scripts` for utility scripts - Use `/examples` for example code ## Project Architecture - Follow Domain-Driven Design with bounded contexts - Keep files under 500 lines - Use typed interfaces for all public APIs - Prefer TDD London School (mock-first) for new code - Use event sourcing for state changes - Ensure input validation at system boundaries ### Project Config - **Topology**: hierarchical-mesh - **Max Agents**: 15 - **Memory**: hybrid - **HNSW**: Enabled - **Neural**: Enabled ## Build & Test ```bash # Build npm run build # Test npm test # Lint npm run lint ``` - ALWAYS run tests after making code changes - ALWAYS verify build succeeds before committing ## Security Rules - NEVER hardcode API keys, secrets, or credentials in source files - NEVER commit .env files or any file containing secrets - Always validate user input at system boundaries - Always sanitize file paths to prevent directory traversal - Run `npx @claude-flow/cli@latest security scan` after security-related changes ## Concurrency: 1 MESSAGE = ALL RELATED OPERATIONS - All operations MUST be concurrent/parallel in a single message - Use Claude Code's Agent tool for spawning agents, not just MCP - ALWAYS spawn ALL agents in ONE message with full instructions via Agent tool - ALWAYS batch ALL file reads/writes/edits in ONE message - ALWAYS batch ALL Bash commands in ONE message ## Swarm Orchestration - MUST initialize the swarm using CLI tools when starting complex tasks - MUST spawn concurrent agents using Claude Code's Agent tool - Never use CLI tools alone for execution — Agent tool agents do the actual work - MUST call CLI tools AND Agent tool in ONE message for complex work ### 3-Tier Model Routing (ADR-026) | Tier | Handler | Latency | Cost | Use Cases | |------|---------|---------|------|-----------| | **1** | Agent Booster (WASM) | <1ms | $0 | Simple transforms (var→const, add types) — Skip LLM | | **2** | Haiku | ~500ms | $0.0002 | Simple tasks, low complexity (<30%) | | **3** | Sonnet/Opus | 2-5s | $0.003-0.015 | Complex reasoning, architecture, security (>30%) | - For Tier 1 simple transforms, use Edit tool directly — no LLM agent needed ## Swarm Configuration & Anti-Drift - ALWAYS use hierarchical topology for coding swarms - Keep maxAgents at 6-8 for tight coordination - Use specialized strategy for clear role boundaries - Use `raft` consensus for hive-mind (leader maintains authoritative state) - Run frequent checkpoints via `post-task` hooks - Keep shared memory namespace for all agents ```bash npx @claude-flow/cli@latest swarm init --topology hierarchical --max-agents 8 --strategy specialized ``` ## Swarm Execution Rules - ALWAYS use `run_in_background: true` for all Agent tool calls - ALWAYS put ALL Agent calls in ONE message for parallel execution - After spawning, STOP — do NOT add more tool calls or check status - Never poll agent status repeatedly — trust agents to return - When agent results arrive, review ALL results before proceeding ## V3 CLI Commands ### Core Commands | Command | Subcommands | Description | |---------|-------------|-------------| | `init` | 4 | Project initialization | | `agent` | 8 | Agent lifecycle management | | `swarm` | 6 | Multi-agent swarm coordination | | `memory` | 11 | AgentDB memory with HNSW search | | `task` | 6 | Task creation and lifecycle | | `session` | 7 | Session state management | | `hooks` | 17 | Self-learning hooks + 12 workers | | `hive-mind` | 6 | Byzantine fault-tolerant consensus | ### Quick CLI Examples ```bash npx @claude-flow/cli@latest init --wizard npx @claude-flow/cli@latest agent spawn -t coder --name my-coder npx @claude-flow/cli@latest swarm init --v3-mode npx @claude-flow/cli@latest memory search --query "authentication patterns" npx @claude-flow/cli@latest doctor --fix ``` ## Available Agents (16 Roles + Custom) ### Core Development `coder`, `reviewer`, `tester`, `planner`, `researcher` ### Specialized `security-architect`, `security-auditor`, `memory-specialist`, `performance-engineer` ### Coordination `hierarchical-coordinator`, `mesh-coordinator`, `adaptive-coordinator` ### GitHub & Repository `pr-manager`, `code-review-swarm`, `issue-tracker`, `release-manager` Any string can be used as a custom agent type — these are the typed roles with specialized behavior. ## Memory & Vector Search ### MCP Tools (use via ToolSearch to discover) | Tool | Description | |------|-------------| | `memory_store` | Store value with ONNX 384-dim vector embedding | | `memory_search` | Semantic vector search by query | | `memory_retrieve` | Get entry by key | | `memory_list` | List entries in namespace | | `memory_delete` | Delete entry | | `memory_import_claude` | Import Claude Code memories into AgentDB (allProjects=true for all) | | `memory_search_unified` | Search across ALL namespaces (Claude + AgentDB + patterns) | | `memory_bridge_status` | Show bridge health, vectors, SONA, intelligence | ### CLI Commands ```bash # Store with vector embedding npx @claude-flow/cli@latest memory store --key "pattern-auth" --value "JWT with refresh" --namespace patterns # Semantic search npx @claude-flow/cli@latest memory search --query "authentication patterns" # Import all Claude Code memories into AgentDB node .claude/helpers/auto-memory-hook.mjs import-all ``` ### Claude Code ↔ AgentDB Bridge Claude Code auto-memory files (`~/.claude/projects/*/memory/*.md`) are automatically imported into AgentDB with ONNX vector embeddings on session start. Use `memory_search_unified` to search across both stores. ## Key MCP Tools (314 available — use ToolSearch to discover) ### Most Used Tools | Category | Tools | What They Do | |----------|-------|-------------| | **Memory** | `memory_store`, `memory_search`, `memory_search_unified` | Store/search with ONNX vector embeddings | | **Claude Bridge** | `memory_import_claude`, `memory_bridge_status` | Import Claude memories into AgentDB | | **Swarm** | `swarm_init`, `swarm_status`, `swarm_health` | Multi-agent coordination | | **Agents** | `agent_spawn`, `agent_list`, `agent_status` | Agent lifecycle | | **Hive-Mind** | `hive-mind_init`, `hive-mind_spawn`, `hive-mind_consensus` | Byzantine/Raft consensus | | **Hooks** | `hooks_route`, `hooks_session-start`, `hooks_post-task` | Task routing + learning | | **Workers** | `hooks_worker-list`, `hooks_worker-dispatch` | 12 background workers | | **Security** | `aidefence_scan`, `aidefence_is_safe` | Prompt injection detection | | **Intelligence** | `hooks_intelligence`, `neural_status` | Pattern learning + SONA | ### Swarm Capabilities - **Topologies**: hierarchical (anti-drift), mesh, ring, star, adaptive - **Consensus**: Raft (leader-based), Byzantine (PBFT), Gossip (eventual) - **Hive-Mind**: Queen-led coordination with spawn, broadcast, consensus voting, shared memory - **12 Background Workers**: audit, optimize, testgaps, map, deepdive, document, refactor, benchmark, ultralearn, consolidate, predict, preload ### Memory Capabilities - **ONNX Embeddings**: all-MiniLM-L6-v2, 384 dimensions — real neural vectors - **DiskANN**: SSD-friendly vector search (8,000x faster insert than HNSW, perfect recall at 1K) - **sql.js**: Cross-platform SQLite (WASM, no native compilation) - **Claude Code Bridge**: Auto-imports MEMORY.md files into AgentDB on session start - **Unified Search**: `memory_search_unified` searches Claude memories + AgentDB + patterns - **SONA Learning**: Trajectory recording → pattern extraction → file persistence ### How to Discover Tools Use ToolSearch to find specific tools: ``` ToolSearch("memory search") → memory_store, memory_search, memory_search_unified ToolSearch("swarm") → swarm_init, swarm_status, swarm_health, swarm_shutdown ToolSearch("hive consensus") → hive-mind_consensus, hive-mind_status ToolSearch("+aidefence") → aidefence_scan, aidefence_is_safe, aidefence_has_pii ``` ## Quick Setup ```bash claude mcp add claude-flow -- npx -y @claude-flow/cli@latest npx @claude-flow/cli@latest daemon start npx @claude-flow/cli@latest doctor --fix ``` ## Claude Code vs MCP Tools - **Claude Code Agent tool** handles execution: agents, file ops, code generation, git - **MCP tools** (via ToolSearch) handle coordination: swarm, memory, hooks, routing, hive-mind - **CLI commands** (via Bash) are the same tools with terminal output - Use `ToolSearch("keyword")` to discover available MCP tools ## Support - Documentation: https://github.com/ruvnet/ruflo - Issues: https://github.com/ruvnet/ruflo/issues