- name
- agentic-flow-quickstart
- description
- Quick start guide for agentic-flow - initialize, configure, and run
- version
- 1.0.0
- invocable
- true
- author
- agentic-flow
- capabilities
- ["initialization","configuration","mcp_integration"]
# Agentic Flow Quickstart
Initialize and configure agentic-flow for optimal Claude Code integration.
## Quick Commands
```bash
# Initialize new project with agentic-flow
npx agentic-flow@alpha init
# Start MCP server for Claude Code
npx agentic-flow@alpha mcp start
# List available agents
npx agentic-flow@alpha --list
# Run a specific agent
npx agentic-flow@alpha --agent coder --task "implement feature X"
```
## Features
### 🤖 54+ Specialized Agents
- Core: `coder`, `reviewer`, `tester`, `planner`, `researcher`
- Swarm: `hierarchical-coordinator`, `mesh-coordinator`, `adaptive-coordinator`
- GitHub: `pr-manager`, `code-review-swarm`, `issue-tracker`
- SPARC: `specification`, `pseudocode`, `architecture`, `refinement`
### 🧠 ReasoningBank Learning Memory
- Pattern recognition with 84.8% SWE-Bench solve rate
- 150x faster vector search with HNSW
- Cross-session memory persistence
### ⚡ SONA Micro-LoRA Optimization
- 0.05ms inference latency
- 32.3% token reduction
- Real-time learning adaptation
### 🔗 MCP Integration
- 213+ MCP tools available
- Swarm coordination via claude-flow
- GitHub integration via ruv-swarm
## Configuration
Settings are stored in `.claude/settings.json`:
- Hooks for pre/post operations
- Agent definitions
- MCP server configuration
- Statusline customization
## Next Steps
1. Run `npx agentic-flow@alpha init` to set up project
2. Start MCP server with `npx agentic-flow@alpha mcp start`
3. Use Claude Code's Task tool to spawn agents
4. Monitor via statusline and metrics
Auf GitHub ansehen