Explore the sophisticated architecture that powers Agentwise's multi-agent orchestration, enabling parallel execution with 30-40% token optimization.
Specialized AI agents
Integrated tools
Optimization rate
Concurrent execution
Central brain coordinating all agent activities
Intelligently assigns tasks to specialized agents
Manages multi-phase project execution
Maintains shared context across all agents
Reduces API token usage by 30-40%
Manages 61 MCP servers for extended capabilities
User initiates command via Claude Code CLI
Validates and processes the command
Analyzes requirements and tech stack
Selects appropriate specialized agents
Distributes tasks to selected agents
Agents work simultaneously
Real-time tracking via WebSocket
Combines outputs from all agents
Syntax, style, and quality checks
Delivers completed project
Agents share a common context pool, eliminating redundant information transfer and reducing overall token consumption.
Only changes are transmitted between agents, not entire contexts, dramatically reducing token usage.
Common queries and responses are cached, preventing duplicate API calls and saving tokens.
Related operations are batched together, reducing overhead and improving efficiency.
{
"runtime": "Node.js 18+",
"language": "TypeScript 5.0",
"framework": "Claude Code Extension",
"monitoring": "WebSocket + Next.js",
"storage": "File System + JSON",
"protocols": "MCP (Model Context Protocol)"
}{
"orchestration": "Custom multi-agent system",
"validation": "TypeScript + ESLint",
"monitoring": "Socket.io + React",
"mcp": "61 integrated servers",
"optimization": "Custom token optimizer",
"persistence": "fs-extra + JSON"
}