Multi-Agent Platform
Our production-ready platform for intelligent agent orchestration, featuring advanced pruning strategies and real-time optimization for enterprise-scale AI systems.
Platform Architecture
A modular, scalable architecture designed for enterprise deployment.
Capability Index
Vector-based agent scoring with domain-specific sharding for optimal performance
- Vector Search (HNSW/IVF)
- Domain Sharding
- Real-time Updates
- Scalable Storage
Orchestrator
Central coordination layer for intelligent agent selection and request routing
- Multi-strategy Support
- Load Balancing
- Fault Tolerance
- Metrics Collection
Pruning Engine
Advanced pruning strategies with static and dynamic policy selection
- Static Threshold
- Static Ratio
- Dynamic RL Policy
- Safety Constraints
How It Works
From query to response, our platform optimizes every step of the agent selection process.
Query Reception
Incoming queries are analyzed to extract task requirements and context.
Capability Matching
The Capability Index quickly identifies relevant agents based on task requirements.
Intelligent Pruning
Pruning strategies filter candidates to optimal subset using static or dynamic policies.
Agent Execution
Selected agents process the query in parallel or sequential mode based on requirements.
Response Aggregation
Results are collected, validated, and returned with quality metrics.
Platform Performance
Enterprise-grade performance metrics from production deployments.
Average Latency
Query response time
Availability
System uptime
Concurrent Queries
Requests per second
Agents Supported
Scalable architecture
Seamless Integration
Deploy our platform with your existing infrastructure using our comprehensive SDKs and APIs.
Python
Native Python SDK with async support and comprehensive type hints
from maccp import Orchestrator
orch = Orchestrator(
pruning_mode="dynamic"
)
results = await orch.select(task)JavaScript
Modern JavaScript/TypeScript SDK for Node.js and browser environments
import { Orchestrator } from "@maccp/sdk";
const orch = new Orchestrator({
pruningMode: "dynamic"
});
const results = await orch.select(task);REST API
Simple REST API for easy integration with any programming language
POST /api/v1/select
{
"task": "your query",
"pruning_mode": "dynamic"
}Ready to Deploy?
Get started with our platform today and transform your AI agent infrastructure.