Beyond rigid workflows. Autonomous Agent Swarms.

Static decision trees fail the moment a caller pivots mid-sentence. AnserTech Agent Swarms dynamically delegate, query, verify consensus, and hand off voice telephony with sub-10ms latency and shared vector blackboard memory.

6
Active Swarm Nodes
<10ms
Handoff Latency
100%
Context Memory
0.00%
Dropped Handshakes

Live Swarm Topology & Control Deck

Click any agent node to inspect runtime parameters or run simulated handoffs.

Active Swarm Topology: hierarchical
STEP 1 / 6
OBI Swarm Lead
9ms • 120 lines
Aria Reception Desk
14ms • 85 lines
Appointment Specialist
18ms • 45 lines
Care & Knowledge Bot
22ms • 60 lines
Contexia Recall & SMS
12ms • 95 lines
Escalation Sentinel
8ms • 15 lines
Live Swarm Dialogue: Aria Reception DeskSWARM_INTAKE_EVENT

Namaste! Welcome to Apex Dental & Surgical Clinic. How may we assist your appointment today?

OBI Swarm Lead

Autonomous Coordinator & Router

coordinator
Inference EngineGemini 2.5 Flash Telemetry
Sub-Agent Mission

Parses caller acoustic tone and semantic intent, delegates sub-tasks to specialists, and maintains continuous context synthesis.

Registered Swarm Tools
intent_classifiertask_delegatorconsensus_evaluatormemory_bus_writer
Swarm Event Trace Bus
STATUS 200 OK
// Event Payload [Step 1]
> SWARM_INTAKE_EVENT
from: "aria-inbound"
to: "obi-core"
data: { "intent": "reschedule_and_query", "caller": "+91 98450 12345", "confidence": 0.99 }
Distributed Memory Sync: ActiveLoss: 0.00%

Legacy Linear Workflows vs. AnserTech Agent Swarms

Why modern voice front desks require decentralized multi-agent orchestration rather than single-path decision trees.

Legacy Sequential Workflows

Brittle Architecture
  • Single-Failure Bottlenecks: If a node times out or fails, the whole conversation crashes or loops.
  • Rigid Conditional Logic: Cannot handle sudden topic shifts (e.g. caller asking for prices while rescheduling).
  • Audio Handshake Disconnects: Transferring between sub-flows creates clicks, delays, or lost caller context.

AnserTech Autonomous Swarms

Resilient Topology
  • Shared Blackboard Memory: All agents query and update a shared Redis vector state bus simultaneously.
  • Dynamic Delegated Handshakes: Aria passes scheduling to TableBooker while remaining in active voice synthesis.
  • Byzantine Consensus Guardrails: Critical database writes require dual-agent agreement before execution.

DevOps Deployment & Event Bus Specifications

Standardized Docker, Redis Pub/Sub, and WebSocket protocols ready for infrastructure deployment.

version: '3.9'

services:
  swarm-coordinator:
    image: ansertech/swarm-coordinator:latest
    environment:
      - SWARM_TOPOLOGY=hierarchical_mesh
      - REDIS_EVENT_BUS_URL=redis://redis-cluster:6379/0
      - VECTOR_BLACKBOARD_URL=http://qdrant:6333
      - MAX_CONCURRENT_SWARMS=2500
      - ZERO_DROP_HANDSHAKE=true
    ports:
      - "8000:8000"
    deploy:
      replicas: 4
      resources:
        limits:
          cpus: '2.0'
          memory: 4096M

  swarm-specialist-workers:
    image: ansertech/swarm-specialist:latest
    environment:
      - SPECIALIST_ROLES=intake,booking,knowledge_rag,outbound_crm
      - WORKER_CONCURRENCY=32
      - LLM_GATEWAY_POOL=http://llm-gateway:8080
    deploy:
      replicas: 8
      restart_policy:
        condition: on-failure

Deploy Autonomous Voice Swarms in Your Business

Connect your telephone trunks, calibrate your specialist agents, and let OBI orchestrate your entire front desk autonomously.