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Autonomous AI AgentsFeaturedDec 2024 → Present

OpenClaw Multi-Channel Orchestration

Autonomous multi-channel AI platform that unifies chat, voice, and email behind microservices and an API gateway, with shared context across channels.

OpenClawFastAPIWebRTCWebSocketRabbitMQPostgreSQLRedisDockerAWS
Channels
3 unified
Tenant onboard
<1 day
Cross-channel memory
100%

Problem & Solution

The Problem

Customers interact with support over chat, voice, and email — but most AI stacks are channel-specific, forcing context loss and inconsistent answers when a user switches channels mid-conversation.

The Solution

Built a microservices-based orchestration platform (OpenClaw) behind a central API gateway. A shared session + memory layer keeps context consistent across chat, voice, and email, and the agent uses channel-appropriate tools for each surface.

System Architecture

End-to-end flow from intake to outcome

  1. 01

    API Gateway

    FastAPI

    Single entry point that authenticates and routes per-channel traffic.

  2. 02

    Channel Adapters

    WebRTCWebSocketSMTP

    Per-channel microservices normalize chat, voice, and email into a common event stream.

  3. 03

    Shared Memory

    RedisPostgreSQLVector DB

    Cross-channel session store and vector memory keep state consistent across surfaces.

  4. 04

    OpenClaw Orchestrator

    OpenClawLangChain

    Central agent that dispatches tasks across services and channels with shared context.

Engineering Challenges & Wins

Optimization results and engineering tradeoffs

Optimization Results

  • Single API gateway fronts chat, voice, and email with shared auth + routing.
  • Unified session and memory layer keeps context when users switch channels.
  • Microservices architecture with per-channel adapters and a central orchestrator.

Engineering Challenges

  • Normalizing latency and message structure across fundamentally different channels.
  • Keeping memory consistent under concurrent updates from multiple channels.

More case studies

Explore other production systems I've engineered end-to-end.

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