Build and orchestrate distributed AI workflows
Quelm is a distributed workflow platform where AI agents execute visually composed pipelines in real time with retries, orchestration, dependency resolution, and live observability built in.
Agent Nodes
Drag onto canvas
LLM Agent
Prompt + reasoning
HTTP Agent
REST API requests
Transform Agent
Shape workflow data
Webhook Agent
Trigger external apps
Workflow Running
3 active nodes • 1 completed
Research Company
LLM Agent
Analyze company websites and generate structured business insights.
Summarize Output
Transform Agent
Convert raw findings into concise markdown summaries and structured output.
Notify Slack
HTTP Agent
Send execution summaries to the engineering Slack channel.
Node Configuration
Configure selected node
Prompt Template
Research the company website and summarize: products, funding, team size, and market positioning.
Model
Temperature
Realtime
Workflow orchestration
Distributed
Worker architecture
Fault-Tolerant
Execution pipeline
Extensible
Agent system
Designed for modern AI orchestration
Quelm combines distributed systems architecture with AI-native workflow tooling to provide a resilient execution platform for autonomous pipelines.
Visual Workflow Builder
Compose distributed AI workflows visually with drag-and-drop nodes and dependency graphs.
Modular AI Agents
Plug in LLM, HTTP, Transform, and custom agents without touching orchestration logic.
Live Run Monitoring
Watch every workflow execute in real time with live node status updates and streaming events.
Distributed Workers
Scale horizontally with independent worker processes powered by BullMQ and Redis.
Automatic Retries
Built-in exponential backoff, dead-letter queues, and fault-tolerant execution.
Dependency Resolution
Parallel execution, sequential chains, and fan-out flows handled automatically.
Distributed by design
Under the hood, Quelm orchestrates distributed task execution through Redis queues, BullMQ workers, event-driven orchestration, PostgreSQL persistence, and real-time observability streams.
BullMQ queues with exponential backoff
Event-driven downstream task dispatch
Persistent workflow execution history
Worker heartbeats and live health monitoring
Workflow Builder
Visual orchestration layer
Redis + BullMQ
Distributed task queues
Workers
Parallel execution agents
PostgreSQL
Execution persistence
Build resilient AI pipelines
Orchestrate distributed workflows, autonomous agents, and realtime execution pipelines with Quelm.