Production-grade agent orchestration

Orchestrate AI Agents That Actually Ship

Runboard is a production-grade framework for coordinating specialized AI agents through reliable, stateful workflows. Build agent pipelines with approval gates, TDD loops, and multi-model routing — backed by Temporal's durable execution engine.

Request
Planner
Agent 1
Agent 2
Approval
Agent 3
Result
rejection loop

AI agents are powerful. Coordinating them is the hard part.

Fragile Pipelines

Most agent frameworks chain LLM calls with string glue and hope. One failure crashes the whole run. Runboard uses Temporal's durable execution — workflows survive infrastructure failures, retry automatically, and maintain state across days.

No Quality Control

Agents hallucinate. They skip steps. They produce inconsistent output. Runboard introduces formal approval gates, rejection loops, and structured validation at every stage — the same governance patterns used in production software teams.

One Model Fits None

Why use your most expensive model for every task? Runboard routes different agents to different LLM providers — Opus for strategy, Sonnet for implementation, Haiku for iteration, Gemini for documentation. Optimize cost without sacrificing quality.

Features

Built for Production, Not Demos

Temporal-Powered Workflows

Durable execution that survives crashes, handles retries, and maintains state across long-running agent processes. Query workflow state in real-time.

Structured Agent Pipeline

Define agent sequences with explicit handoffs: Orchestrator → Architect → Developer → Tester → Reviewer. Each agent has a clear role, inputs, and outputs.

Approval Gates

Insert human or AI review checkpoints anywhere in your pipeline. Agents can reject work and route it back for revision — creating quality loops, not just chains.

Multi-Provider LLM Routing

Route agents to the best model for their task. Strategic reasoning on Claude Opus. Fast iteration on Haiku. Documentation on Gemini. Full control over cost and capability.

Agent SDK

Build custom agents with a clean Python SDK. Extend AgentBase, define your spec, implement run(). Injected context provides LLM access, file storage, caching, and audit logging.

Workspace Isolation

Every workflow session gets scoped file paths and artifact storage. Agents can produce and consume files without data leakage across sessions or users.

How It Works

From Request to Result in Five Steps

Step 01

Define Your Agents

Create specialized agents using the Python SDK. Each agent declares its capabilities, required inputs, and output format via a Pydantic-validated spec.

Key capabilities:

  • Specify agent roles and responsibilities
  • Configure model routing (GPT-4, Claude, Gemini)
  • Define tool access and permissions
  • Set context windows and memory limits
Architecture

What's Under the Hood

FastAPI Gateway

REST + WebSocket endpoints

Orchestrator

Planner + Synthesizer

Temporal Server

Durable Execution

Agent 1

Worker

Agent 2

Worker

Agent N

Worker

CAB

Gate

PostgreSQL + Redis

Persistent Storage

File Store

S3/GCS

LLM Gateway

Multi-Model

Use Cases

What Teams Build With Runboard

Automated Software Teams

Coordinate agents for product scoping, architecture design, test-driven implementation, code review, and documentation — a full sprint in an automated pipeline with approval gates at every stage.

PlanningDevelopmentReview

Research & Analysis Pipelines

Chain data-fetching agents, analytical agents, and report-generation agents into reliable workflows. Each agent specializes, and Temporal ensures nothing is lost if a step fails.

DataAnalysisReports

Document Processing Workflows

Upload files, extract structured data, run multi-step analysis, generate output documents, and route for human approval — all orchestrated with durable state management.

ExtractionProcessingApproval
Tech Stack

Proven Technologies, Thoughtfully Combined

Python 3.11+

Core language, strict typing

FastAPI

Async REST + WebSocket API

Temporal

Durable workflow orchestration

Pydantic

Data validation at all boundaries

PostgreSQL

Persistent storage

Redis

Caching and pub/sub

Kubernetes

Production container orchestration

Multi-LLM

Anthropic, Google, xAI routing

Pricing

Start Building. Scale When Ready.

Coming Soon

Open Source

Get started with the core framework

  • Core framework
  • Agent SDK
  • Single-model routing
  • Community support
  • Apache 2.0 license
Star on GitHub
Available Now

Enterprise License

Full-featured orchestration for teams

  • Full multi-agent orchestration
  • Multi-provider LLM routing
  • Approval gates and workflow governance
  • Priority support
  • Custom deployment assistance
Contact Us
Coming Soon

Managed Cloud

Fully hosted Runboard infrastructure

  • Fully hosted Runboard
  • No infrastructure management
  • Usage-based pricing
  • SLA-backed support
Join Waitlist

Runboard is built and maintained by Discontinuity Consulting. Enterprise licenses include implementation support, architecture review, and agent development consulting.

Ready to Orchestrate?

Whether you need a license, consulting engagement, or want to discuss how Runboard fits your architecture — we'd like to hear from you.

Or email us directly: hello@discontinuity.ai

Built by engineers with experience shipping AI systems at scale. Currently in active development with enterprise early adopters.