Running Flue as a service, AI Agents

Flue Agency Implementation, Building Durable AI Agent Services

Learn how to architect, deploy, and monetize AI agent solutions for clients using Flue's React-like hooks API and multi-channel connectivity. This course covers building production agents with persistent state, connecting them to Slack, Teams, Discord, and GitHub, and structuring retainer-based delivery around agent monitoring and optimization.

Open the decision record for Flue

What does running Flue for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Not published, Flue is open-source with no listed pricing tiers; the agency must supply its own infrastructure, LLM API, and labor cost inputs.
Time to first value
Not published
Payback
Not modeled
Guided implementation
8 hours

Is Flue worth running as a client service?

Flue is a high-complexity, open-source TypeScript framework that supports durable, stateful agents with multi-channel connectivity and observability, making it suitable for technical agencies delivering bespoke agent solutions. Vendor pricing, time_to_value, client price, labor, usage, overhead, and expected volume are not published, so agency delivery economics and ROI cannot be modeled from the supplied data.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • LLM provider API keys (Anthropic, OpenAI, or other Pi-supported providers)
  • TypeScript development environment for Flue agent code
  • One or more channel integrations such as Slack, Teams, Discord, or GitHub
  • Persistence layer: Postgres, MySQL, MongoDB, Redis, or Supabase
  • Deployment target: Node.js, Cloudflare, Docker, AWS, Railway, Render, Fly, or Vercel

People and inputs

  • Engineers fluent in TypeScript and React-like hooks (usePersistentState, useModel)
  • DevOps capability for sandboxed execution, durable execution recovery, and multi-runtime deployment
  • Observability setup for OpenTelemetry, Braintrust, or Sentry trace export
  • MCP server configuration knowledge to connect agents to thousands of external tools

Included with the course

7 working documents for delivering this service.

  • Flue Agent Architecture Worksheet for Client Scopingworksheet
  • Multi-Channel Deployment Checklist: Slack, Teams, Discord, GitHubchecklist
  • Agent State Persistence and Resumption SOPsop
  • Flue Retainer Service Pricing Template by Complexity Tiertemplate
  • Production Monitoring Setup Guide: OpenTelemetry and Braintrust Integrationguide
  • Flue Workflow Orchestration and Tool Definition Checklistchecklist
  • Client Handoff Documentation Template for Deployed Agentstemplate

Listed by name. These documents are not yet published as individual downloads.