Connect Botpress and GitHub — AI-native workflow automation

Build multi-step AI automations that flow through Botpress and GitHub — and chain in 1000+ other apps when the workflow needs them. One instruction, many steps, every API call run by AI. No code, no flowcharts, self-healing.

Botpress and GitHub are two anchors of a much bigger automation. Definable Workflow chains your AI layer, your dev workflow, and as many other tools as the job needs into a single multi-step flow — built, executed, and verified by AI. Describe the outcome; Workflow plans the steps, runs every API call, branches on conditions, fans out in parallel where useful, retries on failure, and self-heals when an upstream API shifts shape.

What you can automate between Botpress and GitHub

6 ways to automate Botpress + GitHub

  • When a model output is generated in Botpress, file a tracked issue in GitHub
  • When a tool call completes in Botpress, post a status update in GitHub
  • When a pull request opens in GitHub, route the output to the right system in Botpress
  • When a build fails in GitHub, log the generation in Botpress
  • When a generation is rated in Botpress, kick off a follow-up job in GitHub, and log the result in a structured record for team review
  • When an evaluation finishes in Botpress, page the right responder in GitHub, then send a notification to the assigned owner with the full context

Most automation tools run code. Workflow runs on AI.

Type it, done.

Create any automation by describing it in plain language. No flowcharts, no drag-and-drop wiring, no developer required.

AI builds it AND runs it.

Other platforms use AI to generate brittle code that runs offline. Workflow's entire execution layer is AI — it interprets, decides, and acts step by step.

Self-healing by design.

Every step is monitored by a verification layer. If something fails — a rate limit, an unexpected response, a skipped condition — Workflow detects it, corrects it, and reruns automatically.

Cross-tool orchestration.

Multi-step, event-driven, condition-based flows across Botpress, GitHub, and 1000+ other tools — all from one instruction.

How Definable Workflow automation works — step by step

  1. 1

    Describe your workflow

    Type what you want to happen between Botpress and GitHub. No setup wizard.

  2. 2

    Workflow builds it automatically

    Definable maps your instruction to the right actions across both tools. You see the plan before it runs.

  3. 3

    AI executes every step

    Workflow runs end-to-end. It calls Botpress, processes the data, applies your conditions, and fires the GitHub action.

  4. 4

    The verification layer monitors everything

    Every step is verified. If something fails, Workflow catches it, adjusts, and retries — without you lifting a finger.

Example workflow

Trigger

When break down workspace usage by bot in Botpress

Condition

If the Botpress event matches your configured filter

Action

Create issue type in GitHub

Verified

Workflow verified all steps completed successfully.

Frequently asked questions

What can I automate between Botpress and GitHub?

Anything you can describe. Workflow connects Botpress (your AI layer) and GitHub (your dev workflow) through a single instruction. Examples: when a model output is generated in Botpress, file a tracked issue in GitHub; when a tool call completes in Botpress, post a status update in GitHub. There's no limit to step count or branching depth.

Do I need to write code to connect Botpress and GitHub?

No. You describe the outcome in plain language and Workflow assembles the steps, authenticates both tools, runs the flow end-to-end, and self-corrects if anything fails.

What happens if Botpress or GitHub returns an unexpected response?

Workflow has a verification layer on every step. If a response is malformed, an API rate-limit hits, or a condition is unmet, Workflow detects it, adjusts, and reruns the step automatically — without breaking the flow.

How is this different from drag-and-drop automation tools?

Most automation tools generate static workflows that run brittle code. Workflow is AI-native: the execution layer interprets each step at runtime, so it adapts when Botpress ships an API change or GitHub returns a new field shape. You don't maintain it.

How long does it take to set up?

Minutes. Authenticate Botpress and GitHub, type what you want to happen, review the plan Workflow generates, and start running.

Your workflows. Built by AI. Run by AI. Fixed by AI.

Stop maintaining automations. Start describing outcomes. Workflow handles everything between Botpress, GitHub, and your entire stack.

← All Botpress integrations