graphx v0.7.0 — it runs itself, and runs anywhere

graphx crosses from "a tool you operate" to "automation that runs itself" — and any workflow is now portable to any machine.

✨ New in v0.7.0

Triggers — workflows that run themselves

triggers:
  - { type: schedule, cron: "0 7 * * *" }              # daily at 7am
  - { type: interval, every: 15m }                      # every 15 minutes
  - { type: webhook, path: "orders", input_from: body } # POST /hooks/orders → body = input

• graphx serve is now a daemon — an async scheduler fires schedule/interval triggers, POST /hooks/{path} runs a workflow with the request body as input, and GET /schedules lists everything with next-fire times.
• Or hand it to the OS — graphx schedule wf.yaml --cron "0 7 * * *" --install writes + enables a systemd user timer (cron → OnCalendar), or --crontab prints a crontab line. No daemon needed for schedule-only jobs.

Export — runs on any machine

graphx export myflow.yaml --docker → a self-contained folder: the workflow + a bundled graphx wheel + requirements.txt (auto-detected [mcp]/[postgres]/[s3] extras) + .env.example (secret names only) + run.py + optional Dockerfile. Installs graphx offline from the wheel, deps from PyPI, credentials from your .env. Verified: runs to completion in a clean venv with no graphx present.

From v0.6

Pregel engine (loops, checkpointing, resume) · natural-language builder (both engines) + point-at-any-endpoint · 12 node types · resilience · secret:// credentials that never leak · 12 connectors · discovery · OpenAPI scaffolding · Textual TUI · FastAPI + SSE.

250 tests, ruff-clean, Python 3.12+.

Install

pip install -e ".[tui,mcp,server]"
graphx tui