Generic open-source automation framework for the AI-agent era: automated testing and agentic process automation across web, desktop, and Citrix.
Project description
flowproof
A generic open-source automation framework for the AI-agent era: automated testing and agentic process automation across web, desktop, and Citrix.
Agents author, a deterministic engine executes. A flow is described in
YAML with natural-language steps, recorded once against the live app, and
replayed deterministically in CI with zero LLM calls. Built agent-native:
every operation returns structured results a program can reason over, and
agents can drive record/run/get_trace/heal over MCP
(pip install flowproof[mcp], run flowproof-mcp).
# calc.flow.yaml
name: Add two numbers
app: calc
steps:
- Type 5
- Press plus
- Type 3
- Press equals
- assert: display shows 8
from flowproof import Flow
flow = Flow("calc.flow.yaml")
flow.record() # performs the flow live, writes the trace
result = flow.run() # deterministic replay -> RunResult
assert result.passed
Or from the shell: flowproof record calc.flow.yaml, then
flowproof run calc.flow.yaml (add --json for the structured report).
The wheel bundles the Rust engine; no separate install. Targets: web
(headless Chromium, any OS), Windows desktop via UI Automation, sap
(SAP GUI Scripting), vision (pixels-only for Citrix/RDP), and api
(no UI — HTTP/SQL assertion flows, any OS).
Status: early, in active development (v0.2). Record→replay, model-grounded authoring, healing with reviewable diffs, suites, run recordings, and the MCP server all work and are tested in CI.
Docs and source: github.com/automators-com/flowproof
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