Localized · Self-hosted · No paid tiers · No enterprise gates · No vendor lock-in
Roadmap · Governance · Contributing · Code of Conduct
What is Qadam Flow?
Qadam Flow is an open-source workflow automation platform — connect your apps and services with visual flows, no code required. It is built on the Activepieces MIT core, with all enterprise-licensed code removed, so every feature is free and open.
It is the first project of AI Qadam Build — open infrastructure that Central Asia's AI community owns and runs itself.
Why it exists
The region runs its automation on foreign SaaS — billed in dollars, hosted abroad, in languages that aren't ours, with the features that matter (SSO, RBAC, audit logs) locked behind enterprise paywalls. Qadam Flow is the region's own: localized, self-hosted, data kept local, gates removed. The point isn't "a free Zapier" — it's independence.
Status
Early, and honest about it. The Activepieces MIT core is forked and cleaned. Localization and regional integrations are the current focus; enterprise features (SSO / RBAC / audit) are built as real deployments need them, not on a fixed schedule — see the Roadmap. Maintained by AI Qadam — founder-stewarded for now, community-owned by design (DCO, no copyright assignment).
Quick start
Requires Docker. One line, no clone, no build:
curl -fsSL https://flow.aiqadam.org/run.sh | sh
This drops a fresh ./qadam-flow/ next to your shell, pulls
ghcr.io/aiqadam/qadam-flow:slim (the platform plus the 27 core qadams;
a flow that already pins another community qadam fetches it from npm,
but the builder's "add a step" list only offers qadams the instance
already knows about — see
Image flavours), generates
random secrets in .env, brings up postgres + redis + app + workers, and
prints the URL when the API is ready. Works on macOS (Docker Desktop),
Linux (dockerd), and Windows via WSL2.
Then open http://localhost:8080/sign-up — the first signup owns the
platform.
Env knobs (export before piping into sh):
| Variable | Default | Purpose |
|---|
QADAM_FLOW_DIR | ./qadam-flow | install directory |
QADAM_FLOW_PORT | 8080 | host port for the app |
QADAM_FLOW_IMAGE | ghcr.io/aiqadam/qadam-flow:slim | image / tag to run (:fat bundles every community qadam) |
QADAM_FLOW_REF | main | git ref for the compose file |
QADAM_REGISTRY_URL | https://registry.npmjs.org | registry for custom (non-@aiqadam/*) qadams |
QADAM_REGISTRY_TOKEN | (none) | bearer token for a private registry |
Prefer cloning? git clone … && cd qadam-flow && docker compose up -d
does the same thing — the public docker-compose.yml already points at
the registry image.
Features
- Visual flow builder — no code required
- 238 qadams (27 core + 211 community) inherited from the Activepieces ecosystem
- Any qadam can be exposed as an MCP server — any MCP-compatible AI agent can call integrations as tools
- Self-hosted: your data stays on your infrastructure
- Free SSO / RBAC / audit logs — on the roadmap, never behind a paywall
- Multilingual: UI in Russian, Uzbek, Kazakh, English (in progress)
How it's built
- Agent-first — much of the maintenance (piece scaffolding, localization, tests) is done with AI agents and reviewed by maintainers. Qadam Flow is also a living testbed for how agentic development maintains real software.
- Dogfooded — it runs in production, so it's shaped by real use, not a feature checklist.
- Community-owned — contributions are under the DCO (you keep your copyright) and recorded in the AI Qadam reputation graph. See Governance.
Contributing
You don't have to be an expert — you have to care. The easiest, highest-impact start:
- Pieces — build an integration the region needs (Payme, Click, Uzum, Kaspi, local APIs)
- Localization — translate the UI; no code required
- Test & report — run it, break it, file issues
- Code — pick a
good first issue
Read CONTRIBUTING and the Code of Conduct first. Sign your commits with -s (DCO).
Community: AI Qadam Telegram / Discord · aiqadam.org
Development
npm start # setup dev environment + start all services
See CONTRIBUTING.md for the full dev setup, and AGENTS.md for architecture overview and coding conventions.
License
MIT. Based on Activepieces (https://github.com/activepieces/activepieces), © 2020–2024 Activepieces Inc. Qadam Flow additions © 2026 The Qadam Flow Authors. See NOTICE for the derivative-work statement.
An AI Qadam Build project · #AIQadam
The AI Qadam name and footprint mark are trademarks of the AI Qadam Community, used by this official project under the brand-use policy. Code is MIT.
