Most "AI automation" is a chat window you babysit, or a no-code graph that bills you per task and can't be audited. Floom is the loop engineering harness: a real runtime where a worker is a readable package, it runs on a loop without you watching, and every execution leaves logs, outputs, tool calls, approvals, and a replay you can trust. Used natively from Claude Code and Codex via MCP or CLI.
Deploy A Python Script As An App, REST API, And MCP Tool
Deploy Python functions as web apps with auto-generated UI, REST API, and shareable links.
FLOOM_BASE_URL, FLOOM_API_KEY
ตรวจสอบล่าสุด
2026-11-09
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Floom lets an agent or developer turn a Python script into a worker that non-developers can run from a UI, other systems can call through REST, and AI agents can operate through MCP.
Read BUILDING.md for the full copy-paste worker contract.
What Floom Is: Worker Runtime For Background AI Workers
Floom turns repeatable knowledge-work automations into background AI workers. A worker can run manually, on a schedule, from a webhook, or from an app event. The runtime keeps the worker definition, input schema, output schema, logs, tool calls, approvals, and run history inspectable.
Use Floom when you want an AI agent to do recurring work without turning that work into an opaque chat thread, a hard-to-diff automation graph, or a one-off script with no supervision.
Build And Deploy An AI Worker From A Folder
AI agents and developers can build a Floom worker from a folder:
After deployment, Floom exposes the worker in the UI, through REST endpoints, and through the Floom MCP server for AI clients. For the complete copy-paste build contract, read BUILDING.md.
What A Worker Looks Like
A worker is a folder-backed job definition. Describe the work in plain English (SKILL.md) or hand it a script (run.py), declare its tools, trigger, memory, and secrets in worker.yml, and Floom runs it.
# workers/github-digest/worker.yml (abbreviated)
name: github-digest
description: "Every morning at 9am, send a digest of unread GitHub PRs and open issues."
exec:
entry: SKILL.md # plain-English agent; or run.py for a script
trigger:
type: schedule
cron: "0 9 * * *" # also: manual, webhook, Composio event
connections:
- app: github # the only tools this agent is allowed to call
allowed_tools: [GITHUB_FIND_PULL_REQUESTS, GITHUB_LIST_ASSIGNED_ISSUES]
You are a GitHub assistant generating a daily PR + issues digest.
Fetch the user's open PRs and assigned issues, compile a markdown digest
with Action items, and finish_with_outputs({ "digest": "<markdown>" }).
It runs at 9am, calls only the two GitHub tools it declared, and writes digest.md to a run you can open, replay, or roll back:
The full manifest adds schema_version, title, version, and declared outputs. See workers/ for runnable examples, BUILDING.md for a minimal deployable worker, and the agent cookbook.
AgentDriver in the API process (trusted bundles only)
not microVM-isolated by policy
declared connections, allow-listed
approval gate when declared
Sandboxes allow public network egress by default and block private/internal ranges; a stricter allowlist is optional. Full trust model: ARCHITECTURE.md.
Worker Runtime At A Glance
What it is
Self-hosted runtime to create, run, and supervise background AI agents
git clone https://github.com/floomhq/floom.git
cd floom
./scripts/setup.sh
# edit apps/api/.env: add a model provider key and E2B_API_KEY
./scripts/dev.sh
Windows PowerShell
git clone https://github.com/floomhq/floom.git; cd floom
.\scripts\setup.ps1
# edit apps\api\.env: add a model provider key and E2B_API_KEY
.\scripts\dev.ps1
Requires Python 3.11+, Node.js 20+, Git, a model provider key, and an E2B key from e2b.dev. Open http://localhost:3000 and sign in - no auth secret for local dev, and the example agents are seeded on first boot.
Script workers (.py/.sh/.js/.ts) run in an E2B sandbox microVM by default: isolated dependencies, no host process access, contained resources. TypeScript workers use the Node runtime with tsx (npx --yes tsx run.ts) and the same inputs.json/result.json contract as Python workers. A bundle that dumps os.environ inside the sandbox sees only sandbox metadata - FLOOM_SECRET, provider keys, and E2B_API_KEY are all absent. Agent workers (SKILL.md) run through the API-hosted AgentDriver tool loop and are governed by their declared connections and the approval gate; the current single-tenant policy permits only trusted agent bundles on that path. There is no in-process local script runner. Full trust model: ARCHITECTURE.md.
Data handling, connected-account safeguards, retention boundaries, and hosted
Cloud legal surfaces are summarized in docs/DATA-RETENTION.md.
Architecture
apps/web Next.js + TypeScript + Tailwind + shadcn/ui
apps/api FastAPI + SQLite + Pydantic
apps/mcp MCP server + CLI
workers/ Worker folders (worker.yml + run.py or SKILL.md)
data/ SQLite DB + run artifacts
FAQ: AI Agents, MCP, And Deploying Python Scripts
What is Floom in one sentence?
Floom is an open-source runtime for background AI workers that run from versioned worker folders with declared inputs, outputs, triggers, tools, approvals, logs, REST API access, UI access, and MCP access.
Is Floom an MCP server?
Floom includes an MCP server, but it is more than an MCP server. The MCP endpoint lets agent clients create, run, watch, inspect, and manage Floom workers. The Floom runtime is the part that executes those workers, records runs, manages approvals, and exposes the UI and REST API.
Can an AI coding agent build a Floom worker from this repo?
Yes. Read BUILDING.md first. The build contract is a workers/<id>/ folder with worker.yml, run.py or SKILL.md, and optional requirements.txt, then floom workers validate and floom workers push.
Can I deploy a Python script as an app, REST API, and MCP-accessible worker?
Yes. Put the script in workers/<id>/run.py, declare its inputs and outputs in worker.yml, deploy it with floom workers push, and Floom makes it runnable from the UI, REST API, and MCP tools.
What is the difference between script mode and agent mode?
Script mode runs deterministic code such as Python, shell, or Node in the sandbox. Agent mode runs a SKILL.md prompt through the agent loop with declared tools and output writers.
Does Floom replace Zapier or Make?
Floom is for teams that want versioned worker folders, sandbox execution, approval gates, logs, outputs, replay, rollback, REST API access, and MCP access. Zapier and Make are visual automation products with their own vendor runtimes.
Does Floom replace hand-written MCP tools?
Floom can expose work through MCP without making you hand-roll the whole app runtime. A hand-written MCP server gives an agent tools; Floom gives the worker a runtime, UI, API, triggers, outputs, logs, approvals, and MCP tools.
Docs
Getting started - why Floom exists, first run, first agent, safe self-hosting checklist.
Licensing - Floom's MIT license and third-party dependency license notes.
Contributing
Contributions are welcome. See CONTRIBUTING.md for local setup, the first-contribution map, and PR guidelines. Quick local checks from the repo root:
npm run test:api
npm run lint:web
npm run test:web
npm run test:mcp
Security
To report a vulnerability, follow SECURITY.md and report it privately rather than opening a public issue.
License
MIT License (c) 2026 Floom contributors. You may use, copy, modify, merge, publish, distribute, sublicense, and sell copies of Floom, subject to the MIT license notice and warranty disclaimer.
