1flowbase
From AI Gateway to a Complete Application System.
1flowbase is a low-code native backend foundation built on an AI gateway. Beyond core AI gateway features, it lets you build your own application system on top of the AI chat data stored in the gateway.
An Application Foundation Designed for Agents
1flowbase is API-first by design. If a traditional GUI can take over the entire system through APIs, then turning those APIs into MCP lets an Agent take over everything as well.
Technical Architecture
1flowbase is a self-hosted AI Gateway and AI application runtime.
Start by unifying model access, retain conversation data in the same runtime, and keep building Workflows, APIs, business data, and React applications on top of it. Every capability is API-based and can be exposed to Agents through MCP to understand, build, and manage.
Dispatch intelligence, retain data, build applications.
Philosophy
- The gateway is not the end: Full AI conversations passing through the gateway are stored in PostgreSQL, becoming a reusable data asset for cost analysis, model quality evaluation, prompt / routing optimization, and business system development.
- A "model" can be a Workflow: High-capability models plan, judge, and audit; low-cost models execute. The combination is published as a single virtual model, and a model can itself be used as a Tool by another model.
- Three protocols, one entry point: Conversion between Anthropic Messages, OpenAI Chat Completions, and OpenAI Responses, so your application layer doesn't change when providers do.
- Designed for Agents: Every runtime operation available in the GUI is built on APIs, which are exposed to Agents via MCP. The MCP Gateway uses progressive
list / get / calltool discovery instead of stuffing every Tool into the context at once. - Low-code efficiency + native React freedom: Business tables can be created dynamically; UIs are written as React code blocks with access to the entire React ecosystem, not a closed drag-and-drop editor.
Human → GUI ─┐
├→ API → AI Gateway / Workflow / Data / React UI → AI Application
Agent → MCP ─┘
Quick Start
Docker
Deployed with Docker — no manual environment setup required.
Linux / macOS
curl -fsSL https://raw.githubusercontent.com/taichuy/1flowbase/main/scripts/shell/docker-deploy.sh | sh
Windows PowerShell
irm https://raw.githubusercontent.com/taichuy/1flowbase/main/scripts/powershell/docker-deploy.ps1 | iex
Windows CMD
powershell -NoProfile -ExecutionPolicy Bypass -Command "irm https://raw.githubusercontent.com/taichuy/1flowbase/main/scripts/powershell/docker-deploy.ps1 | iex"
Follow the prompts to finish configuration and start 1flowbase. Storing full conversations can generate large data volumes; for high-traffic production, plan storage capacity, retention, backup, and compliance in advance.
Git
Requirements
- Node.js
>=24.0.0 - pnpm
12.11.2(runcorepack enableandcorepack install --global [email protected]) - Rust stable toolchain (Cargo), version
1.99or newer - Docker with Docker Compose (for middleware such as PostgreSQL)
Start
Run from the repository root:
git clone https://github.com/taichuy/1flowbase.git
cd 1flowbase
node scripts/node/dev-up.js
dev-up starts the Docker middleware, installs frontend dependencies, builds and runs the backend, and starts the frontend. Other common commands:
node scripts/node/dev-up.js status
node scripts/node/dev-up.js stop
node scripts/node/dev-up.js restart --frontend-only
node scripts/node/dev-up.js restart --backend-only
Logs are written to tmp/logs/. For more scripts, see scripts/README.md.
Comparison
Roadmap
- Out-of-the-box application templates (AI Gateway, multi-model router, enterprise AI Gateway, AI education platform, Agent application backend)
- Better official MCP Tool descriptions so Coding Agents like Codex can build applications without reading the source code
- Lifecycle management for AI conversation data
Tutorials
- Make GLM-5.2 See Images in Claude Code with 1flowbase
- Fusion-Style Workflow: Publish a Multi-Model Review Panel as an Observable Virtual Model
- 1flowbase Wiki
Repository Layout
web/ Frontend root, powered by pnpm + Turbo
api/ Rust backend workspace
api/apps/ Backend service entry points
api/crates/ Shared backend crates
api/plugins/ Plugin source workspace, HostExtension manifests and templates
docker/ Local middleware orchestration and self-hosted service stack
scripts/ Repository-level development, testing, verification, and debugging scripts
Contributing
Community contributions are very welcome. Before submitting a Pull Request, please run the following verification script:
node scripts/node/verify.js repo
Development guidelines:
Friends
- Linux.do - Learn AI, on L Station.
- openai - Thanks to the early OpenAI Developer Program for supporting this project.
- Aionui - Remotely control AI from your phone.
- OfficeCLI - Office suite designed for AI Agents.
- deepseek-pp - DeepSeek web chat browser extension.
- MuseAI - Local AI companion, text adventure, and interactive fiction app.
- FrontAgent - AI Agent system designed for frontend engineering.
- RedBox - Localized AI creation workspace for Xiaohongshu creators.
License
This project is licensed under Apache-2.0.
Contributors
Star History
If you want Agents to build and operate self-hosted applications across AI, MCP, application backends, and React interfaces — give 1flowbase a Star.
