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Fim One

Open-source agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.

Install

$git clone https://github.com/fim-ai/fim-one

Install command taken from the project's README or registry entry. Always review code before running it.

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All-in-One Agent Platform for Global × China Enterprises. Wire every system you already run — global SaaS to the China stack — through one agent core.

🌐 Website · 📖 Docs · 📋 Changelog · 🐛 Report Bug · 💬 Discord · 🐦 Twitter · 🏆 Product Hunt

[!TIP] ☁️ Skip the setup — try FIM One on Cloud. A managed version is live at cloud.fim.ai — no Docker, no API keys, no config. Sign in and start connecting your systems in seconds. Early access, feedback welcome.


Overview

Global enterprises run a sprawl of systems that don't talk to each other — ERP, CRM, OA, HR, finance, databases, IM platforms across regions. FIM One is the all-in-one agent platform that wires every system you already run into one agent core — global SaaS on one side, the full China stack (Feishu, WeCom, DingTalk, DM, Kingbase, etc.) on the other. One brain. Every system. Global SaaS × China Stack.

Mode What it is Access
Standalone General-purpose AI assistant — search, code, KB Portal
Copilot AI embedded in a host system's UI iframe / widget / embed
Hub Central AI orchestration across all connected systems Portal / API
graph LR
    ERP <--> Hub["🧠 FIM One Agent Core"]
    Database <--> Hub
    Lark <--> Hub
    Hub <--> CRM
    Hub <--> OA
    Hub <--> API[Custom API]

Screenshots

Dashboard — stats, activity trends, token usage, and quick access to agents and conversations.

Agent Chat — ReAct reasoning with multi-step tool calling against a connected database.

DAG Planner — LLM-generated execution plan with parallel steps and live status tracking.

Demo

Using Agents

Using Planner Mode

Quick Start

Docker (recommended)

git clone https://github.com/fim-ai/fim-one.git
cd fim-one

cp example.env .env
# Edit .env: set LLM_API_KEY (and optionally LLM_BASE_URL, LLM_MODEL)

docker compose up --build -d

Open http://localhost:3000 — on first launch you'll create an admin account. That's it.

docker compose up -d          # start
docker compose down           # stop
docker compose logs -f        # view logs

Local Development

Prerequisites: Python 3.11+, uv, Node.js 18+, pnpm.

git clone https://github.com/fim-ai/fim-one.git && cd fim-one

cp example.env .env           # Edit: set LLM_API_KEY

uv sync --all-extras
cd frontend && pnpm install && cd ..

./start.sh dev                # hot reload: Python --reload + Next.js HMR

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