Looking for a Dify alternative? Be clear about these differences first
Before looking for a Dify alternative, be clear about what you want to change: the deployment model, the internal systems you need to connect, whether agents can change data directly, or the license terms. Comparing on these four differences saves more time than trying products one by one. Companies that must run in their own environment, connect DingTalk, WeCom and Feishu, and have people confirm write operations should focus on self-hosting, collaboration-platform integration and human confirmation.
People searching for a "Dify alternative" usually are not unhappy with a product in general. They have hit something specific: the deployment model does not meet their requirements, a system they need cannot be connected, or the license does not fit how they want to use it. So before looking for an alternative, be clear about what you want to change. Comparing on the four differences below saves more time than trying products one by one.
This article does not rank products; it only covers what to compare. For the main types of platform, start with choosing an enterprise agent platform: self-hosted, SaaS and low-code.
1. Deployment: where your data lives
First check whether the platform can run on your own servers or private cloud and keep data inside the company, then how much effort deployment takes: one command, or a dedicated operations team. For many companies, data that cannot leave the internal network is the main reason to switch.
2. Systems: can it reach the ones you actually use
An agent is only useful if it can reach the systems your company really uses. List them: collaboration platforms (DingTalk, WeCom, Feishu), global SaaS, internal OA, ERP and databases. For each candidate, check how it connects and whether it can read only or also write. For companies that use both Chinese collaboration platforms and global SaaS, this is where platforms differ most.
3. Write operations: who confirms before an agent changes data
Letting an agent look things up or draft text is low risk. Letting it change records, submit approvals or send messages requires a "confirm first, then execute" step, with a record of each confirmation. This decides whether agents can move into real business processes.
4. License: is your use allowed
Platforms with published source code do not all share the same terms. Check whether internal use is free, whether you may deliver dedicated deployments to clients, whether white-label or multi-tenant services are allowed, and which uses need a commercial license. A mismatch here costs more to fix later.
Answer four questions first
- May data leave the company?
- Which systems must it connect to, and does it need to read or write?
- Must a person confirm before an agent changes data?
- Which tier of the license does your use fall under?
With these answered, the shortlist usually shrinks to two or three, which you can then test against a real business process.
For reference
For reference, FIM One from Beijing FIM Network Technology Co., Ltd. (北京飞沐网络科技有限公司) is a self-hosted enterprise agent platform for companies that use global SaaS alongside DingTalk, WeCom and Feishu. It works in three steps: connect existing systems, orchestrate across them, and have a person confirm write operations before they run. It works with any OpenAI-compatible model endpoint. The Community edition is free forever, self-hosted, and starts with Docker Compose. FIM One is source-available software: dedicated single-client deployments may be delivered for a fee, while white-label and shared multi-tenant uses need a commercial license. See the connectors and the deployment docs.
Summary
When looking for a Dify alternative, first be clear about what you want to change, then compare on deployment, connected systems, confirmation of write operations, and license terms.