Dify vs LocalAI: which one to choose in 2026?
Both are open source alternatives to OpenAI API. We compare license, tech stack and features to help you decide which fits your team best.
| Dify | LocalAI | |
|---|---|---|
| Category | Artificial Intelligence | Artificial Intelligence |
| License | Apache-2.0 | MIT |
| GitHub stars | ~54k | ~26k |
| Tech stack | Python, Next.js, PostgreSQL | Go, C++ |
| Replaces | OpenAI API | OpenAI API |
Dify has more GitHub stars, which usually indicates a larger community (not necessarily that it's the best option for your use case).
Dify
Platform for building AI apps with a visual editor and observability.
ℹ️ 40GB is the project's official recommendation for a production deployment (covers Postgres, Redis and the rest of the stack). No GPU of its own required — it only helps if you connect a local embeddings/inference runtime.
Pros
- Cuts down a lot of the code needed to ship an AI product
Things to consider
- Full production stack has several services (Weaviate/Redis)
LocalAI
OpenAI-compatible API running local models, no per-token cost.
ℹ️ The base image itself is small, but the models you download (GGUF/GGML) can add tens of GB on top — not included in this estimate. Runs on CPU; auto-detects and uses NVIDIA/AMD/Intel GPUs when available.
Pros
- Near-direct migration from code already using the OpenAI API
Things to consider
- Needs decent hardware (ideally a GPU) for large models
Key features
Dify
- Visual editor for AI agents and flows
- Observability and logs for every conversation
- Multi-model: OpenAI, Anthropic, local
LocalAI
- API compatible with the OpenAI SDK
- Chat, images, embeddings and audio
- Runs GGUF, GGML and more model formats
Already know which one you prefer?
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