AIBackends: Python Library for Local-Model AI Workflows
Melvin Vivas · X post · 2026-08-17 · Open on X
Topics: LLMOps, Deployment & Monitoring, AI Dev Tools & Productivity · Level: intermediate
Summary
The creator shares his open-source project AIBackends. It is a Python library for running AI workflows and tasks with local models on a GPU, and he asks people to support the repo.
Key points
- AIBackends is a Python library for running AI workflows with local models.
- According to the repo description, it runs AI tasks locally on a GPU.
- Source code is on GitHub at donvito/aibackends; the project site is aibackends.com.
Resources mentioned
- AIBackends · repo · aibackends.com · free
Open-source API server runtime for common AI use cases that supports many models and providers (Ollama, LM Studio, OpenRouter, OpenAI, Anthropic).
Also in: Building a production website with Opus 5.5 and TanStack (Melvin Vivas on X · notes), CamelFlow: open-source visual viewer for Apache Camel routes (Melvin Vivas on X · notes), AI Backends: A Production AI Workflow Engineering Site (Link Share) (Melvin Vivas on X · notes), Demo: Claude Opus 5.5 Generating a Motion-Graphics Video for AIBackends (Melvin Vivas on X · notes) and 16 more
Try this
- Check out and support the AIBackends GitHub repo.
More in LLMOps, Deployment & Monitoring
- Self-Hosting Qwen3.8 27B FP8 on an H100 for $6.50/hr
- Hosted Qwen3.8 27B Costs More Than GPT 5.6 Luna, So Run It Locally
- Running Qwen3.8 27B Locally with Hermes
- AIBackends 0.4.0: Liquid AI LFM2.5 Models on llama.cpp and Transformers
- AIBackends Adds Support for LFM2.5-VL-3B
- Running LFM2.5-2.6B Q4_K_M Locally with llama.cpp and Pi