SylphAI-Inc/AdalFlow
AdalFlow: The library to build & auto-optimize LLM applications.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Appears on
Quick read
Latest capture 2026-09-10 03:08
Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.
4 paths
Agent instructions and tool configuration found in this repository.
7 observed captures since 2026-05-25. Observed captures are shown by default.
Stars from first capture +63
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
AdalFlow: The library to build & auto-optimize LLM applications.
High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale
Achieve state of the art inference performance with modern accelerators on Kubernetes
Low-code framework for building custom LLMs, neural networks, and other AI models
The simplest way to run LLaMA on your local machine
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.