The Best OneComp Alternatives in 2026

PromptSite provides prompt version management for tracking, experimentation, and debugging LLM prompts.

DeepEval is an LLM evaluation framework, according to its repository description.

LiteLLM provides a way to call more than 100 language models through an OpenAI-compatible interface.

This repository contains utilities intended for use with Llama models.

Ollama runs language models locally and provides tools to work with model files and APIs.

OpenLLMetry provides OpenTelemetry-based observability for generative AI and large language model applications.

GPTCache provides semantic caching for large language models and integrates with LangChain and LlamaIndex.

This repository describes technologies for enabling AI capabilities with large and multimodal language models.

Semantic Cache Router presents a distributed semantic cache and stateful routing system.

Notte provides cloud browser infrastructure and web automation for AI and coding agents.

Chutes provides serverless compute for deploying, running, and scaling AI models through its platform and API.

Glide provides an open model gateway for developing production generative AI applications.

Manifest connects AI agents and tools to multiple model providers through an LLM gateway.

OpenLIT provides observability and evaluation for AI agents and coding agents, tracing models, tools, prompts, costs, and workflows.

Hugging Face Text Embeddings Inference serves text embedding models through an inference solution.

ColossalAI provides tools intended to make large AI models cheaper, faster, and more accessible.

Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

The abso TypeScript SDK calls more than 100 LLM providers through an OpenAI compatible format.

A JavaScript Native PyTorch-aligned Machine Learning Framework, built from scratch on WebGPU.

Stakpak runs an agent on a machine to ship code and keep applications running.

OpenModelZ scales LLM inference on Kubernetes with engines including vLLM, SGLang, and LMDeploy.

Upstage builds large language models and document-processing engines for workplace workflows.

Chunk Tuner benchmarks document chunking strategies for RAG and recommends a configuration through a CLI, Python library, or MCP server.

DEAP provides a Python framework for prototyping evolutionary computation algorithms and testing new ideas.