The Best Manifest Alternatives in 2026

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

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

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

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

Bifrost by Maxim AI is an open-source AI gateway for LLMs, MCP and agents with routing, governance, guardrails and observability, supporting 8+ providers and 1000+ models via a drop-in SDK replacement.

LiteLLM provides an AI gateway and LLM proxy with model routing, usage tracking, spend controls, and support for many providers.

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

OneCompression is a Python package for compressing large language models.

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

Kitaru provides agent traces that teams can run and inspect during application workflows.

Latitude provides observability for AI agents and helps teams trace failures and verify fixes.

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

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

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

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

LLM Gateway routes, manages, and analyzes requests across more than 40 language-model providers through one API.

ORMB packages machine learning models as OCI artifacts, in a workflow described as Docker for ML models.

Cog packages machine learning models into containers to support deployment across environments.

DJL is a Java framework for running deep learning models across different engines.

Machine learning operations and large language model operations are the focus of Starwhale’s platform.

ONNX-MLIR compiles ONNX models using MLIR compiler infrastructure for model deployment workflows.

ModelDB tracks machine learning model versions, metadata, and experiments.

FastChat offers an open platform for training, serving, and evaluating large language models, and hosts release repositories for Vicuna and Chatbot Arena.

Flexible, high-performance serving system for machine learning models.