The Best Proxed.AI Alternatives in 2026

Orq.ai provides an enterprise AI gateway with access to hundreds of models, guardrails, cost limits, and audit trails.

Galileo evaluates, monitors, and protects generative AI applications through observability tools for AI teams.

Metorial connects employees, agents, and AI clients to company tools and skills with access controls and tracing.

Open-source version control system for Data Science and Machine Learning projects. Git-like experience to organize your data, models, and experiments.

Moderne coordinates AI coding agents across repositories with deterministic workflows and code-change controls.

Langdock helps organizations deploy and manage AI tools across teams with controls for secure, flexible adoption.

Espresso AI uses machine learning to optimize Snowflake and Databricks data warehouses and reduce query and infrastructure costs.

BurnRate tracks AI model provider spending in a dashboard and offers a local CLI for agent-level costs.

Guardrails AI provides a framework for building, governing, and deploying reliability controls for generative AI systems.

Package, configure, and iterate on a model with Truss at whatever level of control your model needs.

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

MiroShark describes a swarm intelligence engine for simulating scenarios with stated time and cost targets.

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

agenttrace audits coding-agent sessions, tracking costs, tokens, latency, failures, and health.

Pachyderm provides data-focused pipelines and version control for datasets and related workflows.

Polyaxon describes its repository as infrastructure for AI orchestration and control.

lakeFS provides data version control for data lakes using Git-style workflows.

Mirai Labs builds uzu, a Rust LLM engine for Apple devices, with compact Qwen, LFM, and Muse-Glimmer models.

NVIDIA NIM offers APIs for trying models used to build enterprise generative AI applications.

Guild helps engineering teams manage, govern, and share deployed AI agents.

Arize Phoenix provides observability and evaluation tools for AI applications and systems.

Forefront provides a platform for fine tuning and running inference with open source language models.

systemprompt.io governs connected AI clients, models, and tools with access policies and audit on user infrastructure.

The open source Feast feature store lets teams define, manage, discover, and serve features for machine learning.